Joseph D. Feldman
- Immunology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Nephrology top 2%
- Surgery
- Co-authors
- Frank J. DixonJacinto J. VazquezJohn S. NajarianStanley M. KurtzBruce C. VeitSun LeeNorman K. OridaHans‐Hartmut Peter
- Topics
- RNA Interference and Gene Delivery (16 papers)Immunotherapy and Immune Responses (16 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)
- Cited by
- ImmunologyNephrologyTransplantation
- Partner nations
- United States
In The Last Decade
Joseph D. Feldman
91 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 1.2k
- Molecular Biology 602
- Radiology, Nuclear Medicine and Imaging 346
- Nephrology 333
- Surgery 260
Countries citing papers authored by Joseph D. Feldman
This map shows the geographic impact of Joseph D. Feldman'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 Joseph D. Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph D. Feldman more than expected).
Fields of papers citing papers by Joseph D. Feldman
This network shows the impact of papers produced by Joseph D. Feldman. 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 Joseph D. Feldman. The network helps show where Joseph D. Feldman may publish in the future.
Co-authorship network of co-authors of Joseph D. Feldman
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph D. Feldman. A scholar is included among the top collaborators of Joseph D. Feldman 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 Joseph D. Feldman. Joseph D. Feldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Altered lymphocyte functions in rats bearing syngeneic Moloney sarcoma tumors. I. Mitogen responses, mixed lymphocyte reactions (MLR) and mixed lymphocyte-tumor reactions (MLTR). | 27 |
| 2 | 38 | |
| 3 | Rabbit Antiserum to Brain-Associated Thymus Antigens of Mouse and Rat I. Demonstration of Antibodies Cross-Reacting to T Cells of Both Species | 38 |
| 4 | Rabbit Antiserum to Brain-Associated Thymus Antigens of Mouse and Rat II. Analysis of Species-Specific and Cross-Reacting Antibodies | 30 |
| 5 | 29 | |
| 6 | 22 | |
| 7 | 80 | |
| 8 | 38 | |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 20 | |
| 12 | 47 | |
| 13 | 56 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 140 | |
| 17 | 53 | |
| 18 | 61 | |
| 19 | 59 | |
| 20 | 32 |
About Joseph D. Feldman
Joseph D. Feldman is a scholar working on Immunology, Transplantation and Immunology and Allergy, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (16 papers), Immunotherapy and Immune Responses (16 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). The work is most often cited by research in Immunology (1.2k citations), Nephrology (333 citations) and Transplantation (126 citations). Joseph D. Feldman has collaborated with scholars based in United States. Frequent co-authors include Frank J. Dixon, Jacinto J. Vazquez, John S. Najarian, Stanley M. Kurtz, Bruce C. Veit, Sun Lee, Norman K. Orida, Hans‐Hartmut Peter, Emil R. Unanue and David G. Tubergen. Their work appears in journals such as Science, The Journal of Experimental Medicine 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.