Samuel T. Test

2.4k citations
18 papers · 2.0k · h-index 14

Impact in

  • Immunology top 5%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Erythrocyte Function and Pathophysiology 6
    • Nitric Oxide and Endothelin Effects 4
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 8
    • Complement system in diseases 2

Samuel T. Test

18 papers receiving 1.9k citations

Peers

Samuel T. Test
Comparison fields: 5 of 118
  • Immunology 759
  • Hematology 278
  • Physiology 550
  • Cancer Research 265
  • Genetics 163
Replace Steen V. Petersen with:
Steen V. Petersen Denmark
Anne Sturrock United States
George Weinbaum United States
Xi Yuan Sweden
J. R. Kalden Germany
László Szabó Hungary
Mitsuhiro Fujihara Japan
Kwok‐Wai Lam United States
G. W. Löhr Germany
Chinmay K. Mukhopadhyay India
Samuel T. Test relative to Steen V. Petersen Denmark Steen V. Petersen's profile →
Citations per field
00.5×2.7×
Steen V. Petersen · 1×
Citations per year

Countries citing papers authored by Samuel T. Test

Since Specialization
Citations

This map shows the geographic impact of Samuel T. Test'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 T. Test with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel T. Test more than expected).

Fields of papers citing papers by Samuel T. Test

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Samuel T. Test, 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 T. Test Line = papers co-authored together Samuel T. Test links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1985395
2 1983337
3 1986298
4 1984239
5 1986164
6 1984140
7 1997129
8 198688
9 200163
10 199848
11 200143
12 200525
13 199115
14 199713
15 20047
16 20056
17 19984
18 19863

About Samuel T. Test

Samuel T. Test is a scholar working on Physiology, Immunology, Molecular Biology, Genetics and Epidemiology, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Lipid Membrane Structure and Behavior (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Pneumonia and Respiratory Infections (3 papers), Blood groups and transfusion (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Immunology (759 citations), Hematology (278 citations), Physiology (550 citations), Cancer Research (265 citations) and Genetics (163 citations). Samuel T. Test has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Stephen J. Weiss, Mark B. Lampert, Sandra Regiani, C G Ragsdale, Carel M. Eckmann, Dirk Roos, Nancy Matheson, Jess G. Thoene, Lori Styles and Frans A. Kuypers. Their work appears in journals such as Blood, Infection and Immunity, Science, Journal of Clinical Investigation and Transfusion.

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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