Daniel Pearce

914 citations
17 papers · 698 · h-index 10

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Daniel Pearce

17 papers receiving 667 citations

Peers

Daniel Pearce
Comparison fields: 5 of 85
  • Infectious Diseases 378
  • Virology 73
  • Epidemiology 347
  • Emergency Medicine 86
  • Family Practice 19
Replace Kevin Gough with:
Kevin Gough Canada
Jomy George United States
Daniel Fuster Spain
Philip Abraham India
Charles Oo United States
Joan Albert Arnáiz Spain
Manoj J. Mammen United States
Sabrina Sales Martínez United States
Joel A. Dave South Africa
G. Friedland United States
Daniel Pearce relative to Kevin Gough Canada Kevin Gough's profile →
Citations per field
00.5×3.2×
Kevin Gough · 1×
Citations per year

Countries citing papers authored by Daniel Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993291
2 200565
3 201158
4 201555
5 201744
6 201239
7 201436
8 202134
9 200731
10 201012
11 20118
12 20137
13 20006
14 20165
15 20083
16 20173
17
Upregulation of the pro-inflammatory cytokine IL1 beta in the Neuronal Ceroid Lipofuscinoses
20061

About Daniel Pearce

Daniel Pearce is a scholar working on Infectious Diseases, Epidemiology, Emergency Medicine, Virology and Immunology, having authored 17 papers that have together received 698 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), HIV-related health complications and treatments (4 papers), HIV Research and Treatment (3 papers), Cannabis and Cannabinoid Research (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Medication Adherence and Compliance (2 papers) and Psychedelics and Drug Studies (1 paper). The work is most often cited by research in Infectious Diseases (378 citations), Virology (73 citations), Epidemiology (347 citations), Emergency Medicine (86 citations) and Family Practice (19 citations). Daniel Pearce has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David L. Cohn, Winkler G. Weinberg, Frederick P. Siegal, Anthony LaMarca, David L. Kaufman, D. William Cameron, Paul M. Sullam, Stephen D. Nightingale, Lawrence J. Eron and John J. Stern. Their work appears in journals such as International Journal of STD & AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS Patient Care and STDs, Data in Brief and Developmental Medicine & Child Neurology.

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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