Richard J. Rickles
- Molecular Biology top 2%
- Cancer Research top 5%
- Genetics top 5%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Sidney StricklandGuang HuGregory J. HannonStephen J. ElledgeAndrew L. DarrowMartyn C. BotfieldJoan S. BruggeFrank Stegmeier
- Topics
- Protease and Inhibitor Mechanisms (8 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)Peptidase Inhibition and Analysis (7 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Richard J. Rickles
44 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 3.3k
- Cancer Research 559
- Genetics 520
- Oncology 452
- Immunology 398
Countries citing papers authored by Richard J. Rickles
This map shows the geographic impact of Richard J. Rickles'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 Richard J. Rickles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Rickles more than expected).
Fields of papers citing papers by Richard J. Rickles
This network shows the impact of papers produced by Richard J. Rickles. 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 Richard J. Rickles. The network helps show where Richard J. Rickles may publish in the future.
Co-authorship network of co-authors of Richard J. Rickles
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Rickles. A scholar is included among the top collaborators of Richard J. Rickles 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 Richard J. Rickles. Richard J. Rickles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Identification of Combinatorial Drugs that Synergistically Kill both Eribulin-Sensitive and Eribulin- Insensitive Tumor Cells | 1 |
| 2 | 13 | |
| 3 | Synergistic drug combinations tend to improve therapeutically relevant selectivitybreakdown → | 742 |
| 4 | 437 | |
| 5 | 491 | |
| 6 | 47 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 144 | |
| 10 | 155 | |
| 11 | 111 | |
| 12 | 50 | |
| 13 | 216 | |
| 14 | 44 | |
| 15 | 5 | |
| 16 | 34 | |
| 17 | 41 | |
| 18 | 10 | |
| 19 | 20 | |
| 20 | 81 |
About Richard J. Rickles
Richard J. Rickles is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 44 papers that have together received 4.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Immunology and Allergy (244 citations) and Cancer Research (559 citations). Richard J. Rickles has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Sidney Strickland, Guang Hu, Gregory J. Hannon, Stephen J. Elledge, Andrew L. Darrow, Martyn C. Botfield, Joan S. Brugge, Frank Stegmeier, Stuart L. Schreiber and Alexis A. Borisy. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.