Michael Wasserman
- Cell Biology top 1%
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques 3
- Structural Biology top 5%
- Clinical Psychology top 5%
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- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 8
- DNA Repair Mechanisms 5
- DNA and Nucleic Acid Chemistry 4
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
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- Geriatric Care and Nursing Homes 7
- Co-authors
- Marvin E. WolfgangThorsten SellinRobert M. FiglioScott C. BlanchardRuss B. AltmanJames P. ButlerJeffrey J. FredbergXavier Trepat
- Journals
- Nature Structural & Molecular Biology (4 papers)Journal of the American Geriatrics Society (3 papers)Journal of the American Medical Directors Association (3 papers)
- Partner nations
- United StatesTanzaniaSpain
In The Last Decade
Michael Wasserman
45 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Cell Biology 836
- Biophysics 262
- Structural Biology 60
- Clinical Psychology 562
- Sociology and Political Science 1.1k
Countries citing papers authored by Michael Wasserman
This map shows the geographic impact of Michael Wasserman'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 Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wasserman more than expected).
Fields of papers citing papers by Michael Wasserman
This network shows the impact of papers produced by Michael Wasserman. 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 Wasserman. The network helps show where Michael Wasserman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Wasserman, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 0 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 39 | |
| 13 | 2015 | 56 | |
| 14 | 2014 | 18 | |
| 15 | 2013 | 322 | |
| 16 | 2012 | 112 | |
| 17 | 2012 | 22 | |
| 18 | 2010 | 57 | |
| 19 | 2010 | 87 | |
| 20 | 2002 | 40 |
About Michael Wasserman
Michael Wasserman is a scholar working on Health Informatics, Structural Biology, Biophysics, Business and International Management and General Health Professions, having authored 48 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (8 papers), Geriatric Care and Nursing Homes (7 papers), DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cell Biology (836 citations), Biophysics (262 citations), Structural Biology (60 citations), Clinical Psychology (562 citations) and Sociology and Political Science (1.1k citations). Michael Wasserman has collaborated with scholars based in United States, Tanzania and Spain. Frequent co-authors include Marvin E. Wolfgang, Thorsten Sellin, Robert M. Figlio, Scott C. Blanchard, Russ B. Altman, James P. Butler, Jeffrey J. Fredberg, Xavier Trepat, Thomas E. Angelini and Emil Millet. Their work appears in journals such as Nature Structural & Molecular Biology, Journal of the American Geriatrics Society, Journal of the American Medical Directors Association, Biophysical Journal and Nature Communications.
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.