Samuel O. Pine

1.1k citations
18 papers · 877 · h-index 12

Impact in

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

Papers in

    • Biosimilars and Bioanalytical Methods 7
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3

Samuel O. Pine

18 papers receiving 850 citations

Peers

Samuel O. Pine
Comparison fields: 5 of 86
  • Immunology 440
  • Infectious Diseases 359
  • Virology 50
  • Epidemiology 247
  • Parasitology 27
Replace Elsa M. Laughlin with:
Elsa M. Laughlin United States
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Sandra Koernig Australia
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Timothy L. Wyant United States
Erik S. Van Dis United States
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Citations per field
00.5×2×3.5×
Elsa M. Laughlin · 1×
Citations per year

Countries citing papers authored by Samuel O. Pine

Since Specialization
Citations

This map shows the geographic impact of Samuel O. 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 O. 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 O. Pine more than expected).

Fields of papers citing papers by Samuel O. Pine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010270
2 2018122
3 201286
4 200975
5 201063
6 202152
7 201647
8 201141
9 200135
10 201329
11 200422
12 202313
13 20247
14 20207
15 20214
16 20252
17 20241
18 20251

About Samuel O. Pine

Samuel O. Pine is a scholar working on Immunology, Biophysics, Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 877 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (7 papers), Immune Cell Function and Interaction (4 papers), Tuberculosis Research and Epidemiology (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers), Advanced Biosensing Techniques and Applications (2 papers), CAR-T cell therapy research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (440 citations), Infectious Diseases (359 citations), Virology (50 citations), Epidemiology (247 citations) and Parasitology (27 citations). Samuel O. Pine has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Steven G. Reed, Rhea N. Coler, Susan L. Baldwin, Sylvie Bertholet, Hillarie Plessner Windish, Margaret. Juliana McElrath, Maria Kahn, Pierre–Yves Bochud, Diane J. Ordway and Thomas S. Vedvick. Their work appears in journals such as Bioanalysis, PLoS ONE, Journal of Immunological Methods, Research and Practice in Thrombosis and Haemostasis 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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