Daniel P. Rossignol

3.9k citations
50 papers · 2.3k · h-index 26

Impact in

  • Immunology top 2%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immunotherapy and Immune Responses
    • Antimicrobial Peptides and Activities

Papers in

    • Immune Response and Inflammation 22
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 4
    • Ion channel regulation and function 5

Daniel P. Rossignol

50 papers receiving 2.3k citations

Peers

Daniel P. Rossignol
Comparison fields: 5 of 117
  • Immunology 1.2k
  • Microbiology 145
  • Hematology 174
  • Epidemiology 437
  • Physiology 51
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Citations per field
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Citations per year

Countries citing papers authored by Daniel P. Rossignol

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Rossignol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Rossignol. 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 Daniel P. Rossignol. The network helps show where Daniel P. Rossignol may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013345
2 2003246
3 2001231
4 2003127
5 198477
6 200472
7 200268
8 198167
9 200264
10
TLR4 antagonists for endotoxemia and beyond.
200559
11 199957
12 200456
13 201154
14 198354
15 200753
16 200251
17 198349
18 199548
19 200347
20 200347

About Daniel P. Rossignol

Daniel P. Rossignol is a scholar working on Immunology, Molecular Biology, Epidemiology, Plant Science and Nutrition and Dietetics, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (22 papers), Sepsis Diagnosis and Treatment (6 papers), Fatty Acid Research and Health (5 papers), Ion channel regulation and function (5 papers), Immune cells in cancer (4 papers), Immune Cell Function and Interaction (4 papers), Insect and Pesticide Research (3 papers) and Marine Biology and Environmental Chemistry (2 papers). The work is most often cited by research in Immunology (1.2k citations), Microbiology (145 citations), Hematology (174 citations), Epidemiology (437 citations) and Physiology (51 citations). Daniel P. Rossignol has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Melvyn Lynn, William J. Christ, Jeffrey Rose, William J. Lennarz, Fabian Gusovsky, Tsutomu Kawata, John R. Bristol, Charles J. Waechter, Lynn D. Hawkins and Seiichi Kobayashi. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Pesticide Biochemistry and Physiology, Journal of Pharmacology and Experimental Therapeutics, The Journal of Clinical Pharmacology and Biochemical and Biophysical Research Communications.

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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