Carleen Klumpp‐Thomas
- Molecular Biology
- Infectious Diseases top 5%
- Computational Theory and Mathematics top 2%
- Organic Chemistry
- Oncology
- Topics
- Computational Drug Discovery Methods (11 papers)SARS-CoV-2 and COVID-19 Research (6 papers)Protein Degradation and Inhibitors (5 papers)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Carleen Klumpp‐Thomas
34 papers receiving 849 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 322
- Infectious Diseases 298
- Computational Theory and Mathematics 262
- Organic Chemistry 76
- Oncology 75
Countries citing papers authored by Carleen Klumpp‐Thomas
This map shows the geographic impact of Carleen Klumpp‐Thomas'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 Carleen Klumpp‐Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carleen Klumpp‐Thomas more than expected).
Fields of papers citing papers by Carleen Klumpp‐Thomas
This network shows the impact of papers produced by Carleen Klumpp‐Thomas. 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 Carleen Klumpp‐Thomas. The network helps show where Carleen Klumpp‐Thomas may publish in the future.
Co-authorship network of co-authors of Carleen Klumpp‐Thomas
This figure shows the co-authorship network connecting the top 25 collaborators of Carleen Klumpp‐Thomas. A scholar is included among the top collaborators of Carleen Klumpp‐Thomas 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 Carleen Klumpp‐Thomas. Carleen Klumpp‐Thomas 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 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 20 | |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 107 | |
| 11 | 5 | |
| 12 | 35 | |
| 13 | 17 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 152 | |
| 17 | 22 | |
| 18 | 12 | |
| 19 | 63 | |
| 20 | 9 |
About Carleen Klumpp‐Thomas
Carleen Klumpp‐Thomas is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Biophysics, having authored 37 papers that have together received 855 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Protein Degradation and Inhibitors (5 papers). The work is most often cited by research in Computational Theory and Mathematics (262 citations), Infectious Diseases (298 citations) and Biophysics (30 citations). Carleen Klumpp‐Thomas has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Sam Michael, Paul Shinn, Min Shen, Wei Zheng, Hui Guo, Catherine Z. Chen, Matthew D. Hall, Miao Xu, Ruili Huang and Wei Zhu. Their work appears in journals such as Nature Communications, Cancer Research and Scientific Reports.
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.