Michael Wu
Impact in
- Aging top 5%
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Cellular Mechanics and Interactions
Papers in
-
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Developmental Biology and Gene Regulation 2
- Glycosylation and Glycoproteins Research 1
-
- Reproductive Biology and Fertility 2
- Co-authors
- John C. Gerhart (4 shared papers)Marvin Wickens (1 shared paper)Michael Sheets (1 shared paper)Brian A. Rowning (1 shared paper)Jack Taunton (1 shared paper)Margaret Coughlin (1 shared paper)Timothy J. Mitchison (1 shared paper)Randall T. Moon (1 shared paper)
- Journals
- Current Biology (1 paper)Archives of Biochemistry and Biophysics (1 paper)Nature (1 paper)PLoS ONE (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Michael Wu
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Aging 55
- Cell Biology 476
- Molecular Biology 849
- Paleontology 77
- Reproductive Medicine 80
Countries citing papers authored by Michael Wu
This map shows the geographic impact of Michael Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wu more than expected).
Fields of papers citing papers by Michael Wu
This network shows the impact of papers produced by Michael Wu. 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 Wu. The network helps show where Michael Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Wu, 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 | 2000 | 356 | |
| 2 | 2006 | 268 | |
| 3 | 1980 | 214 | |
| 4 | 1995 | 197 | |
| 5 | 1991 | 77 | |
| 6 | 2002 | 59 | |
| 7 | 2012 | 38 | |
| 8 | 2000 | 21 | |
| 9 | 2011 | 17 | |
| 10 | 1991 | 8 | |
| 11 | 2017 | 3 |
About Michael Wu
Michael Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cell Biology, Aquatic Science and Oncology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Reproductive Biology and Fertility (2 papers), Developmental Biology and Gene Regulation (2 papers), Genetic diversity and population structure (1 paper), Echinoderm biology and ecology (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Aging (55 citations), Cell Biology (476 citations), Molecular Biology (849 citations), Paleontology (77 citations) and Reproductive Medicine (80 citations). Michael Wu has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include John C. Gerhart, Marvin Wickens, Michael Sheets, Brian A. Rowning, Jack Taunton, Margaret Coughlin, Timothy J. Mitchison, Randall T. Moon, Carolyn A. Larabell and Christopher J. Lowe. Their work appears in journals such as Current Biology, Archives of Biochemistry and Biophysics, Nature, PLoS ONE and Developmental 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.