S. de Graaf

749 citations
16 papers · 630 · h-index 12

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms
  • Genetics top 10%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema

Papers in

S. de Graaf

16 papers receiving 584 citations

Peers

S. de Graaf
Comparison fields: 5 of 74
  • Hematology 359
  • Genetics 106
  • Internal Medicine 26
  • Microbiology 40
  • Immunology and Allergy 35
Replace Y Ikeda with:
Y Ikeda Japan
Madhu S. Bajaj United States
Pauline F. Marx Netherlands
Cecilie Okkenhaug Norway
Mark S. Brower United States
Turid M. Pedersen Norway
Frances A. Pitlick United States
Philipp Haselmayer Germany
Dzung T. Le United States
S T Fan United States
S. de Graaf relative to Y Ikeda Japan Y Ikeda's profile →
Citations per field
00.5×1.5×
Y Ikeda · 1×
Citations per year

Countries citing papers authored by S. de Graaf

Since Specialization
Citations

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

Fields of papers citing papers by S. de Graaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. de Graaf. 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 S. de Graaf. The network helps show where S. de Graaf may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1994141
2 1989116
3 197484
4 200276
5
Immunofluorescence test for IgM rubella antibodies in whole serum after absorption with anti-gammaFc.
197540
6
Improved serodiagnosis of whooping cough caused by Bordetella pertussis by determination of IgG anti-LPF antibody levels.
198537
7 200435
8 197324
9 197820
10 199215
11 197614
12 197711
13 19759
14 19896
15 19751
16 20241

About S. de Graaf

S. de Graaf is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 16 papers that have together received 630 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Hemophilia Treatment and Research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Blood properties and coagulation (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Chemotherapy-induced organ toxicity mitigation (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (359 citations), Genetics (106 citations), Internal Medicine (26 citations), Microbiology (40 citations) and Immunology and Allergy (35 citations). S. de Graaf has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include CA Fulcher, Dorothea Scandella, Jan A. van Mourik, J J Sixma, J. Nagel, I. A. Mochtar, G. Henrita van Zanten, Pieter J. Slootweg, Philip G. de Groot and Harry F.G. Heijnen. Their work appears in journals such as Thrombosis Research, Blood, Thrombosis and Haemostasis, Circulation and International Journal of Oncology.

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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