Jan W. Gratama

11.8k total citations · 1 hit paper
216 papers, 7.6k citations indexed

About

Jan W. Gratama is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jan W. Gratama has authored 216 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Immunology, 61 papers in Oncology and 42 papers in Molecular Biology. Recurrent topics in Jan W. Gratama's work include Immune Cell Function and Interaction (33 papers), Cytomegalovirus and herpesvirus research (29 papers) and T-cell and B-cell Immunology (29 papers). Jan W. Gratama is often cited by papers focused on Immune Cell Function and Interaction (33 papers), Cytomegalovirus and herpesvirus research (29 papers) and T-cell and B-cell Immunology (29 papers). Jan W. Gratama collaborates with scholars based in Netherlands, Italy and United States. Jan W. Gratama's co-authors include Stefan Sleijfer, C. B. H. W. Lamers, Jaco Kraan, Reno Debets, Jan J. Cornelissen, R. L. H. Bolhuis, Bob Löwenberg, Ingemar Ernberg, Joost W. J. van Esser and D. Robert Sutherland and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Jan W. Gratama

205 papers receiving 7.4k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Treatment of Metastatic Renal Cell Carcinoma With CAIX CAR-engineered T cells: Clinical Evaluation and Management of On-target Toxicity

2013 561 citations C. B. H. W. Lamers, Stefan Sleijfer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan W. Gratama Netherlands	48	3.7k	2.1k	1.6k	1.2k	1.1k	216	7.6k
Michael A. Nalesnik United States	59	4.8k 1.3×	1.9k 0.9×	2.1k 1.3×	2.9k 2.3×	537 0.5×	220	12.7k
Edward K. Geissler Germany	53	2.6k 0.7×	2.7k 1.3×	3.7k 2.3×	1.0k 0.8×	418 0.4×	263	10.4k
Claudio Tripodo Italy	55	2.8k 0.8×	4.6k 2.2×	3.0k 1.9×	787 0.6×	830 0.7×	245	10.5k
Svetomir N. Markovic United States	60	6.9k 1.9×	4.0k 1.9×	3.4k 2.1×	988 0.8×	1.1k 1.0×	349	12.2k
Gert Riethmüller Germany	47	5.1k 1.4×	3.3k 1.6×	3.1k 1.9×	561 0.5×	572 0.5×	112	10.4k
Roland L. Bassett United States	45	3.0k 0.8×	2.2k 1.1×	1.9k 1.2×	904 0.7×	595 0.5×	287	9.2k
Jin Seok Kim South Korea	38	1.8k 0.5×	1.3k 0.6×	2.0k 1.2×	581 0.5×	1.2k 1.1×	410	6.5k
Jeffrey J. Molldrem United States	46	3.4k 0.9×	4.1k 1.9×	1.6k 1.0×	1.0k 0.8×	3.8k 3.3×	163	8.5k
John A. Thompson United States	40	9.2k 2.5×	4.3k 2.0×	3.4k 2.1×	1.7k 1.4×	516 0.5×	111	12.4k
Gunnar Kvalheim Norway	43	2.9k 0.8×	1.8k 0.9×	1.7k 1.0×	226 0.2×	595 0.5×	173	5.5k

Countries citing papers authored by Jan W. Gratama

Since Specialization

Citations

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

Fields of papers citing papers by Jan W. Gratama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan W. Gratama

This figure shows the co-authorship network connecting the top 25 collaborators of Jan W. Gratama. A scholar is included among the top collaborators of Jan W. Gratama 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 W. Gratama. Jan W. Gratama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mao, Yifei, Marjolein A. Heuvelmans, Daiwei Han, et al.. (2025). Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset. European Journal of Radiology. 191. 112290–112290.

Koning, Harry J. de, Marleen Vonder, Jan W. Gratama, et al.. (2024). Short-term impact of cardiovascular screening by traditional risk assessment or coronary artery calcium score on health-related quality of life: the ROBINSCA trial. European Heart Journal Open. 4(5). oeae080–oeae080.

Heuvelmans, Marjolein A., Carlijn M. van der Aalst, Sytse F. Oudkerk, et al.. (2024). Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate. European Journal of Cancer. 216. 115214–115214. 2 indexed citations

Heuvelmans, Marjolein A., et al.. (2024). MA02.07 AI as Primary Reader in 4-IN-THE-LUNG-RUN Lung Cancer Screening Trial: Impact on Negative Misclassification and Referral Rate. Journal of Thoracic Oncology. 19(10). S58–S58. 1 indexed citations

Heuvelmans, Marjolein A., et al.. (2023). EP04.04-06 Low-Dose CT Iterative Reconstructions can Impact Lung Nodule Measurements and Type Classification. Journal of Thoracic Oncology. 18(11). S463–S464.

