Dean Follmann
- Immunology
- Infectious Diseases top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Virology top 5%
- Co-authors
- David H. McDermottPhilip M. MurphySusan F. LeitmanJean K. LimDavid E. KrysztofSusan L. StramerAndrea LiscoGregory A. Foster
- Topics
- Statistical Methods in Clinical Trials (6 papers)HIV Research and Treatment (4 papers)Advanced Causal Inference Techniques (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of the American Statistical Association
- Partner nations
- United StatesMalaysiaCzechia
In The Last Decade
Dean Follmann
26 papers receiving 693 citations
Peers
Comparison fields: 5 of 99
- Immunology 214
- Infectious Diseases 201
- Molecular Biology 153
- Public Health, Environmental and Occupational Health 146
- Virology 139
Countries citing papers authored by Dean Follmann
This map shows the geographic impact of Dean Follmann'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 Dean Follmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Follmann more than expected).
Fields of papers citing papers by Dean Follmann
This network shows the impact of papers produced by Dean Follmann. 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 Dean Follmann. The network helps show where Dean Follmann may publish in the future.
Co-authorship network of co-authors of Dean Follmann
This figure shows the co-authorship network connecting the top 25 collaborators of Dean Follmann. A scholar is included among the top collaborators of Dean Follmann 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 Dean Follmann. Dean Follmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 22 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 50 | |
| 9 | 164 | |
| 10 | 102 | |
| 11 | 64 | |
| 12 | 32 | |
| 13 | 7 | |
| 14 | Statistics in clinical practice, 2nd ed | 1 |
| 15 | 78 | |
| 16 | 23 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 31 | |
| 20 | 20 |
About Dean Follmann
Dean Follmann is a scholar working on Statistics and Probability, Virology and Infectious Diseases, having authored 28 papers that have together received 713 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), HIV Research and Treatment (4 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Virology (139 citations), Statistics and Probability (90 citations) and Infectious Diseases (201 citations). Dean Follmann has collaborated with scholars based in United States, Malaysia and Czechia. Frequent co-authors include David H. McDermott, Philip M. Murphy, Susan F. Leitman, Jean K. Lim, David E. Krysztof, Susan L. Stramer, Andrea Lisco, Gregory A. Foster, Thomas H. Shawker and David Stroncek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of the American Statistical Association.
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.