Keith M. O'Connell
Impact in
- Biotechnology top 2%
- Transgenic Plants and Applications
- Plant Science top 5%
- Plant Virus Research Studies
- Weed Control and Herbicide Applications
Papers in
-
- Plant tissue culture and regeneration 6
- Ubiquitin and proteasome pathways 2
- Glutathione Transferases and Polymorphisms 1
-
- Plant Virus Research Studies 5
- Weed Control and Herbicide Applications 2
- Co-authors
- Nilgun E. Tumer (4 shared papers)Robert T. Fraley (3 shared papers)Nam‐Hai Chua (2 shared papers)Rongxiang Fang (2 shared papers)Maria Cuozzo (2 shared papers)Wojciech Kaniewski (2 shared papers)Richard S. Nelson (1 shared paper)Dilip M. Shah (1 shared paper)
- Journals
- Diabetes (2 papers)Endocrinology (1 paper)Nature Biotechnology (1 paper)The EMBO Journal (1 paper)Plant Molecular Biology Reporter (1 paper)
- Partner nations
- United States
In The Last Decade
Keith M. O'Connell
15 papers receiving 676 citations
Peers
Comparison fields: 5 of 62
- Biotechnology 342
- Plant Science 554
- Molecular Biology 643
- Endocrinology 34
- Pollution 45
Countries citing papers authored by Keith M. O'Connell
This map shows the geographic impact of Keith M. 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 Keith M. 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 Keith M. O'Connell more than expected).
Fields of papers citing papers by Keith M. O'Connell
This network shows the impact of papers produced by Keith M. 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 Keith M. O'Connell. The network helps show where Keith M. O'Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith M. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 215 | |
| 2 | 1987 | 180 | |
| 3 | 1987 | 76 | |
| 4 | 1986 | 71 | |
| 5 | 1988 | 61 | |
| 6 | 1982 | 50 | |
| 7 | 1990 | 35 | |
| 8 | 1982 | 30 | |
| 9 | 1985 | 19 | |
| 10 | 1985 | 14 | |
| 11 | 1980 | 14 | |
| 12 | 1982 | 14 | |
| 13 | 1979 | 14 | |
| 14 | 1975 | 9 | |
| 15 | 1987 | 5 |
About Keith M. O'Connell
Keith M. O'Connell is a scholar working on Molecular Biology, Plant Science, Biotechnology, Surgery and Pollution, having authored 15 papers that have together received 807 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (6 papers), Plant Virus Research Studies (5 papers), Transgenic Plants and Applications (4 papers), Ubiquitin and proteasome pathways (2 papers), Weed Control and Herbicide Applications (2 papers), Pancreatic function and diabetes (2 papers), Pesticide and Herbicide Environmental Studies (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Biotechnology (342 citations), Plant Science (554 citations), Molecular Biology (643 citations), Endocrinology (34 citations) and Pollution (45 citations). Keith M. O'Connell has collaborated with scholars based in United States. Frequent co-authors include Nilgun E. Tumer, Robert T. Fraley, Nam‐Hai Chua, Rongxiang Fang, Maria Cuozzo, Wojciech Kaniewski, Richard S. Nelson, Dilip M. Shah, Patricia R. Sanders and Roger N. Beachy. Their work appears in journals such as Diabetes, Endocrinology, Nature Biotechnology, The EMBO Journal and Plant Molecular Biology Reporter.
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.