William M. Reiter

402 citations
8 papers · 153 · h-index 5

Impact in

Papers in

William M. Reiter

7 papers receiving 142 citations

Peers

William M. Reiter
Comparison fields: 5 of 54
  • Virology 43
  • Psychiatry and Mental health 29
  • Infectious Diseases 26
  • Rheumatology 19
  • Immunology 22
Replace Syim Salahuddin with:
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Shintaro Oka Japan
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Citations per field
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Citations per year

Countries citing papers authored by William M. Reiter

Since Specialization
Citations

This map shows the geographic impact of William M. Reiter'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 William M. Reiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Reiter more than expected).

Fields of papers citing papers by William M. Reiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Reiter. 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 William M. Reiter. The network helps show where William M. Reiter may publish in the future.

Co-authors

The 21 scholars most cited alongside William M. Reiter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William M. Reiter Line = papers co-authored together William M. Reiter links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 199654
2
Intracellular adriamycin levels and cytotoxicity in adriamycin-sensitive and adriamycin-resistant P388 mouse leukemia cells.
198238
3 199432
4 198420
5
Long-term therapy with the new glucocorticosteroid deflazacort in rheumatoid arthritis. Double-blind controlled randomized 12-months study against prednisone.
19945
6
[Flurbiprofen and indomethacin in chronic polyarthritis and gonarthrosis - a comparative multicentric double-blind cross-over study].
19812
7
[Long-term toxicity of benorylate].
19752
8
Correlation of DR4 and DQ1 with Immunologic Defects in CFS
19920

About William M. Reiter

William M. Reiter is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Immunology, Pharmacology and General Health Professions, having authored 8 papers that have together received 153 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related Molecular Pathways (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Advanced Breast Cancer Therapies (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper), HIV Research and Treatment (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Virology (43 citations), Psychiatry and Mental health (29 citations), Infectious Diseases (26 citations), Rheumatology (19 citations) and Immunology (22 citations). William M. Reiter has collaborated with scholars based in United States. Frequent co-authors include Awtar Krishan, Ram Ganapathi, Mario J. Saldana, Robert H. Keller, M A Fletcher, Robert O. Morgan, Marcus A. Conant, Marlene Chernow, Ramón A. Torres and Ronald T. Mitsuyasu. Their work appears in journals such as Clinical Infectious Diseases, The American Journal of Medicine, The Lancet, PubMed and NSUWorks (Nova Southeastern University).

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.

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