Babette B. Weksler
- Molecular Biology top 1%
- Hematology top 0.2%
- Pharmacology top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 1%
- Co-authors
- Ignacio A. RomeroEric JaffePierre‐Olivier CouraudRalph L. NachmanK Tack-GoldmanAndrew J. DannenbergKotha SubbaramaiahSilvia Stella Barbieri
- Topics
- Inflammatory mediators and NSAID effects (33 papers)Platelet Disorders and Treatments (26 papers)Antiplatelet Therapy and Cardiovascular Diseases (21 papers)
- Cited by
- NeurologyHematologyInternal Medicine
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Babette B. Weksler
213 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 4.4k
- Hematology 2.1k
- Pharmacology 2.1k
- Cardiology and Cardiovascular Medicine 2.0k
- Physiology 2.0k
Countries citing papers authored by Babette B. Weksler
This map shows the geographic impact of Babette B. Weksler'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 Babette B. Weksler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Babette B. Weksler more than expected).
Fields of papers citing papers by Babette B. Weksler
This network shows the impact of papers produced by Babette B. Weksler. 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 Babette B. Weksler. The network helps show where Babette B. Weksler may publish in the future.
Co-authorship network of co-authors of Babette B. Weksler
This figure shows the co-authorship network connecting the top 25 collaborators of Babette B. Weksler. A scholar is included among the top collaborators of Babette B. Weksler 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 Babette B. Weksler. Babette B. Weksler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 44 | |
| 3 | 26 | |
| 4 | The hCMEC/D3 cell line as a model of the human blood brain barrierbreakdown → | 563 |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 58 | |
| 8 | 20 | |
| 9 | 77 | |
| 10 | 168 | |
| 11 | 140 | |
| 12 | 29 | |
| 13 | 248 | |
| 14 | 76 | |
| 15 | 39 | |
| 16 | 240 | |
| 17 | Effect of hematocrit on platelet adhesion under arterial flow conditions | 1 |
| 18 | 70 | |
| 19 | 137 | |
| 20 | 43 |
About Babette B. Weksler
Babette B. Weksler is a scholar working on Hematology, Neurology and Internal Medicine, having authored 214 papers that have together received 15.5k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (33 papers), Platelet Disorders and Treatments (26 papers) and Antiplatelet Therapy and Cardiovascular Diseases (21 papers). The work is most often cited by research in Neurology (2.0k citations), Hematology (2.1k citations) and Internal Medicine (609 citations). Babette B. Weksler has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ignacio A. Romero, Eric Jaffe, Pierre‐Olivier Couraud, Ralph L. Nachman, K Tack-Goldman, Andrew J. Dannenberg, Kotha Subbaramaiah, Silvia Stella Barbieri, D P Hajjar and M. Johan Broekman. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.