Ann E. Cowan
Impact in
- Aging top 5%
- Reproductive Medicine top 2%
- Sperm and Testicular Function
Papers in
-
- Lipid Membrane Structure and Behavior 6
- Gene Regulatory Network Analysis 5
- Cell Biology 16
- Microtubule and mitosis dynamics 6
- Cellular transport and secretion 6
- Co-authors
- Peter Setlow (16 shared papers)Barbara Setlow (7 shared papers)Dennis E. Koppel (10 shared papers)David K. Han (3 shared papers)Diana G. Myles (6 shared papers)Guo‐Hua Fong (1 shared paper)Kotaro Takeda (1 shared paper)Charles A. Loshon (2 shared papers)
- Journals
- Journal of Bacteriology (8 papers)Journal of Applied Microbiology (5 papers)Molecular Biology of the Cell (5 papers)Developmental Biology (4 papers)Biophysical Journal (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ann E. Cowan
72 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 156
- Aging 86
- Reproductive Medicine 339
- Biotechnology 357
- Molecular Biology 2.0k
- Biophysics 148
Countries citing papers authored by Ann E. Cowan
This map shows the geographic impact of Ann E. Cowan'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 Ann E. Cowan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann E. Cowan more than expected).
Fields of papers citing papers by Ann E. Cowan
This network shows the impact of papers produced by Ann E. Cowan. 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 Ann E. Cowan. The network helps show where Ann E. Cowan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann E. Cowan, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 347 | |
| 2 | 2004 | 223 | |
| 3 | 2007 | 194 | |
| 4 | 2008 | 190 | |
| 5 | 2002 | 176 | |
| 6 | 2007 | 166 | |
| 7 | 2004 | 159 | |
| 8 | 2003 | 145 | |
| 9 | 2003 | 126 | |
| 10 | 2002 | 96 | |
| 11 | 2012 | 94 | |
| 12 | 2013 | 92 | |
| 13 | 2011 | 91 | |
| 14 | 2006 | 85 | |
| 15 | 2008 | 83 | |
| 16 | 2009 | 72 | |
| 17 | 1985 | 68 | |
| 18 | 1986 | 61 | |
| 19 | 1988 | 60 | |
| 20 | 2012 | 59 |
About Ann E. Cowan
Ann E. Cowan is a scholar working on Molecular Biology, Cell Biology, Genetics, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 72 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Sperm and Testicular Function (9 papers), Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (6 papers), Reproductive Biology and Fertility (6 papers), Gene Regulatory Network Analysis (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Aging (86 citations), Reproductive Medicine (339 citations), Biotechnology (357 citations), Molecular Biology (2.0k citations) and Biophysics (148 citations). Ann E. Cowan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peter Setlow, Barbara Setlow, Dennis E. Koppel, David K. Han, Diana G. Myles, Guo‐Hua Fong, Kotaro Takeda, Charles A. Loshon, Karim Rezaul and William A. Mohler. Their work appears in journals such as Journal of Bacteriology, Journal of Applied Microbiology, Molecular Biology of the Cell, Developmental Biology and Biophysical Journal.
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.