Thijs T. Wind

424 total citations
8 papers, 216 citations indexed

About

Thijs T. Wind is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thijs T. Wind has authored 8 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thijs T. Wind's work include CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immunotherapy and Immune Responses (2 papers). Thijs T. Wind is often cited by papers focused on CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immunotherapy and Immune Responses (2 papers). Thijs T. Wind collaborates with scholars based in Netherlands and United States. Thijs T. Wind's co-authors include Geke A.P. Hospers, Mathilde Jalving, Rudolf S.N. Fehrmann, Carolien P. Schröder, Jacco J. de Haan, Elisabeth G.E. de Vries, Arnau Vich Vila, Rinse K. Weersma, Ranko Gaćeša and Wayel H. Abdulahad and has published in prestigious journals such as Clinical Cancer Research, Frontiers in Immunology and Cancer and Metastasis Reviews.

In The Last Decade

Thijs T. Wind

8 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thijs T. Wind Netherlands	7	148	70	47	47	47	8	216
Camilo Garcia France	3	147 1.0×	57 0.8×	75 1.6×	21 0.4×	75 1.6×	10	238
Vincenzo Famiglietti Italy	9	219 1.5×	55 0.8×	92 2.0×	19 0.4×	26 0.6×	27	281
Gareth Rivalland Australia	10	112 0.8×	78 1.1×	98 2.1×	19 0.4×	69 1.5×	26	248
Yuequan Shi China	10	170 1.1×	43 0.6×	89 1.9×	13 0.3×	60 1.3×	27	265
Ningning Li China	8	97 0.7×	70 1.0×	55 1.2×	25 0.5×	35 0.7×	27	240
Jenny Lazarus United States	7	254 1.7×	121 1.7×	46 1.0×	20 0.4×	162 3.4×	11	348
Nobuhiro Torata Japan	12	150 1.0×	145 2.1×	43 0.9×	15 0.3×	53 1.1×	26	325
Serena Zanotta Italy	13	203 1.4×	86 1.2×	97 2.1×	31 0.7×	197 4.2×	22	393
Lu Pei China	10	73 0.5×	124 1.8×	50 1.1×	45 1.0×	42 0.9×	20	227
Mikiya Ishihara Japan	8	146 1.0×	65 0.9×	36 0.8×	20 0.4×	100 2.1×	35	234

Countries citing papers authored by Thijs T. Wind

Since Specialization

Citations

This map shows the geographic impact of Thijs T. Wind'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 Thijs T. Wind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thijs T. Wind more than expected).

Fields of papers citing papers by Thijs T. Wind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thijs T. Wind. 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 Thijs T. Wind. The network helps show where Thijs T. Wind may publish in the future.

Co-authorship network of co-authors of Thijs T. Wind

This figure shows the co-authorship network connecting the top 25 collaborators of Thijs T. Wind. A scholar is included among the top collaborators of Thijs T. Wind 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 Thijs T. Wind. Thijs T. Wind 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

Donk, Pim P. van de, Thijs T. Wind, Elly L. van der Veen, et al.. (2021). Interleukin-2 PET imaging in patients with metastatic melanoma before and during immune checkpoint inhibitor therapy. European Journal of Nuclear Medicine and Molecular Imaging. 48(13). 4369–4376. 35 indexed citations

Wind, Thijs T., Ingeborg Bosma, Miranda C.A. Kramer, et al.. (2021). Value of screening and follow‐up brain MRI scans in patients with metastatic melanoma. Cancer Medicine. 10(23). 8395–8404. 10 indexed citations

Wind, Thijs T., Michel van Kruchten, Ed Schuuring, et al.. (2020). Clinical utility of circulating tumor DNA as a response and follow-up marker in cancer therapy. Cancer and Metastasis Reviews. 39(3). 999–1013. 37 indexed citations

Wind, Thijs T., Ranko Gaćeša, Arnau Vich Vila, et al.. (2020). Gut microbial species and metabolic pathways associated with response to treatment with immune checkpoint inhibitors in metastatic melanoma. Melanoma Research. 30(3). 235–246. 44 indexed citations

Waaijer, Stijn J.H., Iris C. Kok, Frans V. Suurs, et al.. (2019). 89Zr-labeled Bispecific T-cell Engager AMG 211 PET Shows AMG 211 Accumulation in CD3-rich Tissues and Clear, Heterogeneous Tumor Uptake. Clinical Cancer Research. 25(12). 3517–3527. 42 indexed citations

Wind, Thijs T., Mathilde Jalving, Jacco J. de Haan, et al.. (2019). A large pooled analysis refines gene expression-based molecular subclasses in cutaneous melanoma. OncoImmunology. 8(3). 1558664–1558664. 1 indexed citations

Bisschop, Kees, Thijs T. Wind, Christian U. Blank, et al.. (2019). Association Between Pembrolizumab-related Adverse Events and Treatment Outcome in Advanced Melanoma: Results From the Dutch Expanded Access Program. Journal of Immunotherapy. 42(6). 208–214. 15 indexed citations

Abdulahad, Wayel H., Geke A.P. Hospers, Thijs T. Wind, et al.. (2018). Checks and Balances in Autoimmune Vasculitis. Frontiers in Immunology. 9. 315–315. 32 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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