Gert Datema

679 citations
20 papers · 558 · h-index 14

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 8
    • Reproductive System and Pregnancy 6
    • Immunotherapy and Immune Responses 2
    • Renal Transplantation Outcomes and Treatments 7

Gert Datema

20 papers receiving 548 citations

Peers

Gert Datema
Comparison fields: 5 of 63
  • Transplantation 53
  • Immunology 408
  • Obstetrics and Gynecology 111
  • Hematology 109
  • Biochemistry 38
Replace William J. Burlingham with:
William J. Burlingham United States
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Citations per field
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William J. Burlingham · 1×
Citations per year

Countries citing papers authored by Gert Datema

Since Specialization
Citations

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

Fields of papers citing papers by Gert Datema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2010151
2 200267
3 200262
4 199037
5 199234
6 199432
7 200128
8 200023
9 200023
10 199222
11 199015
12
Increase of donor-specific cytotoxic T lymphocyte precursors after transfusion.
198915
13 199413
14 199413
15 20037
16 19996
17 19894
18
T-cell receptor V gene segment usage of graft-infiltrating T-lymphocytes after heart transplantation.
19933
19 19902
20
Analysis of the donor-specific cytotoxic T-cell repertoire in a patient with a long-term surviving kidney allograft.
19901

About Gert Datema

Gert Datema is a scholar working on Immunology, Transplantation, Epidemiology, Hematology and Surgery, having authored 20 papers that have together received 558 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Reproductive System and Pregnancy (6 papers), Cytomegalovirus and herpesvirus research (2 papers), Platelet Disorders and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and Pregnancy and Medication Impact (2 papers). The work is most often cited by research in Transplantation (53 citations), Immunology (408 citations), Obstetrics and Gynecology (111 citations), Hematology (109 citations) and Biochemistry (38 citations). Gert Datema has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Frans H.J. Claas, Peter J. van den Elsen, Dave L. Roelen, Arend Mulder, Michael Eikmans, Dorrith Schonkeren, Sicco A. Scherjon, Tamara Tilburgs, Jan M. van Lith and Nicole M. A. Nagtzaam. Their work appears in journals such as Transplantation, The Journal of Immunology, Human Immunology, Vox Sanguinis and Scandinavian Journal of Immunology.

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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