Tom Colby
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Plant Pathogenic Bacteria Studies
- Legume Nitrogen Fixing Symbiosis
- Plant Parasitism and Resistance
- Plant Stress Responses and Tolerance
- Plant Virus Research Studies
- Biotechnology top 10%
Papers in
-
- Ubiquitin and proteasome pathways 2
- Biochemical and Structural Characterization 2
- RNA and protein synthesis mechanisms 2
-
- Plant-Microbe Interactions and Immunity 4
- Plant Pathogenic Bacteria Studies 3
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- Renier A. L. van der Hoorn (12 shared papers)Farnusch Kaschani (9 shared papers)Christian Gu (4 shared papers)Markus Kaiser (8 shared papers)Takayuki Shindo (4 shared papers)Twinkal C. Pansuriya (2 shared papers)Mohammed Shabab (3 shared papers)Kerstin H. Richau (3 shared papers)
- Journals
- The Plant Journal (1 paper)Molecular & Cellular Proteomics (1 paper)Bioorganic & Medicinal Chemistry (1 paper)PROTEOMICS (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Tom Colby
14 papers receiving 941 citations
Peers
Comparison fields: 5 of 73
- Plant Science 531
- Biotechnology 90
- Horticulture 7
- Molecular Biology 472
- Cell Biology 91
Countries citing papers authored by Tom Colby
This map shows the geographic impact of Tom Colby'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 Tom Colby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Colby more than expected).
Fields of papers citing papers by Tom Colby
This network shows the impact of papers produced by Tom Colby. 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 Tom Colby. The network helps show where Tom Colby may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Colby, 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 | 2008 | 221 | |
| 2 | 2012 | 165 | |
| 3 | 2018 | 105 | |
| 4 | 2013 | 84 | |
| 5 | 2008 | 72 | |
| 6 | 2012 | 68 | |
| 7 | 2009 | 60 | |
| 8 | 2016 | 42 | |
| 9 | 2013 | 34 | |
| 10 | 2008 | 32 | |
| 11 | 2014 | 23 | |
| 12 | 2011 | 22 | |
| 13 | 2012 | 17 | |
| 14 | 2012 | 2 |
About Tom Colby
Tom Colby is a scholar working on Molecular Biology, Plant Science, Cell Biology, Organic Chemistry and Epidemiology, having authored 14 papers that have together received 947 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Click Chemistry and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Biotin and Related Studies (2 papers), Biochemical and Structural Characterization (2 papers), RNA and protein synthesis mechanisms (2 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). The work is most often cited by research in Plant Science (531 citations), Biotechnology (90 citations), Horticulture (7 citations), Molecular Biology (472 citations) and Cell Biology (91 citations). Tom Colby has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Renier A. L. van der Hoorn, Farnusch Kaschani, Christian Gu, Markus Kaiser, Takayuki Shindo, Twinkal C. Pansuriya, Mohammed Shabab, Kerstin H. Richau, Herman S. Overkleeft and Anne Harzen. Their work appears in journals such as The Plant Journal, Molecular & Cellular Proteomics, Bioorganic & Medicinal Chemistry, PROTEOMICS and Nature Chemical 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.