Richard S. Thoma
- Molecular Biology top 2%
- Oncology top 2%
- Cell Biology top 1%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Helen Piwnica‐WormsZhiqi WuPaul R. GravesAndréy S. ShawCheng‐Yuan PengYolanda SánchezRon RichmanStephen J. Elledge
- Topics
- Monoclonal and Polyclonal Antibodies Research (4 papers)Chemical Synthesis and Analysis (3 papers)Advanced Proteomics Techniques and Applications (3 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Richard S. Thoma
21 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.6k
- Oncology 1.1k
- Cell Biology 1.0k
- Immunology 357
- Cancer Research 242
Countries citing papers authored by Richard S. Thoma
This map shows the geographic impact of Richard S. Thoma'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 S. Thoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard S. Thoma more than expected).
Fields of papers citing papers by Richard S. Thoma
This network shows the impact of papers produced by Richard S. Thoma. 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 S. Thoma. The network helps show where Richard S. Thoma may publish in the future.
Co-authorship network of co-authors of Richard S. Thoma
This figure shows the co-authorship network connecting the top 25 collaborators of Richard S. Thoma. A scholar is included among the top collaborators of Richard S. Thoma 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 S. Thoma. Richard S. Thoma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | ABRF ESRG 2006 study: Edman sequencing as a method for polypeptide quantitation. | 8 |
| 4 | 10 | |
| 5 | 55 | |
| 6 | C-TAK1 protein kinase phosphorylates human Cdc25C on serine 216 and promotes 14-3-3 protein binding. | 190 |
| 7 | Conservation of the Chk1 Checkpoint Pathway in Mammals: Linkage of DNA Damage to Cdk Regulation Through Cdc25breakdown → | 1061 |
| 8 | Mitotic and G 2 Checkpoint Control: Regulation of 14-3-3 Protein Binding by Phosphorylation of Cdc25C on Serine-216breakdown → | 1122 |
| 9 | 16 | |
| 10 | 27 | |
| 11 | 314 | |
| 12 | 50 | |
| 13 | 26 | |
| 14 | 3 | |
| 15 | 71 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 59 | |
| 19 | 33 | |
| 20 | 49 |
About Richard S. Thoma
Richard S. Thoma is a scholar working on Immunology and Allergy, Microbiology and Molecular Biology, having authored 21 papers that have together received 3.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Chemical Synthesis and Analysis (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Cell Biology (1.0k citations), Oncology (1.1k citations) and Molecular Biology (2.6k citations). Richard S. Thoma has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Helen Piwnica‐Worms, Zhiqi Wu, Paul R. Graves, Andréy S. Shaw, Cheng‐Yuan Peng, Yolanda Sánchez, Ron Richman, Stephen J. Elledge, Calvin Wong and Dan L. Crimmins. Their work appears in journals such as Science, Journal of Biological Chemistry and The EMBO Journal.
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.