Michelle R. Arkin
Impact in
- Molecular Biology top 0.5%
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Biophysics 11
- Cell Biology 26
- Endoplasmic Reticulum Stress and Disease 18
- Co-authors
- James A. WellsJacqueline K. BartonYinyan TangEric D. A. StempN. J. TURROCatherine J. MurphyStefan H. BossmannNaresh D. Ghatlia
- Journals
- Journal of the American Chemical Society (12 papers)SLAS DISCOVERY (7 papers)Proceedings of the National Academy of Sciences (6 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Cell chemical biology (5 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Michelle R. Arkin
145 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 6.7k
- Cell Biology 1.1k
- Oncology 1.7k
- Organic Chemistry 1.7k
- Computational Theory and Mathematics 932
Countries citing papers authored by Michelle R. Arkin
This map shows the geographic impact of Michelle R. Arkin'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 Michelle R. Arkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle R. Arkin more than expected).
Fields of papers citing papers by Michelle R. Arkin
This network shows the impact of papers produced by Michelle R. Arkin. 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 Michelle R. Arkin. The network helps show where Michelle R. Arkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle R. Arkin, 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 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 79 | |
| 14 | 2016 | 269 | |
| 15 | 2016 | 146 | |
| 16 | 2014 | 156 | |
| 17 | 2013 | 31 | |
| 18 | HER-2-directed, small-molecule antagonists. | 2008 | 8 |
| 19 | The phase I clinical compound SNS-595 acts during S-phase and causes a sustained G2 arrest | 2005 | 1 |
| 20 | 2003 | 288 |
About Michelle R. Arkin
Michelle R. Arkin is a scholar working on Biophysics, Cell Biology, Molecular Biology, Aging and Parasitology, having authored 151 papers that have together received 10.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), Endoplasmic Reticulum Stress and Disease (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), 14-3-3 protein interactions (15 papers), Trypanosoma species research and implications (15 papers), Research on Leishmaniasis Studies (14 papers), Microbial Natural Products and Biosynthesis (12 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Molecular Biology (6.7k citations), Cell Biology (1.1k citations), Oncology (1.7k citations), Organic Chemistry (1.7k citations) and Computational Theory and Mathematics (932 citations). Michelle R. Arkin has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include James A. Wells, Jacqueline K. Barton, Yinyan Tang, Eric D. A. Stemp, N. J. TURRO, Catherine J. Murphy, Stefan H. Bossmann, Naresh D. Ghatlia, Yonchu Jenkins and Steven Chen. Their work appears in journals such as Journal of the American Chemical Society, SLAS DISCOVERY, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters and Cell chemical biology.
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.