Kenneth A. Feldmann
- Plant Science top 0.02%
- Molecular Biology top 0.2%
- Biochemistry top 0.2%
- Genetics top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- M. David MarksJoseph R. EckerJoseph J. KieberGregg RomanMadge RothenbergSuguru TakatsutoShozo FujiokaSunghwa Choe
- Topics
- Plant Molecular Biology Research (42 papers)Plant Reproductive Biology (33 papers)Plant tissue culture and regeneration (19 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Kenneth A. Feldmann
91 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Plant Science 13.5k
- Molecular Biology 10.9k
- Biochemistry 976
- Genetics 852
- Ecology, Evolution, Behavior and Systematics 556
Countries citing papers authored by Kenneth A. Feldmann
This map shows the geographic impact of Kenneth A. Feldmann'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 Kenneth A. Feldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth A. Feldmann more than expected).
Fields of papers citing papers by Kenneth A. Feldmann
This network shows the impact of papers produced by Kenneth A. Feldmann. 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 Kenneth A. Feldmann. The network helps show where Kenneth A. Feldmann may publish in the future.
Co-authorship network of co-authors of Kenneth A. Feldmann
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth A. Feldmann. A scholar is included among the top collaborators of Kenneth A. Feldmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenneth A. Feldmann. Kenneth A. Feldmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 111 | |
| 3 | 316 | |
| 4 | 181 | |
| 5 | 123 | |
| 6 | 146 | |
| 7 | 47 | |
| 8 | 266 | |
| 9 | 146 | |
| 10 | 126 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 165 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 24 | |
| 17 | 52 | |
| 18 | 224 | |
| 19 | CTR1, a negative regulator of the ethylene response pathway in arabidopsis, encodes a member of the Raf family of protein kinasesbreakdown → | 1520 |
| 20 | The protein encoded by the Arabidopsis homeotic gene agamous resembles transcription factorsbreakdown → | 1251 |
About Kenneth A. Feldmann
Kenneth A. Feldmann is a scholar working on Plant Science, Molecular Biology and Biochemistry, having authored 91 papers that have together received 15.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (42 papers), Plant Reproductive Biology (33 papers) and Plant tissue culture and regeneration (19 papers). The work is most often cited by research in Plant Science (13.5k citations), Molecular Biology (10.9k citations) and Biochemistry (976 citations). Kenneth A. Feldmann has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include M. David Marks, Joseph R. Ecker, Joseph J. Kieber, Gregg Roman, Madge Rothenberg, Suguru Takatsuto, Shozo Fujioka, Sunghwa Choe, Gary N. Drews and John L. Bowman. Their work appears in journals such as Nature, Science and Cell.
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.