Michael J. Harms
- Molecular Biology top 5%
- Protein Structure and Dynamics 18
- RNA and protein synthesis mechanisms 12
- S100 Proteins and Annexins 9
- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 5
- Genetics top 5%
- Evolution and Genetic Dynamics 10
- Physiology top 10%
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- Enzyme Structure and Function 6
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- Immune Response and Inflammation 6
- Co-authors
- Joseph W. ThorntonZachary R. SailerBertrand García‐Moreno E.J.L. SchlessmanGeeta N. EickLucas C. WheelerSusan MarquseeEric A. Ortlund
- Cited by
- Molecular BiologyGeneticsAging
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Michael J. Harms
49 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.6k
- Genetics 560
- Aging 16
- Physiology 33
- Materials Chemistry 300
Countries citing papers authored by Michael J. Harms
This map shows the geographic impact of Michael J. Harms'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 Michael J. Harms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Harms more than expected).
Fields of papers citing papers by Michael J. Harms
This network shows the impact of papers produced by Michael J. Harms. 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 Michael J. Harms. The network helps show where Michael J. Harms may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. Harms, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 10 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 51 | |
| 14 | 2017 | 88 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 102 | |
| 17 | 2014 | 105 | |
| 18 | 2014 | 66 | |
| 19 | 2012 | 97 | |
| 20 | 2011 | 146 |
About Michael J. Harms
Michael J. Harms is a scholar working on Molecular Biology, Genetics and Virology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), RNA and protein synthesis mechanisms (12 papers), Evolution and Genetic Dynamics (10 papers), S100 Proteins and Annexins (9 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Structure and Function (6 papers), Immune Response and Inflammation (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (560 citations) and Aging (16 citations). Michael J. Harms has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Joseph W. Thornton, Zachary R. Sailer, Bertrand García‐Moreno E., J.L. Schlessman, Geeta N. Eick, Lucas C. Wheeler, Susan Marqusee, Eric A. Ortlund, Jamie T. Bridgham and Shion A. Lim. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.