D B Rifkin
- Molecular Biology top 5%
- Cancer Research top 2%
- Cell Biology top 2%
- Immunology and Allergy top 1%
- Oncology top 5%
- Co-authors
- David MoscatelliPhillip A. DennisMarco PrestaPaolo MignattiMayumi AbéDavid J. LoskutoffJohn G. HarpelIrene Nunes
- Topics
- Protease and Inhibitor Mechanisms (10 papers)Fibroblast Growth Factor Research (8 papers)Proteoglycans and glycosaminoglycans research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Cell Biology
- Partner nations
- United StatesItalyCanada
In The Last Decade
D B Rifkin
25 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.2k
- Cancer Research 1.0k
- Cell Biology 658
- Immunology and Allergy 585
- Oncology 551
Countries citing papers authored by D B Rifkin
This map shows the geographic impact of D 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 D 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 D B Rifkin more than expected).
Fields of papers citing papers by D B Rifkin
This network shows the impact of papers produced by D 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 D B Rifkin. The network helps show where D B Rifkin may publish in the future.
Co-authorship network of co-authors of D B Rifkin
This figure shows the co-authorship network connecting the top 25 collaborators of D B Rifkin. A scholar is included among the top collaborators of D 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 D B Rifkin. D 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 | 0 | |
| 2 | 59 | |
| 3 | 276 | |
| 4 | An Assay for Transforming Growth Factor-β Using Cells Transfected with a Plasminogen Activator Inhibitor-1 Promoter-Luciferase Constructbreakdown → | 677 |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 435 | |
| 8 | 202 | |
| 9 | 94 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | Monospecific antibodies implicate basic fibroblast growth factor in normal wound repair. | 161 |
| 13 | 23 | |
| 14 | 238 | |
| 15 | 216 | |
| 16 | 63 | |
| 17 | 75 | |
| 18 | 239 | |
| 19 | 65 | |
| 20 | 39 |
About D B Rifkin
D B Rifkin is a scholar working on Cancer Research, Hematology and Immunology and Allergy, having authored 26 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (10 papers), Fibroblast Growth Factor Research (8 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Immunology and Allergy (585 citations), Cancer Research (1.0k citations) and Hematology (474 citations). D B Rifkin has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include David Moscatelli, Phillip A. Dennis, Marco Presta, Paolo Mignatti, Mayumi Abé, David J. Loskutoff, John G. Harpel, Irene Nunes, Christine N. Metz and Jacquelyn Joseph‐Silverstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Cell Biology.
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.