Steven de Maat

1.9k total citations
42 papers, 1.3k citations indexed

About

Steven de Maat is a scholar working on Genetics, Hematology and Immunology. According to data from OpenAlex, Steven de Maat has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 26 papers in Hematology and 13 papers in Immunology. Recurrent topics in Steven de Maat's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers), Blood Coagulation and Thrombosis Mechanisms (22 papers) and Platelet Disorders and Treatments (9 papers). Steven de Maat is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers), Blood Coagulation and Thrombosis Mechanisms (22 papers) and Platelet Disorders and Treatments (9 papers). Steven de Maat collaborates with scholars based in Netherlands, Germany and Belgium. Steven de Maat's co-authors include Coen Maas, Zonne L. M. Hofman, Thomas Renné, C. Erik Hack, Philip G. de Groot, Gerard Pasterkamp, Jenny Björkqvist, Claudia Tersteeg, Arjan D. Barendrecht and Philip de Groot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Steven de Maat

42 papers receiving 1.2k citations

Peers

Steven de Maat
Comparison fields: 5 of 90
  • Genetics 754
  • Hematology 479
  • Immunology 331
  • Nutrition and Dietetics 220
  • Molecular Biology 208
Replace Katrin F. Nickel with:
Katrin F. Nickel Germany
Dorina Roem Netherlands
Stefan Schmidbauer Germany
Aya Shibamiya Germany
Noriko Fukuhara Japan
Omar Perbellini Italy
Claudine Blin‐Wakkach France
Hongyan Tong China
Sten F.W.M. Libregts Netherlands
Eri Ishikawa Japan
Katrin F. Nickel Germany View profile →
Citations per field, relative to Steven de Maat
Steven de Maat · 1×
Citations per year, relative to Steven de Maat
Steven de Maat · 1×

Countries citing papers authored by Steven de Maat

Since Specialization
Citations

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

Fields of papers citing papers by Steven de Maat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven de Maat

This figure shows the co-authorship network connecting the top 25 collaborators of Steven de Maat. A scholar is included among the top collaborators of Steven de Maat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven de Maat. Steven de Maat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 2
3 12
4 2
5 17
6 6
7 17
8 9
9 31
10 20
11 4
12 19
13 24
14 59
15 6
16 123
17 5
18 67
19 123
20 32

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026