Joel S. Freundlich
- Molecular Biology top 5%
- Infectious Diseases top 1%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 2%
- Epidemiology top 5%
- Co-authors
- Sean EkinsJames C. SacchettiniRichard R. SchrockEric J. RubinRobert C. ReynoldsWilliam R. JacobsAntony WilliamsWilliam M. Davis
- Topics
- Tuberculosis Research and Epidemiology (43 papers)Computational Drug Discovery Methods (28 papers)Mycobacterium research and diagnosis (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Joel S. Freundlich
87 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.6k
- Infectious Diseases 1.3k
- Computational Theory and Mathematics 899
- Organic Chemistry 848
- Epidemiology 633
Countries citing papers authored by Joel S. Freundlich
This map shows the geographic impact of Joel S. Freundlich'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 Joel S. Freundlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel S. Freundlich more than expected).
Fields of papers citing papers by Joel S. Freundlich
This network shows the impact of papers produced by Joel S. Freundlich. 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 Joel S. Freundlich. The network helps show where Joel S. Freundlich may publish in the future.
Co-authorship network of co-authors of Joel S. Freundlich
This figure shows the co-authorship network connecting the top 25 collaborators of Joel S. Freundlich. A scholar is included among the top collaborators of Joel S. Freundlich 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 Joel S. Freundlich. Joel S. Freundlich 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 | 8 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 31 | |
| 12 | 7 | |
| 13 | 135 | |
| 14 | 111 | |
| 15 | 30 | |
| 16 | 28 | |
| 17 | 58 | |
| 18 | 45 | |
| 19 | 21 | |
| 20 | 47 |
About Joel S. Freundlich
Joel S. Freundlich is a scholar working on Infectious Diseases, Molecular Medicine and Computational Theory and Mathematics, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (43 papers), Computational Drug Discovery Methods (28 papers) and Mycobacterium research and diagnosis (16 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Molecular Medicine (299 citations) and Computational Theory and Mathematics (899 citations). Joel S. Freundlich has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sean Ekins, James C. Sacchettini, Richard R. Schrock, Eric J. Rubin, Robert C. Reynolds, William R. Jacobs, Antony Williams, William M. Davis, Alexander L. Perryman and Matthew D. Krasowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.