J.G. Dohlman

533 citations
9 papers · 481 · h-index 8

Impact in

Papers in

    • Immunotherapy and Immune Responses 1
    • Immunodeficiency and Autoimmune Disorders 1
    • Glycosylation and Glycoproteins Research 1
    • Ubiquitin and proteasome pathways 1

J.G. Dohlman

9 papers receiving 455 citations

Peers

J.G. Dohlman
Comparison fields: 5 of 68
  • Immunology 135
  • Nutrition and Dietetics 51
  • Epidemiology 104
  • Rheumatology 45
  • Immunology and Allergy 18
Replace G Salvidio with:
G Salvidio Italy
Y Kawanishi Japan
Gershwin Me United States
E S Cathcart United States
T. Ishida Japan
I Caorsi Chile
C Linthorst Netherlands
Kathy Forrest United States
Hidetake Amemiya Japan
Sonia Tolani United States
J.G. Dohlman relative to G Salvidio Italy G Salvidio's profile →
Citations per field
00.5×
G Salvidio · 1×
Citations per year

Countries citing papers authored by J.G. Dohlman

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Dohlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.G. Dohlman. 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 J.G. Dohlman. The network helps show where J.G. Dohlman may publish in the future.

Co-authors

The 22 scholars most cited alongside J.G. Dohlman, 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 J.G. Dohlman Line = papers co-authored together J.G. Dohlman links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 199189
2 198885
3 199477
4 199173
5 199358
6
The predominance of beta (CC) chemokine transcripts in idiopathic inflammatory muscle diseases.
199752
7
Generation of a unique fibroblast-activating factor by human monocytes.
198435
8 198511
9 19851

About J.G. Dohlman

J.G. Dohlman is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Dermatology, having authored 9 papers that have together received 481 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Fatty Acid Research and Health (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper), Ubiquitin and proteasome pathways (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Immunology (135 citations), Nutrition and Dietetics (51 citations), Epidemiology (104 citations), Rheumatology (45 citations) and Immunology and Allergy (18 citations). J.G. Dohlman has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Mike Carson, Andrei N. Lupas, Volker Brendel, Samuel Karlin, B. Edwin Blaisdell, D G Payan, G.M. Anantharamaiah, D. J. Pillion, Edward J. Goetzl and E J Goetzl. Their work appears in journals such as Journal of Lipid Research, The Journal of Immunology, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Clinical & Experimental Allergy.

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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