Jan J. Cornelissen

31.6k total citations · 3 hit papers
319 papers, 13.0k citations indexed

About

Jan J. Cornelissen is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Jan J. Cornelissen has authored 319 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 234 papers in Hematology, 88 papers in Public Health, Environmental and Occupational Health and 69 papers in Oncology. Recurrent topics in Jan J. Cornelissen's work include Hematopoietic Stem Cell Transplantation (178 papers), Acute Myeloid Leukemia Research (120 papers) and Acute Lymphoblastic Leukemia research (84 papers). Jan J. Cornelissen is often cited by papers focused on Hematopoietic Stem Cell Transplantation (178 papers), Acute Myeloid Leukemia Research (120 papers) and Acute Lymphoblastic Leukemia research (84 papers). Jan J. Cornelissen collaborates with scholars based in Netherlands, France and Germany. Jan J. Cornelissen's co-authors include Bob Löwenberg, Didier Blaise, Bronno van der Holt, Mohamad Mohty, Leo F. Verdonck, Albert D. M. E. Osterhaus, Joost W. J. van Esser, Hubert G.M. Niesters, Aloïs Gratwohl and Jan W. Gratama and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jan J. Cornelissen

307 papers receiving 12.8k citations

Hit Papers

Human fetal lymphoid tissue–inducer cells are interleukin... 2008 2026 2014 2020 2008 2016 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan J. Cornelissen Netherlands 58 7.1k 3.4k 2.9k 2.6k 2.3k 319 13.0k
Richard T. Maziarz United States 59 7.5k 1.1× 4.0k 1.2× 2.6k 0.9× 1.3k 0.5× 2.3k 1.0× 361 13.1k
Jeff Szer Australia 58 8.4k 1.2× 3.5k 1.0× 4.8k 1.6× 1.8k 0.7× 1.9k 0.8× 385 15.3k
Ted Gooley United States 73 10.3k 1.5× 4.9k 1.4× 4.7k 1.6× 2.6k 1.0× 3.0k 1.3× 322 18.3k
Nöel Milpied France 65 6.1k 0.9× 5.3k 1.5× 2.7k 0.9× 2.2k 0.8× 1.8k 0.8× 423 13.9k
Rodrigo Martino Spain 56 5.1k 0.7× 2.8k 0.8× 1.9k 0.6× 3.4k 1.3× 1.5k 0.6× 313 10.4k
Hildegard Greinix Austria 47 5.6k 0.8× 1.9k 0.6× 2.6k 0.9× 1.4k 0.5× 1.2k 0.5× 244 8.9k
Reuven Or Israel 44 6.6k 0.9× 2.6k 0.8× 3.5k 1.2× 1.4k 0.5× 1.4k 0.6× 303 10.8k
Donna Przepiorka United States 59 12.0k 1.7× 5.5k 1.6× 5.6k 1.9× 1.9k 0.7× 2.6k 1.1× 197 18.2k
Mary E.D. Flowers United States 77 14.2k 2.0× 4.8k 1.4× 5.4k 1.8× 2.9k 1.1× 3.9k 1.7× 339 20.0k
Nicolaus Kröger Germany 70 12.0k 1.7× 5.1k 1.5× 3.4k 1.2× 1.1k 0.4× 2.7k 1.1× 583 17.0k

Countries citing papers authored by Jan J. Cornelissen

Since Specialization
Citations

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

Fields of papers citing papers by Jan J. Cornelissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan J. Cornelissen. 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 Jan J. Cornelissen. The network helps show where Jan J. Cornelissen may publish in the future.

