Samuel Pine

1.1k citations
15 papers · 727 · h-index 10

Impact in

    • Tuberculosis Research and Epidemiology
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immunodeficiency and Autoimmune Disorders
    • Immune responses and vaccinations
    • Immune Cell Function and Interaction

Papers in

    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 4
    • Biosimilars and Bioanalytical Methods 3
    • Pneumocystis jirovecii pneumonia detection and treatment 1

Samuel Pine

14 papers receiving 719 citations

Peers

Samuel Pine
Comparison fields: 5 of 82
  • Infectious Diseases 328
  • Immunology 365
  • Virology 47
  • Epidemiology 218
  • Parasitology 23
Replace Elsa M. Laughlin with:
Elsa M. Laughlin United States
Markus Sköld United States
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Mischo Kursar Germany
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Mairaj Ahmed Ansari India
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Citations per field
00.5×2.8×
Elsa M. Laughlin · 1×
Citations per year

Countries citing papers authored by Samuel Pine

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Pine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010249
2 201898
3 201281
4 200970
5 201060
6 201642
7 201135
8 201329
9 200128
10 200421
11 20206
12 20163
13 20213
14 20241
15 20201

About Samuel Pine

Samuel Pine is a scholar working on Immunology, Epidemiology, Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 727 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers), Tuberculosis Research and Epidemiology (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Infectious Diseases (328 citations), Immunology (365 citations), Virology (47 citations), Epidemiology (218 citations) and Parasitology (23 citations). Samuel Pine has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Rhea N. Coler, Steven G. Reed, Sylvie Bertholet, Susan L. Baldwin, Hillarie Plessner Windish, Maria Kahn, M. Juliana McElrath, Pierre–Yves Bochud, Diane Ordway and Tony Phan. Their work appears in journals such as Bioanalysis, PLoS ONE, The Journal of Immunology, AIDS and Vaccine.

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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