Dan Birmingham

1.0k citations
22 papers · 791 · h-index 14

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Systemic Lupus Erythematosus Research

Papers in

Dan Birmingham

22 papers receiving 760 citations

Peers

Dan Birmingham
Comparison fields: 5 of 57
  • Nephrology 226
  • Rheumatology 347
  • Immunology 332
  • Hematology 74
  • Hepatology 44
Replace Dawn J. Caster with:
Dawn J. Caster United States
M F Gourley United States
M-H Zhao China
Karin S. Peterson United States
A. Léon France
Dag Leonard Sweden
Norifumi Sawamukai Japan
Chikako Segawa Japan
M Savi Italy
Arthur F. Kavanaugh United States
Dan Birmingham relative to Dawn J. Caster United States Dawn J. Caster's profile →
Citations per field
00.5×7.8×
Dawn J. Caster · 1×
Citations per year

Countries citing papers authored by Dan Birmingham

Since Specialization
Citations

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

Fields of papers citing papers by Dan Birmingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004234
2 200775
3 200565
4 199159
5 200853
6 200748
7 201534
8 201630
9 202229
10 202020
11 199419
12 202118
13 201616
14 200716
15 199413
16 199613
17 201812
18 20169
19 19898
20 20198

About Dan Birmingham

Dan Birmingham is a scholar working on Nephrology, Rheumatology, Immunology, Hematology and Physiology, having authored 22 papers that have together received 791 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Systemic Lupus Erythematosus Research (9 papers), Complement system in diseases (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Blood groups and transfusion (4 papers), Liver Diseases and Immunity (2 papers), Diabetes and associated disorders (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Nephrology (226 citations), Rheumatology (347 citations), Immunology (332 citations), Hematology (74 citations) and Hepatology (44 citations). Dan Birmingham has collaborated with scholars based in United States, Argentina and Mexico. Frequent co-authors include Brad H. Rovin, Lee A. Hebert, C. Yung Yu, Huijuan Song, Haikady N. Nagaraja, Borja G. Cosío, Toru Shibata, Betty P. Tsao, Yan Yang and Ganesh Shidham. Their work appears in journals such as The Journal of Immunology, Journal of the American Society of Nephrology, Kidney International, Kidney International Reports and Cytogenetic and Genome Research.

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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