John Doukas

2.4k citations
35 papers · 2.0k · h-index 21

Impact in

    • Cell Adhesion Molecules Research
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Diabetes and associated disorders

Papers in

    • T-cell and B-cell Immunology 6
    • Atherosclerosis and Cardiovascular Diseases 5
    • Immune Cell Function and Interaction 4
    • Angiogenesis and VEGF in Cancer 5

John Doukas

35 papers receiving 2.0k citations

Peers

John Doukas
Comparison fields: 5 of 95
  • Immunology and Allergy 244
  • Genetics 314
  • Immunology 465
  • Hematology 232
  • Ophthalmology 111
Replace Nobuaki Yanai with:
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Yi Wu China
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Citations per field
00.5×2×3×4×4.6×
Nobuaki Yanai · 1×
Citations per year

Countries citing papers authored by John Doukas

Since Specialization
Citations

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

Fields of papers citing papers by John Doukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008318
2 2004292
3 2004276
4 1990155
5 2006114
6 2008103
7 200891
8 200860
9 199655
10 199654
11 200747
12
Polyinosinic:polycytidylic acid is a potent activator of endothelial cells.
199445
13 199044
14 198844
15 198739
16 199038
17 198837
18
Thymic epithelial defects and predisposition to autoimmune disease in BB rats.
199431
19 198928
20 198927

About John Doukas

John Doukas is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Hematology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), T-cell and B-cell Immunology (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Immune Cell Function and Interaction (4 papers) and Chemokine receptors and signaling (4 papers). The work is most often cited by research in Immunology and Allergy (244 citations), Genetics (314 citations), Immunology (465 citations), Hematology (232 citations) and Ophthalmology (111 citations). John Doukas has collaborated with scholars based in United States and Germany. Frequent co-authors include Richard Söll, J S Pober, David A. Cheresh, Sara M. Weis, Glenn Noronha, John Hood, John P. Mordes, Michael Martin, Hechtman Hb and Satoshi Shintani. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Clinical Investigation, Journal of Clinical Oncology and Drug Metabolism and Disposition.

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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