Thomas H. Wesselink

666 total citations
8 papers, 468 citations indexed

About

Thomas H. Wesselink is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Thomas H. Wesselink has authored 8 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in Thomas H. Wesselink's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Thomas H. Wesselink is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Thomas H. Wesselink collaborates with scholars based in Netherlands, Germany and United States. Thomas H. Wesselink's co-authors include Natasja A. M. Kragten, Regina Stark, Felix M. Behr, Klaas P. J. M. van Gisbergen, René A. W. van Lier, Ramon Arens, Loreto Parga‐Vidal, Teunis J. P. van Dam, Pleun Hombrink and Friedrich Koch‐Nolte and has published in prestigious journals such as Nature Immunology, Frontiers in Immunology and European Journal of Immunology.

In The Last Decade

Thomas H. Wesselink

8 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas H. Wesselink Netherlands	7	402	113	44	39	37	8	468
Chaoyu Ma United States	12	442 1.1×	187 1.7×	96 2.2×	28 0.7×	39 1.1×	18	553
Loreto Parga‐Vidal Netherlands	7	355 0.9×	115 1.0×	50 1.1×	7 0.2×	26 0.7×	9	432
Hristo Georgiev Germany	10	299 0.7×	112 1.0×	52 1.2×	12 0.3×	18 0.5×	18	357
Adam Winterhalter Australia	6	264 0.7×	75 0.7×	55 1.3×	76 1.9×	57 1.5×	8	356
Davide Botta United States	7	224 0.6×	55 0.5×	37 0.8×	27 0.7×	24 0.6×	13	309
Cintia L. Araujo Furlan Argentina	6	253 0.6×	206 1.8×	56 1.3×	70 1.8×	95 2.6×	8	401
Catharina Schütz Germany	7	159 0.4×	43 0.4×	39 0.9×	17 0.4×	51 1.4×	14	259
Madhav Kishore United Kingdom	7	250 0.6×	53 0.5×	69 1.6×	6 0.2×	29 0.8×	8	352
Nadia Mensali Norway	9	150 0.4×	112 1.0×	65 1.5×	7 0.2×	26 0.7×	16	252
Neeraja Kulkarni India	8	260 0.6×	72 0.6×	60 1.4×	4 0.1×	54 1.5×	11	379

Countries citing papers authored by Thomas H. Wesselink

Since Specialization

Citations

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

Fields of papers citing papers by Thomas H. Wesselink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas H. Wesselink. 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 Thomas H. Wesselink. The network helps show where Thomas H. Wesselink may publish in the future.

Co-authorship network of co-authors of Thomas H. Wesselink

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

All Works

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8 of 8 papers shown

Parga‐Vidal, Loreto, Felix M. Behr, Natasja A. M. Kragten, et al.. (2021). Hobit identifies tissue-resident memory T cell precursors that are regulated by Eomes. Science Immunology. 6(62). 62 indexed citations

Behr, Felix M., Loreto Parga‐Vidal, Natasja A. M. Kragten, et al.. (2020). Tissue-resident memory CD8+ T cells shape local and systemic secondary T cell responses. Nature Immunology. 21(9). 1070–1081. 118 indexed citations

Wesselink, Thomas H., Felix M. Behr, Natasja A. M. Kragten, et al.. (2020). Murine iNKT cells are depleted by liver damage via activation of P2RX7. European Journal of Immunology. 50(10). 1515–1524. 9 indexed citations

Behr, Felix M., et al.. (2020). Circulating memory CD8 ⁺ T cells are limited in forming CD103 ⁺ tissue‐resident memory T cells at mucosal sites after reinfection. European Journal of Immunology. 51(1). 151–166. 22 indexed citations

Abdelaal, Tamim, Iris N. Pardieck, Thomas H. Wesselink, et al.. (2020). Memory CD8+ T cell heterogeneity is primarily driven by pathogen-specific cues and additionally shaped by the tissue environment. iScience. 24(1). 101954–101954. 6 indexed citations

Behr, Felix M., Natasja A. M. Kragten, Thomas H. Wesselink, et al.. (2019). Blimp-1 Rather Than Hobit Drives the Formation of Tissue-Resident Memory CD8+ T Cells in the Lungs. Frontiers in Immunology. 10. 400–400. 79 indexed citations

Stark, Regina, Thomas H. Wesselink, Felix M. Behr, et al.. (2018). T _RM maintenance is regulated by tissue damage via P2RX7. Science Immunology. 3(30). 106 indexed citations

Kragten, Natasja A. M., Felix M. Behr, Felipe A. Vieira Braga, et al.. (2018). Blimp‐1 induces and Hobit maintains the cytotoxic mediator granzyme B in CD8 T cells. European Journal of Immunology. 48(10). 1644–1662. 66 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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