William van der Touw

1.8k total citations
25 papers, 1.3k citations indexed

About

William van der Touw is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, William van der Touw has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 7 papers in Oncology and 4 papers in Hematology. Recurrent topics in William van der Touw's work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (8 papers) and CAR-T cell therapy research (6 papers). William van der Touw is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (8 papers) and CAR-T cell therapy research (6 papers). William van der Touw collaborates with scholars based in United States, Croatia and Slovakia. William van der Touw's co-authors include Peter S. Heeger, Jonathan S. Bromberg, W. H. Kwan, Girdhari Lal, Estela Paz‐Artal, David T. Levy, Yaozhong Ding, Nan Zhang, Erwin P. Böttinger and Wenjun Ju and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

William van der Touw

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William van der Touw United States 12 985 243 230 127 104 25 1.3k
Caroline Mary France 16 611 0.6× 199 0.8× 117 0.5× 165 1.3× 141 1.4× 34 1.1k
Cédric Louvet France 21 1.1k 1.1× 424 1.7× 230 1.0× 45 0.4× 148 1.4× 27 1.6k
Sophie Hillion France 26 1.1k 1.2× 268 1.1× 148 0.6× 229 1.8× 173 1.7× 56 1.7k
L A Turka United States 16 1.1k 1.1× 217 0.9× 169 0.7× 184 1.4× 205 2.0× 20 1.4k
Shuiping Jiang United Kingdom 17 1.4k 1.4× 159 0.7× 299 1.3× 262 2.1× 202 1.9× 30 1.7k
Claire H. Sweenie United Kingdom 8 1.5k 1.5× 165 0.7× 192 0.8× 61 0.5× 57 0.5× 9 1.8k
Bethany Tesar United States 16 995 1.0× 274 1.1× 105 0.5× 101 0.8× 280 2.7× 32 1.5k
Dorit Fabricius Germany 13 710 0.7× 143 0.6× 243 1.1× 39 0.3× 67 0.6× 33 1.0k
Kylie E. Webster Australia 22 1.4k 1.4× 383 1.6× 214 0.9× 60 0.5× 141 1.4× 26 2.1k
Richard Mitchell Australia 18 419 0.4× 211 0.9× 148 0.6× 32 0.3× 134 1.3× 38 982

Countries citing papers authored by William van der Touw

Since Specialization
Citations

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

Fields of papers citing papers by William van der Touw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William van der Touw. 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 William van der Touw. The network helps show where William van der Touw may publish in the future.

Co-authorship network of co-authors of William van der Touw

This figure shows the co-authorship network connecting the top 25 collaborators of William van der Touw. A scholar is included among the top collaborators of William van der Touw 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 William van der Touw. William van der Touw 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
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Allen, Kevin J., Jason Li, Madhuri Vusirikala, et al.. (2023). Lintuzumab-Ac225, a CD33-Directed Antibody Radiotherapy, Targets AML in a Mutation Agnostic Manner. Blood. 142(Supplement 1). 5750–5750. 3 indexed citations
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Guo, Xuan, Tanel Mahlakõiv, Qian Ye, et al.. (2021). CBLB ablation with CRISPR/Cas9 enhances cytotoxicity of human placental stem cell-derived NK cells for cancer immunotherapy. Journal for ImmunoTherapy of Cancer. 9(3). e001975–e001975. 26 indexed citations
7.
Kang, Lin, Irene Raitman, Srinivas S. Somanchi, et al.. (2020). Human Placental CD34+-Derived Natural Killer Cells with High Affinity and Cleavage Resistant CD16 (CYNK-101) for ADCC Mediated Cancer Immunotherapy. Blood. 136(Supplement 1). 1–1. 1 indexed citations
8.
Touw, William van der, Lin Kang, Joseph D. Tario, et al.. (2019). Immune Monitoring of CD34+ Placental Cell Derived Natural Killer Cell Therapy (PNK-007) in Phase I Study of Multiple Myeloma. Blood. 134(Supplement_1). 4457–4457. 1 indexed citations
9.
Holstein, Sarah A., Sarah Cooley, Parameswaran Hari, et al.. (2019). Results of a Phase I Study of Pnk-007, Allogeneic, Off the Shelf NK Cell, Post Autologous Transplant in Multiple Myeloma (NCT02955550). Blood. 134(Supplement_1). 4451–4451. 8 indexed citations
10.
Chen, Huiming, William van der Touw, Kyeongah Kang, et al.. (2018). Blocking immunoinhibitory receptor LILRB2 reprograms tumor-associated myeloid cells and promotes antitumor immunity. Journal of Clinical Investigation. 128(12). 5647–5662. 176 indexed citations
11.
Touw, William van der, Kyeongah Kang, Yi Luan, et al.. (2018). Glatiramer Acetate Enhances Myeloid-Derived Suppressor Cell Function via Recognition of Paired Ig-like Receptor B. The Journal of Immunology. 201(6). 1727–1734. 15 indexed citations
12.
Touw, William van der, et al.. (2017). LILRB receptor-mediated regulation of myeloid cell maturation and function. Cancer Immunology Immunotherapy. 66(8). 1079–1087. 117 indexed citations
13.
Kwan, W. H., William van der Touw, Estela Paz‐Artal, Ming O. Li, & Peter S. Heeger. (2013). Signaling through C5a receptor and C3a receptor diminishes function of murine natural regulatory T cells. The Journal of Experimental Medicine. 210(2). 257–268. 179 indexed citations
14.
Cravedi, Paolo, William van der Touw, & Peter S. Heeger. (2013). Complement Regulation of T-Cell Alloimmunity. Seminars in Nephrology. 33(6). 565–574. 36 indexed citations
15.
Touw, William van der, Paolo Cravedi, W. H. Kwan, et al.. (2013). Cutting Edge: Receptors for C3a and C5a Modulate Stability of Alloantigen-Reactive Induced Regulatory T Cells. The Journal of Immunology. 190(12). 5921–5925. 105 indexed citations
16.
Touw, William van der, Bryna E. Burrell, Girdhari Lal, & Jonathan S. Bromberg. (2012). NK Cells are Required for Costimulatory Blockade Induced Tolerance to Vascularized Allografts. Transplantation. 94(6). 575–584. 19 indexed citations
17.
Kwan, W. H., William van der Touw, & Peter S. Heeger. (2012). Complement regulation of T cell immunity. Immunologic Research. 54(1-3). 247–253. 68 indexed citations
18.
Gehrie, Eric A., William van der Touw, Jonathan S. Bromberg, & Jordi Ochando. (2010). Plasmacytoid Dendritic Cells in Tolerance. Methods in molecular biology. 677. 127–147. 36 indexed citations
19.
Touw, William van der & Jonathan S. Bromberg. (2010). Natural Killer Cells and the Immune Response in Solid Organ Transplantation. American Journal of Transplantation. 10(6). 1354–1358. 42 indexed citations
20.
Lal, Girdhari, Nan Zhang, William van der Touw, et al.. (2009). Epigenetic Regulation of Foxp3 Expression in Regulatory T Cells by DNA Methylation. The Journal of Immunology. 182(1). 259–273. 452 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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