Michael P. Washburn
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications 48
- Mass Spectrometry Techniques and Applications 34
- Molecular Biology top 0.05%
- Genomics and Chromatin Dynamics 65
- Ubiquitin and proteasome pathways 52
- RNA Research and Splicing 41
- RNA modifications and cancer 32
- RNA and protein synthesis mechanisms 27
- Epigenetics and DNA Methylation 25
- Virology top 0.5%
- Aging top 0.5%
- Cell Biology top 0.2%
- Co-authors
- Laurence FlorensJohn R. YatesDirk WoltersSelene K. SwansonJerry L. WorkmanJoan ConawayRonald ConawayMihaela E. Sardiu
- 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
- Spectroscopy 5.8k
- Molecular Biology 21.3k
- Virology 1.4k
- Aging 295
- Cell Biology 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
The 25 scholars most cited alongside Michael P. Washburn, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 49 | |
| 9 | 2019 | 31 | |
| 10 | 2019 | 78 | |
| 11 | 2019 | 45 | |
| 12 | 2017 | 92 | |
| 13 | 2017 | 105 | |
| 14 | 2016 | 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)) | 2011 | 1 |
| 16 | 2007 | 56 | |
| 17 | 2006 | 54 | |
| 18 | 2006 | 23 | |
| 19 | Acetylation by Tip60 Is Required for Selective Histone Variant Exchange at DNA Lesionsbreakdown → | 2004 | 539 |
| 20 | 2002 | 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), Advanced Proteomics Techniques and Applications (48 papers), RNA Research and Splicing (41 papers), Mass Spectrometry Techniques and Applications (34 papers), RNA modifications and cancer (32 papers), RNA and protein synthesis mechanisms (27 papers) and Epigenetics and DNA Methylation (25 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.