Gratama, Jan W., et al.. (2023). MA19.08 AI Can Greatly Reduce Radiologist Workload if Used as a First Read Filter to Rule-Out Negative Cases in Lung Cancer Screening. Journal of Thoracic Oncology. 18(11). S172–S173.

Pundziūtė, Gabija, Carlijn M. van der Aalst, Jan W. Gratama, et al.. (2022). Early detection of obstructive coronary artery disease in the asymptomatic high-risk population: objectives and study design of the EARLY-SYNERGY trial. American Heart Journal. 246. 166–177. 4 indexed citations

Hirsch, Alexander, M. G. Myriam Hunink, Maarten J. Cramer, et al.. (2022). Addition of FFRct in the diagnostic pathway of patients with stable chest pain to reduce unnecessary invasive coronary angiography (FUSION). Netherlands Heart Journal. 31(2). 52–60. 2 indexed citations

Harst, Pim van der, Rykel van Bruggen, Jan W. Gratama, et al.. (2022). The Diagnostic and Prognostic Value of Coronary Calcium Scoring in Stable Chest Pain Patients: A Narrative Review. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 194(3). 257–265. 7 indexed citations

10.

Zaag–Loonen, Hester J. van der, et al.. (2015). Verwijzing voor mammogram vaak niet volgens richtlijn. Nederlandsch tijdschrift voor geneeskunde/Nederlands tijdschrift voor geneeskunde/NTvG-databank. 159. 1 indexed citations

11.

Onstenk, Wendy, Jaco Kraan, Bianca Mostert, et al.. (2014). Improved Circulating Tumor Cell Detection by a Combined EpCAM and MCAM CellSearch Enrichment Approach in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy. Molecular Cancer Therapeutics. 14(3). 821–827. 47 indexed citations

12.

Strijbos, Michiel, Claudia A. Snijder, Jaco Kraan, et al.. (2010). Levels of circulating endothelial cells in normotensive and severe preeclamptic pregnancies. Cytometry Part B Clinical Cytometry. 78B(6). 382–386. 9 indexed citations

13.

Bienfait, Henri P., et al.. (2009). Screening for aneurysm of the abdominal aorta: prevalence in patients with stroke or TIA. European Journal of Neurology. 16(5). 602–607. 6 indexed citations

14.

Brando, Bruno, Arianna Gatti, Rosa Chianese, & Jan W. Gratama. (2006). Twenty years of external quality assurance in clinical cell analysis — A tribute to Jean‐Luc D'Hautcourt. Cytometry Part B Clinical Cytometry. 72B(1). 2–7. 5 indexed citations

15.

Heijnen, Ingmar, David Barnett, Maria Arroz, et al.. (2004). Enumeration of antigen‐specific CD8⁺ T lymphocytes by single‐platform, HLA tetramer‐based flow cytometry: A European multicenter evaluation. Cytometry Part B Clinical Cytometry. 62B(1). 1–13. 16 indexed citations

16.

Miotti, Silvia, Donatella Negri, Olga Valota, et al.. (1999). Level of anti-mouse-antibody response induced by bi-specific monoclonal antibody OC/TR in ovarian-carcinoma patients is associated with longer survival. International Journal of Cancer. 84(1). 62–68. 35 indexed citations

17.

Keeney, Michael, Jan W. Gratama, Ian Chin‐Yee, & D. Robert Sutherland. (1998). Isotype controls in the analysis of lymphocytes and CD34+ stem and progenitor cells by flow cytometry?time to let go!. Cytometry. 34(6). 280–283. 66 indexed citations

18.

Keeney, M., Jan W. Gratama, Ian Chin‐Yee, & D. Robert Sutherland. (1998). Isotype controls in the analysis of lymphocytes and CD34+ stem and progenitor cells by flow cytometry—time to let go!. Cytometry. 34(6). 280–283. 1 indexed citations

19.

Bolhuis, R. L. H., Hennie R. Hoogenboom, & Jan W. Gratama. (1996). Targeting of peripheral blood T lymphocytes. Springer Seminars in Immunopathology. 18(2). 211–226. 11 indexed citations

20.

Gratama, Jan W., M. A. P. Oosterveer, Willem E. Fibbe, et al.. (1992). Epstein-Barr virus infection in allogeneic marrow grafting: lessons for transplant physicians and virologists. Annals of Hematology. 64(S1). A162–A165. 8 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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