Daniel B. Rifkin
- Molecular Biology top 0.1%
- Cancer Research top 0.05%
- Cell Biology top 0.05%
- Genetics top 0.1%
- Immunology and Allergy top 0.05%
- Co-authors
- David MoscatelliOlli SakselaJohn S. MungerYasufumi SatoPaolo MignattiJustin P. AnnesE. RobbinsRobert Flaumenhaft
- Topics
- TGF-β signaling in diseases (73 papers)Protease and Inhibitor Mechanisms (54 papers)Connective tissue disorders research (48 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Daniel B. Rifkin
228 papers receiving 31.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 17.5k
- Cancer Research 6.7k
- Cell Biology 5.5k
- Genetics 5.4k
- Immunology and Allergy 4.4k
Countries citing papers authored by Daniel B. Rifkin
This map shows the geographic impact of Daniel B. Rifkin'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 Daniel B. Rifkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Rifkin more than expected).
Fields of papers citing papers by Daniel B. Rifkin
This network shows the impact of papers produced by Daniel B. Rifkin. 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 Daniel B. Rifkin. The network helps show where Daniel B. Rifkin may publish in the future.
Co-authorship network of co-authors of Daniel B. Rifkin
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Rifkin. A scholar is included among the top collaborators of Daniel B. Rifkin 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 Daniel B. Rifkin. Daniel B. Rifkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 21 | |
| 3 | Mechanisms of tendon injury and repairbreakdown → | 386 |
| 4 | 36 | |
| 5 | 12 | |
| 6 | 109 | |
| 7 | 16 | |
| 8 | 108 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | 18 | |
| 12 | A Mechanism for Regulating Pulmonary Inflammation and Fibrosis: The Integrin αvβ6 Binds and Activates Latent TGF β1breakdown → | 1641 |
| 13 | 118 | |
| 14 | 95 | |
| 15 | 66 | |
| 16 | 128 | |
| 17 | 208 | |
| 18 | Endothelial cell-derived heparan sulfate binds basic fibroblast growth factor and protects it from proteolytic degradation.breakdown → | 695 |
| 19 | Angiogenesis : mechanisms and pathobiology | 25 |
| 20 | Proteases and biological control | 305 |
About Daniel B. Rifkin
Daniel B. Rifkin is a scholar working on Immunology and Allergy, Cancer Research and Hematology, having authored 230 papers that have together received 32.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (73 papers), Protease and Inhibitor Mechanisms (54 papers) and Connective tissue disorders research (48 papers). The work is most often cited by research in Immunology and Allergy (4.4k citations), Cancer Research (6.7k citations) and Cell Biology (5.5k citations). Daniel B. Rifkin has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include David Moscatelli, Olli Saksela, John S. Munger, Yasufumi Sato, Paolo Mignatti, Justin P. Annes, E. Robbins, Robert Flaumenhaft, Andreas Sommer and Giuseppe Pintucci. Their work appears in journals such as Science, Cell 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.