F. Peetoom

751 citations
35 papers · 536 indexed · h-index 10

Impact in

Papers in

    • Blood groups and transfusion 13
    • Platelet Disorders and Treatments 4
    • Complement system in diseases 7
    • Immunodeficiency and Autoimmune Disorders 4

F. Peetoom

29 papers receiving 454 citations

Peers

F. Peetoom
Comparison fields: 5 of 79
  • Agronomy and Crop Science 156
  • Immunology 278
  • Hematology 92
  • Ecology, Evolution, Behavior and Systematics 130
  • Rheumatology 54
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F. Peetoom relative to Kenji Shirono Japan Kenji Shirono's profile →
Citations per field
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Kenji Shirono · 1×
Citations per year

Countries citing papers authored by F. Peetoom

Since Specialization
Citations

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

Fields of papers citing papers by F. Peetoom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988208
2 196660
3 196544
4 197029
5 197328
6 196220
7
Transfusion medicine, recent technological advances.
198618
8 196414
9 196314
10 197614
11 19638
12
Studies on tetanus antitoxin. I. Isolation of two neutralizing antibodies from tetanus antitoxin.
19707
13 19647
14 19647
15
[Study of hemolysates of human erythrocytes. II. Presence in normal serums of a substance precipitating the hemolysate].
19606
16 19666
17 19635
18 19645
19 19645
20 19675

About F. Peetoom

F. Peetoom is a scholar working on Hematology, Immunology, Molecular Biology, Physiology and Genetics, having authored 35 papers that have together received 536 indexed citations. Recurring topics across this work include Blood groups and transfusion (13 papers), Complement system in diseases (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Glycosylation and Glycoproteins Research (4 papers), Blood disorders and treatments (4 papers), Platelet Disorders and Treatments (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Agronomy and Crop Science (156 citations), Immunology (278 citations), Hematology (92 citations), Ecology, Evolution, Behavior and Systematics (130 citations) and Rheumatology (54 citations). F. Peetoom has collaborated with scholars based in Netherlands, United States and Uganda. Frequent co-authors include H. van der Geld, K. Somers, Steven Kleinman, Bruce A. Lenes, Dennis J. Slamon, Robert J Bowman, Alan Williams, Bernard J. Poiesz, Gerald I. Shulman and K. W. Pondman. Their work appears in journals such as Vox Sanguinis, The Lancet, The Journal of Pediatrics, Transfusion and Nature.

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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