Davis Sim

1.0k citations
7 papers · 890 · h-index 5

Impact in

    • Wound Healing and Treatments
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Systemic Lupus Erythematosus Research 3

Davis Sim

7 papers receiving 878 citations

Peers

Davis Sim
Comparison fields: 5 of 87
  • Rehabilitation 153
  • Neurology 284
  • Neurology 64
  • Immunology 163
  • Genetics 80
Replace Inês Sequeira with:
Inês Sequeira United Kingdom
Susan Brammah Australia
Hirokazu Yasuno Japan
Dominique Dormont France
Bharati Matta United States
Sourabh Singh Roy United Kingdom
Yurie Yamamoto Japan
Samuel B. Aronson United States
Rachel M. Kratofil Canada
Cristiane Damas Gil Brazil
Davis Sim relative to Inês Sequeira United Kingdom Inês Sequeira's profile →
Citations per field
00.5×2×4×6.3×
Inês Sequeira · 1×
Citations per year

Countries citing papers authored by Davis Sim

Since Specialization
Citations

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

Fields of papers citing papers by Davis Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2002558
2 2011244
3 200239
4 201123
5 200720
6 20095
7 20081

About Davis Sim

Davis Sim is a scholar working on Immunology, Rheumatology, Rehabilitation, Occupational Therapy and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 890 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (3 papers), Wound Healing and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Mycobacterium research and diagnosis (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Rehabilitation (153 citations), Neurology (284 citations), Neurology (64 citations), Immunology (163 citations) and Genetics (80 citations). Davis Sim has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Sharon M. Wahl, Gillian S. Ashcroft, Wenwen Jin, Aihao H. Ding, Hediye Erdjument‐Bromage, Clifford D. Wright, Lynne Lacomis, Jing Ke Zhu, Paul Tempst and Carl Nathan. Their work appears in journals such as The Journal of Immunology, The FASEB Journal, Journal of Autoimmunity, Wound Repair and Regeneration and Cell.

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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