Michael P. May
Impact in
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- Estrogen and related hormone effects
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Retinoids in leukemia and cellular processes
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
Papers in
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- Single-cell and spatial transcriptomics 2
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Retinoids in leukemia and cellular processes 2
- Gene Regulatory Network Analysis 2
- Genetics 3
- Co-authors
- Gabrielle Mengus (5 shared papers)Irwin Davidson (5 shared papers)Pierre Chambon (4 shared papers)L Carré (1 shared paper)Làszlò Tora (2 shared papers)Adrien Staub (1 shared paper)Xavier Jacq (1 shared paper)Anne-Claire Lavigne (2 shared papers)
- Journals
- The EMBO Journal (2 papers)Genes & Development (1 paper)PLoS Computational Biology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Michael P. May
8 papers receiving 366 citations
Peers
Comparison fields: 5 of 43
- Genetics 139
- Molecular Biology 309
- Immunology 47
- Pathology and Forensic Medicine 40
- Cancer Research 30
Countries citing papers authored by Michael P. May
This map shows the geographic impact of Michael P. May'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 P. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. May more than expected).
Fields of papers citing papers by Michael P. May
This network shows the impact of papers produced by Michael P. May. 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 P. May. The network helps show where Michael P. May may publish in the future.
Co-authors
The 17 scholars most cited alongside Michael P. May, 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 | 1997 | 115 | |
| 2 | 1995 | 103 | |
| 3 | 1996 | 70 | |
| 4 | 1996 | 43 | |
| 5 | 1998 | 25 | |
| 6 | 2019 | 13 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2025 | 0 |
About Michael P. May
Michael P. May is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Epidemiology, having authored 9 papers that have together received 371 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Retinoids in leukemia and cellular processes (2 papers), Gene Regulatory Network Analysis (2 papers), Williams Syndrome Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Genetics (139 citations), Molecular Biology (309 citations), Immunology (47 citations), Pathology and Forensic Medicine (40 citations) and Cancer Research (30 citations). Michael P. May has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Gabrielle Mengus, Irwin Davidson, Pierre Chambon, L Carré, Làszlò Tora, Adrien Staub, Xavier Jacq, Anne-Claire Lavigne, Herbert Pfister and Tatsuya Morisaki. Their work appears in journals such as The EMBO Journal, Genes & Development, PLoS Computational Biology, Frontiers in Cell and Developmental Biology 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.