James C. Niederman
- Oncology top 1%
- Infectious Diseases top 1%
- Epidemiology top 2%
- Pathology and Forensic Medicine top 2%
- Immunology top 10%
- Co-authors
- Alfred S. EvansGeorge MillerR. W. McCollumRobert W. McCollumL SubrahmanyanWerner HenleStanislav V. KaslJames E. Robinson
- Topics
- Viral-associated cancers and disorders (30 papers)Parvovirus B19 Infection Studies (22 papers)Cytomegalovirus and herpesvirus research (10 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
James C. Niederman
45 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 91
- Oncology 1.9k
- Infectious Diseases 1.4k
- Epidemiology 1.2k
- Pathology and Forensic Medicine 577
- Immunology 418
Countries citing papers authored by James C. Niederman
This map shows the geographic impact of James C. Niederman'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 James C. Niederman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James C. Niederman more than expected).
Fields of papers citing papers by James C. Niederman
This network shows the impact of papers produced by James C. Niederman. 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 James C. Niederman. The network helps show where James C. Niederman may publish in the future.
Co-authorship network of co-authors of James C. Niederman
This figure shows the co-authorship network connecting the top 25 collaborators of James C. Niederman. A scholar is included among the top collaborators of James C. Niederman 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 James C. Niederman. James C. Niederman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 100 | |
| 3 | 63 | |
| 4 | 4 | |
| 5 | Failure to demonstrate concomitant antibody changes to viral antigens other than Epstein-Barr virus (EBV) during or after infectious mononucleosis. | 1 |
| 6 | 52 | |
| 7 | 26 | |
| 8 | 23 | |
| 9 | 127 | |
| 10 | 11 | |
| 11 | Infectious mononucleosis at the United States Military Academy. A prospective study of a single class over four years. | 91 |
| 12 | 37 | |
| 13 | 13 | |
| 14 | 211 | |
| 15 | 9 | |
| 16 | 61 | |
| 17 | 298 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 20 |
About James C. Niederman
James C. Niederman is a scholar working on Infectious Diseases, Oncology and Epidemiology, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (30 papers), Parvovirus B19 Infection Studies (22 papers) and Cytomegalovirus and herpesvirus research (10 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Oncology (1.9k citations) and Epidemiology (1.2k citations). James C. Niederman has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Alfred S. Evans, George Miller, R. W. McCollum, Robert W. McCollum, L Subrahmanyan, Werner Henle, Stanislav V. Kasl, James E. Robinson, Gertrude Henle and Robert N. Sawyer. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.