M. Witvliet

717 total citations
21 papers, 520 citations indexed

About

M. Witvliet is a scholar working on Transplantation, Surgery and Immunology. According to data from OpenAlex, M. Witvliet has authored 21 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transplantation, 7 papers in Surgery and 5 papers in Immunology. Recurrent topics in M. Witvliet's work include Renal Transplantation Outcomes and Treatments (8 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Organ Donation and Transplantation (3 papers). M. Witvliet is often cited by papers focused on Renal Transplantation Outcomes and Treatments (8 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Organ Donation and Transplantation (3 papers). M. Witvliet collaborates with scholars based in Netherlands and United States. M. Witvliet's co-authors include Frans H.J. Claas, Willem Weimar, Ilias I.N. Doxiadis, Bernadette Haase‐Kromwijk, René J. Duquesnoy, Johan W. de Fijter, Anneke Brand, Jo Hermans, Leo van de Watering and Michel I.M. Versteegh and has published in prestigious journals such as Transplantation, The Annals of Thoracic Surgery and British Journal of Haematology.

In The Last Decade

M. Witvliet

19 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Witvliet Netherlands 12 217 208 167 109 94 21 520
R. Bardi Tunisia 12 125 0.6× 110 0.5× 62 0.4× 148 1.4× 39 0.4× 54 412
Miriam Manook United States 15 495 2.3× 320 1.5× 129 0.8× 269 2.5× 55 0.6× 37 765
Marian D. Witvliet Netherlands 13 427 2.0× 283 1.4× 248 1.5× 230 2.1× 34 0.4× 18 680
Mickey Mr United States 13 218 1.0× 165 0.8× 136 0.8× 118 1.1× 99 1.1× 42 526
Donna P. Lucas United States 14 604 2.8× 374 1.8× 81 0.5× 246 2.3× 103 1.1× 32 786
Brendan Clark United Kingdom 13 211 1.0× 173 0.8× 62 0.4× 217 2.0× 30 0.3× 33 567
Jana Malušková Czechia 14 176 0.8× 235 1.1× 68 0.4× 34 0.3× 15 0.2× 40 532
Kiyoshi Setoguchi Japan 13 493 2.3× 328 1.6× 138 0.8× 118 1.1× 54 0.6× 34 624
Gerold Becker Germany 9 124 0.6× 176 0.8× 33 0.2× 152 1.4× 10 0.1× 24 460
Kyle Freischlag United States 11 111 0.5× 158 0.8× 49 0.3× 57 0.5× 20 0.2× 31 338

Countries citing papers authored by M. Witvliet

Since Specialization
Citations

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

Fields of papers citing papers by M. Witvliet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Witvliet

This figure shows the co-authorship network connecting the top 25 collaborators of M. Witvliet. A scholar is included among the top collaborators of M. Witvliet 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 M. Witvliet. M. Witvliet 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
1.
2.
Witvliet, M., E. Karin Arkenbout, & Pieter W. Kamphuisen. (2023). Using Coronary Artery Calcium Score as Diagnostic Tool in Symptomatic Chronic Coronary Syndrome Patients in a Real-Life Setting. Vascular Health and Risk Management. Volume 19. 571–582. 1 indexed citations
3.
Witvliet, M., et al.. (2021). Usefulness, pitfalls and interpretation of handheld single‑lead electrocardiograms. Journal of Electrocardiology. 66. 33–37. 27 indexed citations
4.
Witvliet, M., et al.. (2011). Five‐year results of fissurectomy for chronic anal fissure : low recurrence rate and minimal effect on continence. Colorectal Disease. 14(8). 997–1000. 31 indexed citations
5.
Witvliet, M.. (2009). Children's Peer Relations and the Development of Psychopathology : A Group-based Approach. VU Research Portal. 1 indexed citations
6.
7.
Doxiadis, Ilias I.N., Geert W. Haasnoot, M. Witvliet, & Frans H.J. Claas. (2007). 10-P: The virtual PRA: An excellent tool to predict the chance to find a crossmatch negative donor. Human Immunology. 68(1). S20–S20. 1 indexed citations
8.
Klerk, Marry de, Bernadette Haase‐Kromwijk, Frans H.J. Claas, M. Witvliet, & Willem Weimar. (2006). Living Donor Kidney Exchange for Both ABO-Incompatible and Crossmatch Positive Donor–Recipient Combinations. Transplantation Proceedings. 38(9). 2793–2795. 7 indexed citations
9.
Claas, Frans H.J., et al.. (2005). The Dutch National Living Donor Kidney Exchange Program. American Journal of Transplantation. 5(9). 2302–2305. 130 indexed citations
10.
Doxiadis, Ilias I.N., M. Witvliet, René J. Duquesnoy, Guido G. Persijn, & Frans H.J. Claas. (2005). The alternative to desensitization of highly sensitized kidney patients is the acceptable mismatch program: Short waiting time, reduced costs, and excellent graft outcome. Human Immunology. 66(8). 116–116. 1 indexed citations
11.
Witvliet, M., Ilias I.N. Doxiadis, Johan W. de Fijter, Frans H. J. Claas, & René J. Duquesnoy. (2004). HLAMatchmaker-based strategy to identify acceptable HLA class�I mismatches for highly sensitized kidney transplant candidates. Transplant International. 17(1). 22–30. 55 indexed citations
12.
Duquesnoy, René J., M. Witvliet, Ilias I.N. Doxiadis, Johan W. de Fijter, & Frans H.J. Claas. (2004). HLAMatchmaker-based strategy to identify acceptable HLA class I mismatches for highly sensitized kidney transplant candidates. Transplant International. 17(1). 22–30. 41 indexed citations
13.
Roelen, Dave L., Peter de Lange, M. Witvliet, et al.. (2003). Differential immunogenicity of paternal HLA Class I antigens in pregnant women. Human Immunology. 64(6). 600–606. 33 indexed citations
14.
Watering, Leo van de, Jo Hermans, M. Witvliet, Michel I.M. Versteegh, & Anneke Brand. (2003). HLA and RBC immunization after filtered and buffy coat‐depleted blood transfusion in cardiac surgery: a randomized controlled trial. Transfusion. 43(6). 765–771. 66 indexed citations
15.
Witvliet, M., et al.. (2000). The relevance of proficiency testing for laboratories involved in cadaveric organ transplantation and its consequences for graft survival.. PubMed. 99–103. 13 indexed citations
16.
Witvliet, M., et al.. (1998). Immunogenic human leukocyte antigen class II antigens on human cardiac valves induce specific alloantibodies. The Annals of Thoracic Surgery. 66(6). 2022–2026. 36 indexed citations
17.
Witvliet, M., et al.. (1998). The impact of special programs for kidney transplantation of highly sensitized patients in Eurotransplant.. PubMed. 115–20. 6 indexed citations
18.
Witvliet, M., et al.. (1997). Donor-specific anti-human leukocyte antigen class I antibodies after implantation of cardiac valve allografts.. PubMed. 16(5). 570–2. 32 indexed citations
19.
Brand, Anneke, M. Witvliet, F.H.J. Claas, & J. G. Eernisse. (1988). Beneficial effect of intravenous gammaglobulin in a patient with complement‐mediated autoimmune thrombocytopenia due to IgM‐anti‐platelet antibodies. British Journal of Haematology. 69(4). 507–511. 17 indexed citations
20.
Jager, Martine J., Frans H.J. Claas, M. Witvliet, & Jon J. van Rood. (1986). Correspondence of the monocyte antigen HMA-1 to the non-HLA antigen 9a. Immunogenetics. 23(2). 71–77. 15 indexed citations

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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