Tanya Yatsunenko Google Scholar: h-index, Total Citations, and Citation Map
Tanya Yatsunenko's h-index is 12 (12 i10-index, 66,342+ total citations across 22+ publications) according to Google Scholar as of October 2026. Tanya Yatsunenko is affiliated with BMS.
Tanya Yatsunenko is a researcher affiliated with BMS, specializing in various fields. Their work has been cited 66,342 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tanya Yatsunenko's Citation Metrics
Bibliometric impact based on 22 indexed publications.
- H-Index
- 12
- i10-Index
- 12
- Total Citations
- 66,342
- Citing Countries
- 46
As of October 2026.
Tanya Yatsunenko has an h-index of 12 and 66,342 total citations across 22 publications, with research cited by institutions in 46 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Tanya Yatsunenko's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
QIIME allows analysis of high-throughput community sequencing data
201039,286
Top Citing Countries
Top Citing Institutions
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed QIIME, a foundational software framework enabling the analysis of high-throughput community sequencing data, which has become a standard tool in microbial ecology.
The researcher established a foundational framework for identifying a core gut microbiome by analyzing microbial composition differences between obese and lean twins.
The researcher identified persistent gut microbiota immaturity in malnourished Bangladeshi children, establishing a foundational link between microbial development and malnutrition in a seminal Nature publication.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Tanya Yatsunenko's research
Tanya Yatsunenko is a researcher at BMS. Their work has been cited 66,342 times across 22 publications (h-index 12), according to Google Scholar.
Their most-cited work, “QIIME allows analysis of high-throughput community sequencing data” (2010), has accumulated 39,286 citations. Other influential works include “A core gut microbiome in obese and lean twins” (2009) with 10,215 citations and “Human gut microbiome viewed across age and geography” (2012) with 9,897 citations.
Citations of Tanya Yatsunenko's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
