Kevin O‘Connell
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 1%
- Microtubule and mitosis dynamics
Papers in
-
- Photosynthetic Processes and Mechanisms 13
- Fungal and yeast genetics research 4
- Mitochondrial Function and Pathology 4
- Cell Biology 19
- Microtubule and mitosis dynamics 19
- Co-authors
- John G. White (3 shared papers)Peder Zipperlen (1 shared paper)Julie Ahringer (1 shared paper)Kara N. Maxwell (1 shared paper)J.O. White (1 shared paper)Richard E. Baker (3 shared papers)Kenneth J. Kemphues (2 shared papers)Mi Hye Song (5 shared papers)
- Journals
- Genetics (3 papers)Developmental Cell (3 papers)Nature Communications (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Current Biology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Kevin O‘Connell
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 84
- Aging 507
- Cell Biology 965
- Molecular Biology 1.2k
- Infectious Diseases 199
- Genetics 261
Countries citing papers authored by Kevin O‘Connell
This map shows the geographic impact of Kevin O‘Connell'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 Kevin O‘Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin O‘Connell more than expected).
Fields of papers citing papers by Kevin O‘Connell
This network shows the impact of papers produced by Kevin O‘Connell. 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 Kevin O‘Connell. The network helps show where Kevin O‘Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin O‘Connell, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 255 | |
| 2 | 2004 | 229 | |
| 3 | 2011 | 166 | |
| 4 | 2000 | 132 | |
| 5 | 1998 | 112 | |
| 6 | 1991 | 100 | |
| 7 | 2013 | 90 | |
| 8 | 1985 | 84 | |
| 9 | 2009 | 74 | |
| 10 | 2020 | 59 | |
| 11 | 2011 | 56 | |
| 12 | 2020 | 53 | |
| 13 | 1988 | 49 | |
| 14 | 1989 | 47 | |
| 15 | 2008 | 46 | |
| 16 | 1995 | 46 | |
| 17 | 1992 | 44 | |
| 18 | 2007 | 36 | |
| 19 | 2010 | 32 | |
| 20 | 2012 | 26 |
About Kevin O‘Connell
Kevin O‘Connell is a scholar working on Molecular Biology, Cell Biology, Aging, Plant Science and Genetics, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (19 papers), Genetics, Aging, and Longevity in Model Organisms (18 papers), Photosynthetic Processes and Mechanisms (13 papers), Fungal and yeast genetics research (4 papers), Mitochondrial Function and Pathology (4 papers), Reproductive Biology and Fertility (4 papers), Plant Molecular Biology Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Aging (507 citations), Cell Biology (965 citations), Molecular Biology (1.2k citations), Infectious Diseases (199 citations) and Genetics (261 citations). Kevin O‘Connell has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John G. White, Peder Zipperlen, Julie Ahringer, Kara N. Maxwell, J.O. White, Richard E. Baker, Kenneth J. Kemphues, Mi Hye Song, Charles M. Leys and Daryl D. Hurd. Their work appears in journals such as Genetics, Developmental Cell, Nature Communications, Antimicrobial Agents and Chemotherapy and Current 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.