Frances Arnold

Frances Arnold is a researcher affiliated with Professor of chemical engineering, Caltech, specializing in Chemical Engineering. Their work has been cited 85,415 times. This profile visualizes their global influence, highlighting strong citation networks in US.

Chemical Engineering

0h-index

0i10-index

0Citations

0Works

0Countries

Professor of chemical engineering, Caltech•

Google Scholar

Unlock Full Map — Pro tier (10K–100K citations)

One-time payment. Full data, CSV export, and embed code.

Viewing Limited Data

Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.

Frances Arnold's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 85,415
Citing Countries: 2

As of April 2026.

Frances Arnold has an h-index of 1 and 85,415 total citations across 1 publication, with research cited by institutions in 2 countries.

Global Impact Map

Visualizing the geographic distribution of institutions that have cited your work.

Marker

Color

Show home

Top Citing Countries(Limited)

United States(US)

Top Citing Institutions(Limited)

Chan Zuckerberg Biohub

Yonsei University

Duke University

University of Pennsylvania

Stanford University

Visa Evidence Package

Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.

Citer Influence Network

Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 3 of 3 countries (19 total citations).

Scholar

Frances Arnold

193

United States

Republic of Korea

USA

React Flow

Letter of Support — Candidate Recommenders

Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.

#1
Lindsay Riley
7.0
Duke University
USA· Cited your work 1 time
IndependentTop institution
#2
Tatiana Segura
7.0
Duke University
USA· Cited your work 1 time
IndependentTop institution
#3
Nicholas Schaum
7.0
Stanford University
United States· Cited your work 1 time
IndependentTop institution
#4
Michelle Tan
5.0
Chan Zuckerberg Biohub
United States· Cited your work 1 time
Independent
#5
Ji Hyun Lee
6.5
Yonsei University
Republic of Korea· Cited your work 1 time
IndependentDiversifies geography
#6
Duhee Bang
6.5
Yonsei University
Republic of Korea· Cited your work 1 time
IndependentDiversifies geography
#7
Jason A. Burdick
7.0
University of Pennsylvania
USA· Cited your work 1 time
IndependentTop institution
#8
Andrew C. Daly
7.0
University of Pennsylvania
USA· Cited your work 1 time
IndependentTop institution
#9
Andrew P. May
5.0
Chan Zuckerberg Biohub
United States· Cited your work 1 time
Independent
#10
Spyros Darmanis
5.0
Chan Zuckerberg Biohub
United States· Cited your work 1 time
Independent

Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.

Cited by 4 papers

4 / 4 independent

Citations flagged as non-independent share the scholar's home institution (California Institute of Technology). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.

Single-cell RNA sequencing technologies and bioinformatics pipelines
Byungjin Hwang, Ji Hyun Lee, Duhee Bang
Experimental & Molecular Medicine· cites “Dynamic pattern formation in a vesicle-generating microfluidic device”
(title pending — citation is still being processed)
· cites “Dynamic pattern formation in a vesicle-generating microfluidic device”
Hydrogel microparticles for biomedical applications
Andrew C. Daly, Lindsay Riley, Tatiana Segura, Jason A. Burdick
Nature Reviews Materials· cites “Dynamic pattern formation in a vesicle-generating microfluidic device”
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
Nicholas Schaum, Jim Karkanias, Norma F. Neff, Andrew P. May + 10 more
Nature· cites “Dynamic pattern formation in a vesicle-generating microfluidic device”