Michael P. Washburn
- Molecular Biology top 0.05%
- Spectroscopy top 0.05%
- Oncology top 1%
- Cell Biology top 0.2%
- Immunology top 1%
- Co-authors
- Laurence FlorensJohn R. YatesDirk WoltersSelene K. SwansonJerry L. WorkmanJoan ConawayRonald ConawayMihaela E. Sardiu
- Topics
- Genomics and Chromatin Dynamics (65 papers)Ubiquitin and proteasome pathways (52 papers)Advanced Proteomics Techniques and Applications (48 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Michael P. Washburn
256 papers receiving 27.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 21.3k
- Spectroscopy 5.8k
- Oncology 2.5k
- Cell Biology 2.2k
- Immunology 2.2k
Countries citing papers authored by Michael P. Washburn
This map shows the geographic impact of Michael P. Washburn'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. Washburn 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. Washburn more than expected).
Fields of papers citing papers by Michael P. Washburn
This network shows the impact of papers produced by Michael P. Washburn. 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. Washburn. The network helps show where Michael P. Washburn may publish in the future.
Co-authorship network of co-authors of Michael P. Washburn
This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Washburn. A scholar is included among the top collaborators of Michael P. Washburn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael P. Washburn. Michael P. Washburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 49 | |
| 9 | 31 | |
| 10 | 78 | |
| 11 | 45 | |
| 12 | 92 | |
| 13 | 105 | |
| 14 | 19 | |
| 15 | Heterochromatin protein 1 (HP1) connects the FACT histone chaperone complex to the phosphorylated CTD of RNA polymerase II (Genes & Development (2010) 24, (2133-2145)) | 1 |
| 16 | 56 | |
| 17 | 54 | |
| 18 | 23 | |
| 19 | Acetylation by Tip60 Is Required for Selective Histone Variant Exchange at DNA Lesionsbreakdown → | 539 |
| 20 | 307 |
About Michael P. Washburn
Michael P. Washburn is a scholar working on Molecular Biology, Spectroscopy and Cell Biology, having authored 260 papers that have together received 27.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (65 papers), Ubiquitin and proteasome pathways (52 papers) and Advanced Proteomics Techniques and Applications (48 papers). The work is most often cited by research in Spectroscopy (5.8k citations), Molecular Biology (21.3k citations) and Virology (1.4k citations). Michael P. Washburn has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Laurence Florens, John R. Yates, Dirk Wolters, Selene K. Swanson, Jerry L. Workman, Joan Conaway, Ronald Conaway, Mihaela E. Sardiu, Boris Zybailov and Ali Shilatifard. Their work appears in journals such as Nature, Science and Cell.
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.