James E. Gomez
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 12
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- William R. Bishai (4 shared papers)John D. McKinney (2 shared papers)Keith Frederick Chater (1 shared paper)Juliano Timm (1 shared paper)Tania Botha (1 shared paper)Wai-Tsing Chan (1 shared paper)Ernesto J. Muñoz‐Elías (1 shared paper)Deborah Tan Hung (12 shared papers)
- Journals
- Nature Communications (2 papers)Nature (2 papers)ACS Infectious Diseases (2 papers)Proceedings of the National Academy of Sciences (2 papers)mBio (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
James E. Gomez
24 papers receiving 1.9k citations
James E. Gomez's Hit Papers
Peers
Comparison fields: 5 of 82
- Infectious Diseases 1.1k
- Molecular Medicine 78
- Clinical Biochemistry 45
- Genetics 262
- Pharmacology 80
Countries citing papers authored by James E. Gomez
This map shows the geographic impact of James E. Gomez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James E. Gomez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Gomez more than expected).
Fields of papers citing papers by James E. Gomez
This network shows the impact of papers produced by James E. Gomez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James E. Gomez. The network helps show where James E. Gomez may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Gomez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets Hit paper breakdown → | 2021 | 600 |
| 2 | 2017 | 216 | |
| 3 | 2004 | 184 | |
| 4 | 2000 | 136 | |
| 5 | 2019 | 123 | |
| 6 | 2000 | 119 | |
| 7 | 2012 | 92 | |
| 8 | 2017 | 86 | |
| 9 | 1995 | 64 | |
| 10 | 1997 | 62 | |
| 11 | 2017 | 60 | |
| 12 | 2008 | 58 | |
| 13 | 2021 | 38 | |
| 14 | 2012 | 30 | |
| 15 | 2015 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2003 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2023 | 10 | |
| 20 | 2025 | 7 |
About James E. Gomez
James E. Gomez is a scholar working on Infectious Diseases, Genetics, Molecular Medicine, Pharmacology and Computational Theory and Mathematics, having authored 25 papers that have together received 2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Bacterial Genetics and Biotechnology (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Single-cell and spatial transcriptomics (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Molecular Medicine (78 citations), Clinical Biochemistry (45 citations), Genetics (262 citations) and Pharmacology (80 citations). James E. Gomez has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include William R. Bishai, John D. McKinney, Keith Frederick Chater, Juliano Timm, Tania Botha, Wai-Tsing Chan, Ernesto J. Muñoz‐Elías, Deborah Tan Hung, Chiew G. Ko and Benjamin Kaufmann-Malaga. Their work appears in journals such as Nature Communications, Nature, ACS Infectious Diseases, Proceedings of the National Academy of Sciences and mBio.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.