R Bohman

769 citations
19 papers · 655 · h-index 15

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Nephrology top 10%

Papers in

    • Mitochondrial Function and Pathology 2
    • Ion Transport and Channel Regulation 1
    • T-cell and B-cell Immunology 2
    • Reproductive System and Pregnancy 2

R Bohman

19 papers receiving 628 citations

Peers

R Bohman
Comparison fields: 5 of 93
  • Immunology 179
  • Nephrology 46
  • Hepatology 31
  • Clinical Biochemistry 28
  • Molecular Biology 273
Replace M Ohkubo with:
M Ohkubo Japan
Barbara C. Armstrong United States
Carole Berruyer-Pouyet France
T Szabó Hungary
Raúl Tonda Spain
Joseph D. Zeligs United States
Amit K. Maiti United States
Joon Hyeok Kwak United States
Chong Huang China
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Citations per field
00.5×3.1×
M Ohkubo · 1×
Citations per year

Countries citing papers authored by R Bohman

Since Specialization
Citations

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

Fields of papers citing papers by R Bohman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R Bohman. 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 R Bohman. The network helps show where R Bohman may publish in the future.

Co-authors

The 25 scholars most cited alongside R Bohman, 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 R Bohman Line = papers co-authored together R Bohman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 198178
2 198473
3 198870
4
Suppressor cell activity in a randomized trial of patients receiving active specific immunotherapy with melanoma cell vaccine and low dosages of cyclophosphamide.
199070
5 198065
6 198955
7 198535
8 198933
9 198930
10 198722
11 199120
12 199020
13 198720
14 197519
15 198714
16 198612
17 19859
18 19885
19 19825

About R Bohman

R Bohman is a scholar working on Molecular Biology, Immunology, Epidemiology, Physiology and Pathology and Forensic Medicine, having authored 19 papers that have together received 655 indexed citations. Recurring topics across this work include Diet and metabolism studies (2 papers), T-cell and B-cell Immunology (2 papers), Reproductive System and Pregnancy (2 papers), Mitochondrial Function and Pathology (2 papers), Alzheimer's disease research and treatments (1 paper), Cancer Genomics and Diagnostics (1 paper), Renal cell carcinoma treatment (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Immunology (179 citations), Nephrology (46 citations), Hepatology (31 citations), Clinical Biochemistry (28 citations) and Molecular Biology (273 citations). R Bohman has collaborated with scholars based in United States. Frequent co-authors include Thomas W. James, Jill T. Norman, Myron J. Tong, Bryn Stevens, John D. O’Connor, H. Phillip Koeffler, D L Morton, Ira Kurtz, Leland J. Foshag and Dave S.�B. Hoon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Experimental Cell Research, Cancer, Hepatology and Alzheimer Disease & Associated Disorders.

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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