James Tiedje Google Scholar: h-index, Total Citations, and Citation Map
James Tiedje's h-index is 197 (716 i10-index, 187,721+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. James Tiedje is affiliated with University Distinguished Professor Emeritus, Michigan State University.
James Tiedje is a researcher affiliated with University Distinguished Professor Emeritus, Michigan State University, specializing in Microbiology, Soil science, Microbial Ecology. Their work has been cited 187,721 times. This profile visualizes their global influence, highlighting strong citation networks in China.
James Tiedje's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 197
- i10-Index
- 716
- Total Citations
- 187,721
- Citing Countries
- 115
As of October 2026.
James Tiedje has an h-index of 197 and 187,721 total citations across 1000 publications, with research cited by institutions in 115 countries.
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Global Impact Map
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Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy
200722,638
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 developed a Naïve Bayesian classifier for rapid rRNA sequence assignment into new bacterial taxonomy, a seminal method widely adopted for microbial identification.
The researcher developed improved alignments and new analytical tools for rRNA within the Ribosomal Database Project, establishing a widely adopted standard for microbial taxonomy.
The researcher established a critical quantitative framework linking DNA-DNA hybridization values to whole-genome sequence similarities, providing a foundational standard for microbial taxonomy.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About James Tiedje's research
James Tiedje is a researcher in Microbiology, Soil science and Microbial Ecology at University Distinguished Professor Emeritus, Michigan State University. Their work has been cited 187,721 times across 1,000 publications (h-index 197), according to Google Scholar.
Their most-cited work, “Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy” (2007), has accumulated 22,638 citations. Other influential works include “The Ribosomal Database Project: improved alignments and new tools for rRNA analysis.” (2009) with 5,735 citations and “DNA–DNA hybridization values and their relationship to whole-genome sequence similarities” (2007) with 5,250 citations.
Citations of James Tiedje's research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
