Janet M. Leeds
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Internal Medicine top 0.5%
- Epidemiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- John T. CurnuttePamela B. ConleyGenmin LuMark CrowtherStuart J. ConnollyJanice CastilloArthur A. LevinVandana Mathur
- Topics
- DNA and Nucleic Acid Chemistry (14 papers)Chronic Lymphocytic Leukemia Research (13 papers)Atrial Fibrillation Management and Outcomes (13 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Janet M. Leeds
68 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.3k
- Cardiology and Cardiovascular Medicine 949
- Internal Medicine 700
- Epidemiology 382
- Cellular and Molecular Neuroscience 294
Countries citing papers authored by Janet M. Leeds
This map shows the geographic impact of Janet M. Leeds'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 Janet M. Leeds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet M. Leeds more than expected).
Fields of papers citing papers by Janet M. Leeds
This network shows the impact of papers produced by Janet M. Leeds. 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 Janet M. Leeds. The network helps show where Janet M. Leeds may publish in the future.
Co-authorship network of co-authors of Janet M. Leeds
This figure shows the co-authorship network connecting the top 25 collaborators of Janet M. Leeds. A scholar is included among the top collaborators of Janet M. Leeds 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 Janet M. Leeds. Janet M. Leeds 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 | 12 | |
| 3 | 29 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | Andexanet Alfa for the Reversal of Factor Xa Inhibitor Activitybreakdown → | 732 |
| 9 | 9 | |
| 10 | 82 | |
| 11 | 19 | |
| 12 | 52 | |
| 13 | 15 | |
| 14 | 35 | |
| 15 | 121 | |
| 16 | 35 | |
| 17 | 58 | |
| 18 | 4 | |
| 19 | 49 | |
| 20 | 28 |
About Janet M. Leeds
Janet M. Leeds is a scholar working on Internal Medicine, Virology and Genetics, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (14 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Atrial Fibrillation Management and Outcomes (13 papers). The work is most often cited by research in Internal Medicine (700 citations), Virology (245 citations) and Cardiology and Cardiovascular Medicine (949 citations). Janet M. Leeds has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John T. Curnutte, Pamela B. Conley, Genmin Lu, Mark Crowther, Stuart J. Connolly, Janice Castillo, Arthur A. Levin, Vandana Mathur, Deborah Siegal and Alex Gold. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.