Kevin N. Dalby
- Molecular Biology top 2%
- Organic Chemistry top 5%
- Oncology top 5%
- Computational Theory and Mathematics top 1%
- Spectroscopy top 2%
- Co-authors
- Tamer S. KaoudBülent ÖzpolatGabriel Lopez‐Beresteinİbrahim TekedereliPengyu RenWilliam F. WaasF. Barry CaudwellPhilip Cohen
- Topics
- Melanoma and MAPK Pathways (57 papers)Protein Kinase Regulation and GTPase Signaling (44 papers)Computational Drug Discovery Methods (23 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Kevin N. Dalby
157 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 3.3k
- Organic Chemistry 618
- Oncology 527
- Computational Theory and Mathematics 462
- Spectroscopy 419
Countries citing papers authored by Kevin N. Dalby
This map shows the geographic impact of Kevin N. Dalby'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 N. Dalby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin N. Dalby more than expected).
Fields of papers citing papers by Kevin N. Dalby
This network shows the impact of papers produced by Kevin N. Dalby. 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 N. Dalby. The network helps show where Kevin N. Dalby may publish in the future.
Co-authorship network of co-authors of Kevin N. Dalby
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin N. Dalby. A scholar is included among the top collaborators of Kevin N. Dalby 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 Kevin N. Dalby. Kevin N. Dalby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 36 | |
| 12 | 20 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 23 | |
| 16 | 12 | |
| 17 | 23 | |
| 18 | 68 | |
| 19 | 59 | |
| 20 | 230 |
About Kevin N. Dalby
Kevin N. Dalby is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry, having authored 165 papers that have together received 4.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (57 papers), Protein Kinase Regulation and GTPase Signaling (44 papers) and Computational Drug Discovery Methods (23 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Computational Theory and Mathematics (462 citations) and Spectroscopy (419 citations). Kevin N. Dalby has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Tamer S. Kaoud, Bülent Özpolat, Gabriel Lopez‐Berestein, İbrahim Tekedereli, Pengyu Ren, William F. Waas, F. Barry Caudwell, Philip Cohen, Nick Morrice and Joseph Avruch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.