Frank Preijers

8.8k citations
91 papers · 4.9k indexed · 3 hit papers · h-index 32
Topics
Hematopoietic Stem Cell Transplantation (32 papers)Immune Cell Function and Interaction (25 papers)T-cell and B-cell Immunology (21 papers)

In The Last Decade

Frank Preijers

90 papers receiving 4.8k citations

Hit Papers

Bacille Calmette-Guérin induces NOD2-dependent nonspecifi...20122026201620212012201320144008001.2k

Peers

Frank Preijers
Comparison fields: 5 of 110
  • Immunology 3.6k
  • Hematology 1.0k
  • Molecular Biology 800
  • Infectious Diseases 795
  • Oncology 688
Replace Bernd Jahrsdörfer with:
Bernd Jahrsdörfer Germany
Fridtjof Lund‐Johansen Norway
Alberto G. Ugazio Italy
Alexander R. Lawton United States
Wenwei Tu Hong Kong
Tim Niehues Germany
Alessandro Plebani Italy
Claire-Anne Siegrist Switzerland
Igñacio Sanz United States
Ewa Bernatowska Poland
Frank Preijers relative to Bernd Jahrsdörfer Germany Bernd Jahrsdörfer's profile →
Citations per field
00.5×8.3×
Bernd Jahrsdörfer · 1×
Citations per year

Countries citing papers authored by Frank Preijers

Since Specialization
Citations

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

Fields of papers citing papers by Frank Preijers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Preijers

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Preijers. A scholar is included among the top collaborators of Frank Preijers 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 Frank Preijers. Frank Preijers 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
#WorkIndexed citations
1 2
2 137
3 7
4 1
5 31
6 90
7 56
8 185
9 12
10 142
11 48
12 7
13 122
14 16
15 10
16 8
17 11
18 3
19 6
20 21

About Frank Preijers

Frank Preijers is a scholar working on Hematology, Immunology and Biotechnology, having authored 91 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (25 papers) and T-cell and B-cell Immunology (21 papers). The work is most often cited by research in Immunology (3.6k citations), Hematology (1.0k citations) and Health (492 citations). Frank Preijers has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Mihai G. Netea, Leo A. B. Joosten, J.W.M. van der Meer, Ramnik J. Xavier, Johanneke Kleinnijenhuis, Jessica Quintin, Cor Jacobs, Reinout van Crevel, Harry Dolstra and Hendrik G. Stunnenberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood 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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