Tom Hofland

601 total citations
18 papers, 430 citations indexed

About

Tom Hofland is a scholar working on Immunology, Genetics and Oncology. According to data from OpenAlex, Tom Hofland has authored 18 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 12 papers in Genetics and 9 papers in Oncology. Recurrent topics in Tom Hofland's work include Chronic Lymphocytic Leukemia Research (12 papers), Immune Cell Function and Interaction (10 papers) and CAR-T cell therapy research (9 papers). Tom Hofland is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Immune Cell Function and Interaction (10 papers) and CAR-T cell therapy research (9 papers). Tom Hofland collaborates with scholars based in Netherlands, United States and United Kingdom. Tom Hofland's co-authors include Arnon P. Kater, Sanne H. Tonino, Eric Eldering, Jos A. G. van Strijp, Reindert Nijland, Mark‐David Levin, Iris de Weerdt, Anne W. J. Martens, David L. Porter and Gerritje J. W. van der Windt and has published in prestigious journals such as Blood, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Tom Hofland

16 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Hofland Netherlands	9	235	208	181	97	95	18	430
Miki Ando Japan	12	233 1.0×	151 0.7×	44 0.2×	152 1.6×	130 1.4×	65	453
Isacco Ferrarini Italy	12	118 0.5×	82 0.4×	79 0.4×	77 0.8×	104 1.1×	30	301
Juying Wei China	12	212 0.9×	81 0.4×	39 0.2×	105 1.1×	75 0.8×	44	380
Kyle Wright United States	9	178 0.8×	140 0.7×	22 0.1×	107 1.1×	84 0.9×	22	359
Azam Roohi Iran	11	66 0.3×	116 0.6×	57 0.3×	168 1.7×	32 0.3×	23	355
Sebastian Klobuch Germany	14	224 1.0×	194 0.9×	20 0.1×	137 1.4×	22 0.2×	36	463
Martina Magni Italy	10	136 0.6×	64 0.3×	15 0.1×	144 1.5×	42 0.4×	19	324
Jenny Sun United States	9	35 0.1×	164 0.8×	47 0.3×	113 1.2×	39 0.4×	22	328
Noah Kornblum United States	10	155 0.7×	80 0.4×	34 0.2×	133 1.4×	19 0.2×	52	384
Gleb Turchinovich United Kingdom	11	94 0.4×	708 3.4×	33 0.2×	118 1.2×	21 0.2×	13	819

Countries citing papers authored by Tom Hofland

Since Specialization

Citations

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

Fields of papers citing papers by Tom Hofland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Hofland

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

All Works

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18 of 18 papers shown

Hofland, Tom, Callum Hall, R. Houston Thompson, et al.. (2025). Primate retroelement exonization and sexually dimorphic IL13RA1 transcription tune type 2 immune responses. Science Immunology. 10(109). eadr1105–eadr1105.

Hofland, Tom, et al.. (2023). CD4+ T cell memory is impaired by species-specific cytotoxic differentiation, but not by TCF-1 loss. Frontiers in Immunology. 14. 1168125–1168125. 1 indexed citations

Abbott, Rachel, Tom Hofland, Michael J. Crowther, et al.. (2022). 343 Identification of tumor-reactive T cells targeting melanoma Dark Antigens™ validates this novel class of targets for development of immunotherapies. Regular and Young Investigator Award Abstracts. A361–A361.

Hofland, Tom, Anne W. J. Martens, Renate de Boer, et al.. (2020). Human CXCR5 ⁺ PD‐1 ⁺ CD8 T cells in healthy individuals and patients with hematologic malignancies. European Journal of Immunology. 51(3). 703–713. 10 indexed citations

Hofland, Tom, Iris de Weerdt, Aldo Jongejan, et al.. (2020). Functional Differences Between EBV‐ and CMV‐Specific CD8⁺ T cells Demonstrate Heterogeneity of T cell Dysfunction in CLL. HemaSphere. 4(2). e337–e337. 4 indexed citations

