Inge Pareyn

1.3k citations
44 papers · 1.0k · h-index 19

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Blood Coagulation and Thrombosis Mechanisms
  • Immunology top 5%
    • Complement system in diseases

Papers in

    • Complement system in diseases 25
    • Platelet Disorders and Treatments 22
    • Blood Coagulation and Thrombosis Mechanisms 6
    • Blood groups and transfusion 4

Inge Pareyn

41 papers receiving 986 citations

Peers

Inge Pareyn
Comparison fields: 5 of 66
  • Hematology 522
  • Immunology 472
  • Nephrology 101
  • Genetics 138
  • Immunology and Allergy 56
Replace Gabriel M. Romo with:
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JP Girma France
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Citations per field
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Citations per year

Countries citing papers authored by Inge Pareyn

Since Specialization
Citations

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

Fields of papers citing papers by Inge Pareyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005107
2 201094
3 200673
4 200666
5 200862
6 201560
7 201650
8 200535
9 202032
10
Rational humanization of the powerful antithrombotic anti-GPIbalpha antibody: 6B4.
200630
11 201229
12 201828
13 201028
14 200627
15 201727
16 200524
17 201723
18 201123
19 201720
20 201816

About Inge Pareyn

Inge Pareyn is a scholar working on Immunology, Hematology, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complement system in diseases (25 papers), Platelet Disorders and Treatments (22 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Blood groups and transfusion (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). The work is most often cited by research in Hematology (522 citations), Immunology (472 citations), Nephrology (101 citations), Genetics (138 citations) and Immunology and Allergy (56 citations). Inge Pareyn has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Karen Vanhoorelbeke, Hans Deckmyn, Nele Vandeputte, Simon F. De Meyer, Hendrik B. Feys, Peter J. Lenting, Jan Roodt, Seb Lamprecht, Hans Ulrichts and Thierry VandenDriessche. Their work appears in journals such as Blood, Journal of Thrombosis and Haemostasis, Thrombosis and Haemostasis, Journal of Biological Chemistry and PLoS ONE.

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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