Michael E. Werner
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Renal and related cancers 6
- Cell Biology 18
- Microtubule and mitosis dynamics 15
- Co-authors
- Michael Glotzer (5 shared papers)Brian J. Mitchell (11 shared papers)Andrew Z. Wang (16 shared papers)Rohit Sukumar (8 shared papers)Leigh W. Simmons (3 shared papers)Natalie D. Cummings (11 shared papers)Edina C. Wang (8 shared papers)Manish Sethi (5 shared papers)
- Journals
- Current Biology (5 papers)The Journal of Cell Biology (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Journal of Biological Chemistry (3 papers)Blood (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael E. Werner
80 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 130
- Aging 191
- Cell Biology 846
- Biomaterials 469
- Molecular Biology 1.4k
- Genetics 528
Countries citing papers authored by Michael E. Werner
This map shows the geographic impact of Michael E. Werner'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 E. Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Werner more than expected).
Fields of papers citing papers by Michael E. Werner
This network shows the impact of papers produced by Michael E. Werner. 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 E. Werner. The network helps show where Michael E. Werner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Werner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 290 | |
| 2 | 2013 | 200 | |
| 3 | 2005 | 180 | |
| 4 | 2011 | 152 | |
| 5 | 2011 | 144 | |
| 6 | 1999 | 118 | |
| 7 | 2013 | 112 | |
| 8 | 2007 | 111 | |
| 9 | 2011 | 107 | |
| 10 | 2012 | 106 | |
| 11 | 2008 | 100 | |
| 12 | 2012 | 97 | |
| 13 | 2018 | 84 | |
| 14 | 2005 | 79 | |
| 15 | 2014 | 77 | |
| 16 | 2011 | 77 | |
| 17 | 2014 | 71 | |
| 18 | 2019 | 61 | |
| 19 | 2013 | 56 | |
| 20 | 2016 | 56 |
About Michael E. Werner
Michael E. Werner is a scholar working on Molecular Biology, Cell Biology, Genetics, Biomaterials and Oncology, having authored 85 papers that have together received 3.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (15 papers), Genetic and Kidney Cyst Diseases (9 papers), Nanoparticle-Based Drug Delivery (9 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Acute Myeloid Leukemia Research (7 papers), Insect and Arachnid Ecology and Behavior (6 papers), Renal and related cancers (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). The work is most often cited by research in Aging (191 citations), Cell Biology (846 citations), Biomaterials (469 citations), Molecular Biology (1.4k citations) and Genetics (528 citations). Michael E. Werner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Michael Glotzer, Brian J. Mitchell, Andrew Z. Wang, Rohit Sukumar, Leigh W. Simmons, Natalie D. Cummings, Edina C. Wang, Manish Sethi, Shrirang Karve and Peter K. Hwang. Their work appears in journals such as Current Biology, The Journal of Cell Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Biological Chemistry 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.