Co-authorship network of co-authors of Jan J. Cornelissen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan J. Cornelissen. A scholar is included among the top collaborators of Jan J. Cornelissen 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 Jan J. Cornelissen. Jan J. Cornelissen 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.
Wynn, Robert, Fernanda Volt, Philippe Guardiola, et al.. (2025). Impact of shared HLA determinants between patient and losing cord blood unit on relapse after double cord blood transplantation. Blood Advances. 9(17). 4425–4435. 2 indexed citations
3.
Grob, Tim, Adil S. A. Al Hinai, Mathijs A. Sanders, et al.. (2022). Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndrome. Blood. 139(15). 2347–2354. 159 indexed citations breakdown →
4.
Baron, Frédéric, Myriam Labopin, Jan J. Cornelissen, et al.. (2021). Comparison of long-term outcome for AML patients alive free of disease 2 years after allogeneic hematopoietic cell transplantation with umbilical cord blood versus unrelated donor: a study from the ALWP of the EBMT. Bone Marrow Transplantation. 56(11). 2742–2748. 3 indexed citations
5.
Mikulska, Małgorzata, Olaf Penack, Nina Knelange, et al.. (2021). HEV infection in stem cell transplant recipients—retrospective study of EBMT Infectious Diseases Working Party. Bone Marrow Transplantation. 57(2). 167–175. 5 indexed citations
6.
Nagler, Arnon, Myriam Labopin, Bhagirathbhai Dholaria, et al.. (2020). Comparison of Haploidentical Bone Marrow versus Matched Unrelated Donor Peripheral Blood Stem Cell Transplantation with Posttransplant Cyclophosphamide in Patients with Acute Leukemia. Clinical Cancer Research. 27(3). 843–851. 26 indexed citations
8.
Poiré, Xavier, Myriam Labopin, Emmanuelle Polge, et al.. (2019). Allogeneic stem cell transplantation using HLA-matched donors for acute myeloid leukemia with deletion 5q or monosomy 5: a study from the Acute Leukemia Working Party of the EBMT. Haematologica. 105(2). 414–423. 8 indexed citations
9.
Hayashi, Hiromi, Annalisa Ruggeri, Fernanda Volt, et al.. (2018). Chronic graft-versus-host disease features in double unit cord blood transplantation according to National Institutes of Health 2005 cGVHD Consensus criteria. Bone Marrow Transplantation. 53(4). 417–421. 1 indexed citations
10.
Duinhouwer, Lucia, Nick Beije, Bronno van der Holt, et al.. (2018). Impaired thymopoiesis predicts for a high risk of severe infections after reduced intensity conditioning without anti-thymocyte globulin in double umbilical cord blood transplantation. Bone Marrow Transplantation. 53(6). 673–682. 6 indexed citations
11.
Tüysüz, Nesrin, Louis van Bloois, Stieneke van den Brink, et al.. (2017). Lipid-mediated Wnt protein stabilization enables serum-free culture of human organ stem cells. Nature Communications. 8(1). 14578–14578. 59 indexed citations
12.
Gratwohl, Aloïs, Anna Sureda, Jan J. Cornelissen, et al.. (2017). Alloreactivity: the Janus-face of hematopoietic stem cell transplantation. Leukemia. 31(8). 1752–1759. 16 indexed citations
13.
Thielen, Noortje, Jeroen J. W. M. Janssen, Mels Hoogendoorn, et al.. (2017). Omitting cytogenetic assessment from routine treatment response monitoring in chronic myeloid leukemia is safe. European Journal Of Haematology. 100(4). 367–371. 3 indexed citations
15.
Walraven, Suzanna M. van, Anneke Brand, Martin B.A. Heemskerk, et al.. (2016). The increase of the global donor inventory is of limited benefit to patients of non-Northwestern European descent. Haematologica. 102(1). 176–183. 18 indexed citations
17.
19.
Görzer, Irene, Hubert G.M. Niesters, Jan J. Cornelissen, & Elisabeth Puchhammer‐Stöckl. (2006). Characterization of Epstein-Barr virus Type I variants based on linked polymorphism among EBNA3A, -3B, and -3C genes. Virus Research. 118(1-2). 105–114. 22 indexed citations
20.

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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