Daniel S. Simpson

1.1k citations
8 papers · 635 indexed · h-index 8

Impact in

  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid
    • interferon and immune responses
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Gout, Hyperuricemia, Uric Acid 2
    • interferon and immune responses 3
    • Phagocytosis and Immune Regulation 1

Daniel S. Simpson

8 papers receiving 630 citations

Peers

Daniel S. Simpson
Comparison fields: 5 of 90
  • Nephrology 77
  • Immunology 215
  • Molecular Biology 459
  • Biological Psychiatry 12
  • Hematology 36
Replace Hiroko Kushiyama with:
Hiroko Kushiyama Japan
Claudia Gottier Switzerland
Danlu Jiang China
Dayuan Zou China
Linda A. Tephly United States
Kaixin Liang United States
Thiago A. Patente Brazil
Rojo A. Ratsimandresy United States
Connie M. Ross Australia
Sophie Fougeray France
Daniel S. Simpson relative to Hiroko Kushiyama Japan Hiroko Kushiyama's profile →
Citations per field
00.5×1.5×
Hiroko Kushiyama · 1×
Citations per year

Countries citing papers authored by Daniel S. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2018177
2 2020115
3 201997
4 201885
5 202160
6 201855
7 202325
8 202021

About Daniel S. Simpson

Daniel S. Simpson is a scholar working on Nephrology, Immunology, Biochemistry, Molecular Biology and Hematology, having authored 8 papers that have together received 635 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (7 papers), interferon and immune responses (3 papers), Cell death mechanisms and regulation (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), NF-κB Signaling Pathways (1 paper), Phagocytosis and Immune Regulation (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Nephrology (77 citations), Immunology (215 citations), Molecular Biology (459 citations), Biological Psychiatry (12 citations) and Hematology (36 citations). Daniel S. Simpson has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Kate E. Lawlor, James E. Vince, Rebecca Feltham, Monica Yabal, Dale J. Calleja, Cathrine Hall, John Silke, Swarna Lekha Vijayaraj, Maryam Rashidi and James M. Murphy. Their work appears in journals such as Cell Reports, Diabetes, The Journal of Immunology, Journal of Leukocyte Biology and Seminars in Cell and Developmental Biology.

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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