Daniel S. Simpson

1.2k citations
9 papers · 670 · h-index 8

Impact in

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

Papers in

    • Inflammasome and immune disorders 7
    • Cell death mechanisms and regulation 3
    • interferon and immune responses 3
    • Phagocytosis and Immune Regulation 2

Daniel S. Simpson

9 papers receiving 663 citations

Peers

Daniel S. Simpson
Comparison fields: 5 of 88
  • Nephrology 72
  • Immunology 198
  • Molecular Biology 444
  • Biological Psychiatry 12
  • Epidemiology 104
Replace Hiroko Kushiyama with:
Hiroko Kushiyama Japan
Danlu Jiang China
Mamunur Rashid Mahib Japan
Dayuan Zou China
Roberto Negro Italy
Connie M. Ross Australia
Sophie Fougeray France
Rojo A. Ratsimandresy United States
Caroline L. Holley Australia
Thiago A. Patente Brazil
Daniel S. Simpson relative to Hiroko Kushiyama Japan Hiroko Kushiyama's profile →
Citations per field
00.5×1.5×1.8×
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

9 of 9 papers shown
#Work
1 2018187
2 2020122
3 201998
4 201889
5 202165
6 201856
7 202330
8 202022
9 20251

About Daniel S. Simpson

Daniel S. Simpson is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Nephrology and Epidemiology, having authored 9 papers that have together received 670 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (7 papers), Cell death mechanisms and regulation (3 papers), interferon and immune responses (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Phagocytosis and Immune Regulation (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Nephrology (72 citations), Immunology (198 citations), Molecular Biology (444 citations), Biological Psychiatry (12 citations) and Epidemiology (104 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, Dale J. Calleja, Monica Yabal, Cathrine Hall, John Silke, Swarna Lekha Vijayaraj, Daniel Frank and Maryam Rashidi. Their work appears in journals such as Cell Reports, Nature Communications, Cell Death and Differentiation, The Journal of Immunology and Journal of Leukocyte 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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