Jeffrey A. Gelfand
- Immunology top 0.5%
- Genetics top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Nutrition and Dietetics top 1%
- Co-authors
- Michael M. FrankJohn F. BurkeC A DinarelloSeijiro OkusawaJohn P. AtkinsonRaymond J. ConnollyTakashi IkejimaCharles A. Dinarello
- Topics
- Immune Response and Inflammation (17 papers)Complement system in diseases (16 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers)
- Cited by
- GeneticsImmunologyHematology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jeffrey A. Gelfand
104 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Immunology 2.5k
- Genetics 1.5k
- Epidemiology 1.2k
- Molecular Biology 1.2k
- Nutrition and Dietetics 810
Countries citing papers authored by Jeffrey A. Gelfand
This map shows the geographic impact of Jeffrey A. Gelfand'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 A. Gelfand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Gelfand more than expected).
Fields of papers citing papers by Jeffrey A. Gelfand
This network shows the impact of papers produced by Jeffrey A. Gelfand. 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 A. Gelfand. The network helps show where Jeffrey A. Gelfand may publish in the future.
Co-authorship network of co-authors of Jeffrey A. Gelfand
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Gelfand. A scholar is included among the top collaborators of Jeffrey A. Gelfand 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 A. Gelfand. Jeffrey A. Gelfand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 29 | |
| 5 | 22 | |
| 6 | 30 | |
| 7 | 113 | |
| 8 | 7 | |
| 9 | 35 | |
| 10 | 18 | |
| 11 | 58 | |
| 12 | 10 | |
| 13 | 61 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 207 | |
| 18 | 26 | |
| 19 | Circulating Interleukin-1 and Tumor Necrosis Factor in Septic Shock and Experimental Endotoxin Feverbreakdown → | 623 |
| 20 | Interleukin 1 induces a shock-like state in rabbits. Synergism with tumor necrosis factor and the effect of cyclooxygenase inhibition.breakdown → | 781 |
About Jeffrey A. Gelfand
Jeffrey A. Gelfand is a scholar working on Immunology, Hematology and Genetics, having authored 105 papers that have together received 6.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (17 papers), Complement system in diseases (16 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers). The work is most often cited by research in Genetics (1.5k citations), Immunology (2.5k citations) and Hematology (799 citations). Jeffrey A. Gelfand has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael M. Frank, John F. Burke, C A Dinarello, Seijiro Okusawa, John P. Atkinson, Raymond J. Connolly, Takashi Ikejima, Charles A. Dinarello, Richard J. Sherins and David W. Alling. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Clinical Investigation.
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.