Benjamin Hillmann Google Scholar: h-index, Total Citations, and Citation Map
Benjamin Hillmann's h-index is 21 (23 i10-index, 31,738+ total citations across 33+ publications) according to Google Scholar as of October 2026. Benjamin Hillmann is affiliated with Graduate Student, University of Minnesota - Twin Cities.
Benjamin Hillmann is a researcher affiliated with Graduate Student, University of Minnesota - Twin Cities, specializing in Artificial Intelligence, Machine Learning, Metagenomics. Their work has been cited 31,738 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Benjamin Hillmann's Citation Metrics
Bibliometric impact based on 33 indexed publications.
- H-Index
- 21
- i10-Index
- 23
- Total Citations
- 31,738
- Citing Countries
- 46
As of October 2026.
Benjamin Hillmann has an h-index of 21 and 31,738 total citations across 33 publications, with research cited by institutions in 46 countries.
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Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
201925,340
Top Citing Countries
Top Citing Institutions
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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 demonstrated that US immigration significantly alters the human gut microbiome, providing foundational evidence on how environmental shifts impact microbial diversity.
The researcher developed QIIME 2, a highly cited framework enabling reproducible, interactive, scalable, and extensible microbiome data science, establishing a standard for computational analysis in the field.
The researcher established a framework for identifying personalized diet-microbiome associations through daily sampling, as demonstrated in a highly cited 2019 Cell Host and Microbe paper.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Benjamin Hillmann's research
Benjamin Hillmann is a researcher in Artificial Intelligence, Machine Learning and Metagenomics at Graduate Student, University of Minnesota - Twin Cities. Their work has been cited 31,738 times across 33 publications (h-index 21), according to Google Scholar.
Their most-cited work, “Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2” (2019), has accumulated 25,340 citations. Other influential works include “US immigration westernizes the human gut microbiome” (2018) with 935 citations and “Daily Sampling Reveals Personalized Diet-Microbiome Associations in Humans” (2019) with 802 citations.
Citations of Benjamin Hillmann's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
