Jeffrey M. Beekman
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 2%
- Biomedical Engineering top 5%
- Genetics top 2%
- Co-authors
- Cornelis K. van der EntJohanna F. DekkersHans CleversEdward E. S. NieuwenhuisPaul J. CofferAnnelotte M. VonkHettie M. JanssensKarin M. de Winter‐de Groot
- Topics
- Cystic Fibrosis Research Advances (71 papers)Neonatal Respiratory Health Research (49 papers)Inhalation and Respiratory Drug Delivery (20 papers)
- Partner nations
- NetherlandsUnited StatesPortugal
In The Last Decade
Jeffrey M. Beekman
113 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.6k
- Pulmonary and Respiratory Medicine 2.2k
- Oncology 1.0k
- Biomedical Engineering 930
- Genetics 761
Countries citing papers authored by Jeffrey M. Beekman
This map shows the geographic impact of Jeffrey M. Beekman'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 Jeffrey M. Beekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Beekman more than expected).
Fields of papers citing papers by Jeffrey M. Beekman
This network shows the impact of papers produced by Jeffrey M. Beekman. 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 Jeffrey M. Beekman. The network helps show where Jeffrey M. Beekman may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Beekman
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Beekman. A scholar is included among the top collaborators of Jeffrey M. Beekman 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 Jeffrey M. Beekman. Jeffrey M. Beekman 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 | 5 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 38 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 38 | |
| 12 | 6 | |
| 13 | 33 | |
| 14 | 57 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | 32 | |
| 18 | 13 | |
| 19 | FcγRI(CD64)とペリプラキンの直接相互作用は受容体エンドサイトーシスとリガンド結合能を調節する | 19 |
| 20 | 25 |
About Jeffrey M. Beekman
Jeffrey M. Beekman is a scholar working on Pulmonary and Respiratory Medicine, Aging and Immunology, having authored 114 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (71 papers), Neonatal Respiratory Health Research (49 papers) and Inhalation and Respiratory Drug Delivery (20 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.2k citations), Business and International Management (110 citations) and Aging (93 citations). Jeffrey M. Beekman has collaborated with scholars based in Netherlands, United States and Portugal. Frequent co-authors include Cornelis K. van der Ent, Johanna F. Dekkers, Hans Clevers, Edward E. S. Nieuwenhuis, Paul J. Coffer, Annelotte M. Vonk, Hettie M. Janssens, Karin M. de Winter‐de Groot, Hugo R. de Jonge and Gerald Schwank. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.