Michael Ritt
Impact in
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- Neuropeptides and Animal Physiology
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Cellular transport and secretion 4
- Microtubule and mitosis dynamics 3
- Cellular Mechanics and Interactions 3
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Sivaraj Sivaramakrishnan (20 shared papers)Yuze Sun (2 shared papers)Qiushu Chen (2 shared papers)Xudong Fan (2 shared papers)Rabia U. Malik (4 shared papers)Xingwang Zhang (1 shared paper)Roger K. Sunahara (2 shared papers)Nagarajan Vaidehi (3 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Lab on a Chip (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Pharmacology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesIndiaBulgaria
In The Last Decade
Michael Ritt
20 papers receiving 572 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 154
- Biophysics 47
- Molecular Biology 338
- Immunology and Allergy 22
- Acoustics and Ultrasonics 3
Countries citing papers authored by Michael Ritt
This map shows the geographic impact of Michael Ritt'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 Ritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ritt more than expected).
Fields of papers citing papers by Michael Ritt
This network shows the impact of papers produced by Michael Ritt. 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 Ritt. The network helps show where Michael Ritt may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ritt, 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 | 2013 | 97 | |
| 2 | 2023 | 71 | |
| 3 | 2014 | 69 | |
| 4 | 2013 | 66 | |
| 5 | 2014 | 66 | |
| 6 | 2013 | 35 | |
| 7 | 2017 | 32 | |
| 8 | 2014 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2019 | 19 | |
| 11 | 2017 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2016 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2018 | 2 |
About Michael Ritt
Michael Ritt is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Allergy and Biophysics, having authored 20 papers that have together received 582 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), Cellular transport and secretion (4 papers), Microtubule and mitosis dynamics (3 papers), Cellular Mechanics and Interactions (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (154 citations), Biophysics (47 citations), Molecular Biology (338 citations), Immunology and Allergy (22 citations) and Acoustics and Ultrasonics (3 citations). Michael Ritt has collaborated with scholars based in United States, India and Bulgaria. Frequent co-authors include Sivaraj Sivaramakrishnan, Yuze Sun, Qiushu Chen, Xudong Fan, Rabia U. Malik, Xingwang Zhang, Roger K. Sunahara, Nagarajan Vaidehi, Ning Ma and Ruth F. Sommese. Their work appears in journals such as Journal of Biological Chemistry, Lab on a Chip, Proceedings of the National Academy of Sciences, Molecular Pharmacology and Cancer Research.
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.