Weerdt, Iris de, Tom Hofland, Renate de Boer, et al.. (2019). Distinct immune composition in lymph node and peripheral blood of CLL patients is reshaped during venetoclax treatment. Blood Advances. 3(17). 2642–2652. 79 indexed citations

Hofland, Tom, Iris de Weerdt, Renate de Boer, et al.. (2019). PB1877 DISSECTION OF THE EFFECTS OF JAK AND BTK INHIBITORS ON THE FUNCTIONALITY OF HEALTHY AND MALIGNANT LYMPHOCYTES. HemaSphere. 3(S1). 855–855. 1 indexed citations

Martens, Anne W. J., Joseph A. Fraietta, Tom Hofland, et al.. (2019). Chronic lymphocytic leukemia cells impair mitochondrial fitness in CD8+ T cells and impede CAR T-cell efficacy. Blood. 134(1). 44–58. 138 indexed citations

Hofland, Tom, Renate de Boer, Iris de Weerdt, et al.. (2019). Natural Killer Cell Hypo-responsiveness in Chronic Lymphocytic Leukemia can be Circumvented In Vitro by Adequate Activating Signaling. HemaSphere. 3(6). e308–e308. 20 indexed citations

10.

Hofland, Tom, Eric Eldering, Arnon P. Kater, & Sanne H. Tonino. (2019). Engaging Cytotoxic T and NK Cells for Immunotherapy in Chronic Lymphocytic Leukemia. International Journal of Molecular Sciences. 20(17). 4315–4315. 21 indexed citations

11.

Hofland, Tom, Iris de Weerdt, Renate de Boer, et al.. (2019). Dissection of the Effects of JAK and BTK Inhibitors on the Functionality of Healthy and Malignant Lymphocytes. The Journal of Immunology. 203(8). 2100–2109. 16 indexed citations

12.

Weerdt, Iris de, Tom Hofland, Roeland Lameris, et al.. (2018). Improving CLL Vγ9Vδ2-T–cell fitness for cellular therapy by ex vivo activation and ibrutinib. Blood. 132(21). 2260–2272. 40 indexed citations

13.

Weerdt, Iris de, Tom Hofland, Johan A. Dobber, et al.. (2018). First Evidence of Restoration of T and NK Cell Compartment after Venetoclax Treatment. Blood. 132(Supplement 1). 1860–1860. 5 indexed citations

14.

Martens, Anne W. J., Joseph A. Fraietta, Tom Hofland, et al.. (2018). Chronic Lymphocytic Leukemia Cells Impair Mitochondrial Fitness in CD8+ T Cells and Impede CAR T Cell Efficacy. Blood. 132(Supplement 1). 235–235. 4 indexed citations

15.

Villa, Nancy, Ana Lemos de Matos, Tom Hofland, et al.. (2016). Ex Vivo Oncolytic Virotherapy with Myxoma Virus Arms Multiple Allogeneic Bone Marrow Transplant Leukocytes to Enhance Graft versus Tumor. Molecular Therapy — Oncolytics. 4. 31–40. 26 indexed citations

16.

Hofland, Tom, Iris de Weerdt, Ester B. M. Remmerswaal, et al.. (2015). EBV-Specific CD8+ T-Cells Are Not Functionally Impaired in Chronic Lymphocytic Leukemia. Blood. 126(23). 1723–1723. 1 indexed citations

17.

Weerdt, Iris de, Tom Hofland, Roeland Lameris, et al.. (2015). Chronic Lymphocytic Leukemia (CLL) Cells Are Susceptible to γδ-T Cell Mediated Killing, Provided CLL-Derived γδ-T Cell Dysfunction Can be Reversed. Blood. 126(23). 2914–2914. 4 indexed citations

18.

Nijland, Reindert, Tom Hofland, & Jos A. G. van Strijp. (2014). Recognition of LPS by TLR4: Potential for Anti-Inflammatory Therapies. Marine Drugs. 12(7). 4260–4273. 60 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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