Jeffrey D. Greenberg
- Rheumatology top 0.1%
- Immunology top 1%
- Hematology top 0.5%
- Genetics top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Joel M. KremerGeorge ReedJeffrey R. CurtisDaniel H. SolomonLeslie R. HarroldMarc C. HochbergMichael E. FarkouhPeter Tsao
- Topics
- Rheumatoid Arthritis Research and Therapies (108 papers)Systemic Lupus Erythematosus Research (49 papers)Chronic Lymphocytic Leukemia Research (30 papers)
- Cited by
- RheumatologyHematologyImmunology
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Jeffrey D. Greenberg
142 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 127
- Rheumatology 4.0k
- Immunology 1.5k
- Hematology 1.3k
- Genetics 587
- Pathology and Forensic Medicine 529
Countries citing papers authored by Jeffrey D. Greenberg
This map shows the geographic impact of Jeffrey D. Greenberg'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 D. Greenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Greenberg more than expected).
Fields of papers citing papers by Jeffrey D. Greenberg
This network shows the impact of papers produced by Jeffrey D. Greenberg. 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 D. Greenberg. The network helps show where Jeffrey D. Greenberg may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Greenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Greenberg. A scholar is included among the top collaborators of Jeffrey D. Greenberg 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 D. Greenberg. Jeffrey D. Greenberg 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 | 21 | |
| 3 | 105 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 39 | |
| 8 | 19 | |
| 9 | 48 | |
| 10 | 26 | |
| 11 | 51 | |
| 12 | 51 | |
| 13 | 16 | |
| 14 | 128 | |
| 15 | 5 | |
| 16 | 42 | |
| 17 | 71 | |
| 18 | 230 | |
| 19 | 7 | |
| 20 | Dual-system utilization affects regional variation in prevention quality indicators: the case of amputations among veterans with diabetes. | 21 |
About Jeffrey D. Greenberg
Jeffrey D. Greenberg is a scholar working on Rheumatology, Genetics and Hematology, having authored 144 papers that have together received 5.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (108 papers), Systemic Lupus Erythematosus Research (49 papers) and Chronic Lymphocytic Leukemia Research (30 papers). The work is most often cited by research in Rheumatology (4.0k citations), Hematology (1.3k citations) and Immunology (1.5k citations). Jeffrey D. Greenberg has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Joel M. Kremer, George Reed, Jeffrey R. Curtis, Daniel H. Solomon, Leslie R. Harrold, Marc C. Hochberg, Michael E. Farkouh, Peter Tsao, Philip J. Mease and Vibeke Strand. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and CHEST Journal.
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.