Michael R. McKeown
- Molecular Biology top 5%
- Biophysics top 0.2%
- Hematology top 5%
- Cellular and Molecular Neuroscience top 5%
- Nuclear and High Energy Physics top 5%
- Co-authors
- Roger Y. TsienMichael Z. LinMichael W. DavidsonJames E. BradnerNathan C. ShanerG. Scharff‐GoldhaberKristin L. HazelwoodPaul Steinbach
- Topics
- Nuclear physics research studies (15 papers)Protein Degradation and Inhibitors (9 papers)Nuclear Physics and Applications (8 papers)
- Journals
- CellPhysical Review LettersBlood
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Michael R. McKeown
49 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 2.1k
- Biophysics 702
- Hematology 342
- Cellular and Molecular Neuroscience 339
- Nuclear and High Energy Physics 333
Countries citing papers authored by Michael R. McKeown
This map shows the geographic impact of Michael R. McKeown'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 R. McKeown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. McKeown more than expected).
Fields of papers citing papers by Michael R. McKeown
This network shows the impact of papers produced by Michael R. McKeown. 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 R. McKeown. The network helps show where Michael R. McKeown may publish in the future.
Co-authorship network of co-authors of Michael R. McKeown
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. McKeown. A scholar is included among the top collaborators of Michael R. McKeown 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 R. McKeown. Michael R. McKeown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 89 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 69 | |
| 8 | 168 | |
| 9 | 13 | |
| 10 | Discovery and Characterization of Super-Enhancer-Associated Dependencies in Diffuse Large B Cell Lymphomabreakdown → | 550 |
| 11 | Improving FRET dynamic range with bright green and red fluorescent proteinsbreakdown → | 591 |
| 12 | 300 | |
| 13 | 203 | |
| 14 | Improving the photostability of bright monomeric orange and red fluorescent proteinsbreakdown → | 778 |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 29 | |
| 18 | 0 | |
| 19 | 21 | |
| 20 | 11 |
About Michael R. McKeown
Michael R. McKeown is a scholar working on Radiation, Nuclear and High Energy Physics and Structural Biology, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nuclear physics research studies (15 papers), Protein Degradation and Inhibitors (9 papers) and Nuclear Physics and Applications (8 papers). The work is most often cited by research in Biophysics (702 citations), Structural Biology (63 citations) and Hematology (342 citations). Michael R. McKeown has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Roger Y. Tsien, Michael Z. Lin, Michael W. Davidson, James E. Bradner, Nathan C. Shaner, G. Scharff‐Goldhaber, Kristin L. Hazelwood, Paul Steinbach, Jun Qi and Amy Lam. Their work appears in journals such as Cell, Physical Review Letters and Blood.
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.