David Brott

665 citations
30 papers · 550 · h-index 14

Impact in

    • Immunotoxicology and immune responses
    • T-cell and B-cell Immunology
    • Animal testing and alternatives

Papers in

David Brott

27 papers receiving 502 citations

Peers

David Brott
Comparison fields: 5 of 87
  • Immunology 137
  • Small Animals 43
  • Pharmacology 46
  • Hematology 59
  • Immunology and Allergy 26
Replace Jean-Guy Bienvenu with:
Jean-Guy Bienvenu Canada
Sven Kronenberg Switzerland
Ellen Cheung United States
Marjolein E. Sanders Netherlands
Bradley James Rabquer United States
Jonathan T. Beech United Kingdom
Marta Amaral Portugal
Mads Krogsgaard Thomsen Denmark
Kiyohiro Higuchi Japan
Ji‐Hyeon Ju South Korea
David Brott relative to Jean-Guy Bienvenu Canada Jean-Guy Bienvenu's profile →
Citations per field
00.5×1.5×2×
Jean-Guy Bienvenu · 1×
Citations per year

Countries citing papers authored by David Brott

Since Specialization
Citations

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

Fields of papers citing papers by David Brott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199783
2 198563
3 200540
4 200637
5 201935
6 201434
7 201330
8 199629
9 201021
10 199320
11 199219
12 199318
13 201416
14 201515
15 201214
16 201414
17 201413
18 200512
19 199310
20 20125

About David Brott

David Brott is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Immunology, Immunology and Allergy and Nephrology, having authored 30 papers that have together received 550 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Computational Drug Discovery Methods (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Cell Adhesion Molecules Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Immunology (137 citations), Small Animals (43 citations), Pharmacology (46 citations), Hematology (59 citations) and Immunology and Allergy (26 citations). David Brott has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Bernhard Ørn Palsson, Stylianos Andreadis, A. Oveta Fuller, Robert F. Todd, Rudy J. Richardson, Calvert S. Louden, Sarah T. Gould, Ramin B. Arani, Scott H. Adler and Mark Pinches. Their work appears in journals such as Toxicologic Pathology, Drug Design Development and Therapy, Toxicology and Applied Pharmacology, Annals of the New York Academy of Sciences and Basic & Clinical Pharmacology & Toxicology.

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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