Daniel Wilkinson

1.1k total citations
21 papers, 699 citations indexed

About

Daniel Wilkinson is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Daniel Wilkinson has authored 21 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 14 papers in Oncology and 4 papers in Genetics. Recurrent topics in Daniel Wilkinson's work include Cancer Immunotherapy and Biomarkers (9 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Daniel Wilkinson is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Daniel Wilkinson collaborates with scholars based in United States, Japan and Indonesia. Daniel Wilkinson's co-authors include Peter E. Fecci, Selena Lorrey, Jessica Waibl Polania, Pakawat Chongsathidkiet, Katherine Ryan, Matthew M. Grabowski, Eric W. Sankey, Alexandra Miggelbrink, Joshua Jackson and Ethan Srinivasan and has published in prestigious journals such as Immunity, The Journal of Immunology and Cancer Research.

In The Last Decade

Daniel Wilkinson

20 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wilkinson United States 13 377 290 168 154 88 21 699
Yuedi Wang China 8 300 0.8× 280 1.0× 196 1.2× 91 0.6× 52 0.6× 10 573
Changlin Yang United States 13 295 0.8× 263 0.9× 229 1.4× 247 1.6× 95 1.1× 46 660
Zineb Belcaid United States 13 405 1.1× 472 1.6× 148 0.9× 310 2.0× 72 0.8× 24 744
Farhad Dastmalchi United States 13 216 0.6× 169 0.6× 191 1.1× 215 1.4× 68 0.8× 22 551
Brandyn Castro United States 10 251 0.7× 157 0.5× 224 1.3× 177 1.1× 95 1.1× 21 622
Tina Verschuere Belgium 17 641 1.7× 404 1.4× 307 1.8× 273 1.8× 127 1.4× 21 1.0k
Leonel Ampie United States 10 227 0.6× 206 0.7× 122 0.7× 174 1.1× 31 0.4× 15 479
Ekaterina Friebel Switzerland 8 594 1.6× 358 1.2× 272 1.6× 231 1.5× 110 1.3× 11 987
Matthew K. Schoen United States 7 363 1.0× 127 0.4× 105 0.6× 138 0.9× 40 0.5× 12 538
Irina Fernandez United States 9 245 0.6× 194 0.7× 180 1.1× 101 0.7× 80 0.9× 9 478

Countries citing papers authored by Daniel Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wilkinson. A scholar is included among the top collaborators of Daniel Wilkinson 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 Daniel Wilkinson. Daniel Wilkinson 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
1.
Miggelbrink, Alexandra, Jessica Waibl Polania, Lucas P. Wachsmuth, et al.. (2025). Upregulation of TNFR2 Precedes TOX Expression by Exhausted T cells and Restricts Antitumor and Antiviral Immunity. Clinical Cancer Research. 32(4). 782–800. 1 indexed citations
2.
Polania, Jessica Waibl, William H. Tomaszewski, Lucas P. Wachsmuth, et al.. (2024). Antigen presentation by tumor-associated macrophages drives T cells from a progenitor exhaustion state to terminal exhaustion. Immunity. 58(1). 232–246.e6. 36 indexed citations
3.
Polania, Jessica Waibl, Lucas P. Wachsmuth, Selena Lorrey, et al.. (2024). Understanding the role of TNFR2 signaling in CD8 T cell exhaustion.. The Journal of Immunology. 212(1_Supplement). 1490_5509–1490_5509.
4.
Woroniecka, Karolina, Daniel Wilkinson, Aditya Mohan, et al.. (2023). CD8+ T cells maintain killing of MHC-I-negative tumor cells through the NKG2D–NKG2DL axis. Nature Cancer. 4(9). 1258–1272. 63 indexed citations
5.
Mehta, Nalini, Daniel Wilkinson, Tatiana Segura, et al.. (2023). IL7 and IL7 Flt3L co-expressing CAR T cells improve therapeutic efficacy in mouse EGFRvIII heterogeneous glioblastoma. Frontiers in Immunology. 14. 1085547–1085547. 26 indexed citations
6.
Wilkinson, Daniel, et al.. (2022). Laser ablation: Heating up the anti-tumor response in the intracranial compartment. Advanced Drug Delivery Reviews. 185. 114311–114311. 43 indexed citations
7.
Tomaszewski, William H., Xiuyu Cui, Jessica Waibl Polania, et al.. (2022). Abstract 1378: CD8 T cell mediated killing of MHC class 1 negative tumors requires antigen presenting myeloid cells and interferon gamma. Cancer Research. 82(12_Supplement). 1378–1378. 1 indexed citations
8.
Hotchkiss, Kelly, et al.. (2021). Enhancing T Cell Chemotaxis and Infiltration in Glioblastoma. Cancers. 13(21). 5367–5367. 23 indexed citations
9.
Polania, Jessica Waibl, et al.. (2021). Pushing Past the Blockade: Advancements in T Cell-Based Cancer Immunotherapies. Frontiers in Immunology. 12. 777073–777073. 12 indexed citations
10.
Miggelbrink, Alexandra, Joshua Jackson, Selena Lorrey, et al.. (2021). CD4 T-Cell Exhaustion: Does It Exist and What Are Its Roles in Cancer?. Clinical Cancer Research. 27(21). 5742–5752. 151 indexed citations
11.
Grabowski, Matthew M., Eric W. Sankey, Katherine Ryan, et al.. (2020). Immune suppression in gliomas. Journal of Neuro-Oncology. 151(1). 3–12. 208 indexed citations
12.
Lorrey, Selena, Pakawat Chongsathidkiet, Daniel Wilkinson, Cosette D. Champion, & Peter E. Fecci. (2020). Intracranial tumors lead to sequestration of T cells in the bone marrow. The Journal of Immunology. 204(1_Supplement). 165.26–165.26. 2 indexed citations
13.
Wilkinson, Daniel, Cosette D. Champion, Pakawat Chongsathidkiet, et al.. (2020). Bone marrow T cell sequestration as a novel mode of CNS immune privilege. The Journal of Immunology. 204(1_Supplement). 78.14–78.14. 1 indexed citations
14.
Woroniecka, Karolina, Kristen E. Rhodin, Cosette Dechant, et al.. (2019). 4-1BB Agonism Averts TIL Exhaustion and Licenses PD-1 Blockade in Glioblastoma and Other Intracranial Cancers. Clinical Cancer Research. 26(6). 1349–1358. 38 indexed citations
15.
Chongsathidkiet, Pakawat, Karolina Woroniecka, Cosette Dechant, et al.. (2019). BSCI-07. BONE MARROW T-CELL SEQUESTRATION IN THE SETTING OF BRAIN METASTASES. Neuro-Oncology Advances. 1(Supplement_1). i2–i2. 1 indexed citations
16.
Wilkinson, Daniel, Pakawat Chongsathidkiet, Cosette Dechant, & Peter E. Fecci. (2019). Sphingosine-1-phosphate receptor 1 (S1P1) loss mediates T cell sequestration in bone marrow in the setting of intracranial tumors: a novel mode of cancer-induced immunosuppression. The Journal of Immunology. 202(1_Supplement). 138.5–138.5. 1 indexed citations
17.
18.
Wang, Duncheng, et al.. (2016). IFN-β Facilitates Neuroantigen-Dependent Induction of CD25+ FOXP3+ Regulatory T Cells That Suppress Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 197(8). 2992–3007. 21 indexed citations
19.
Ghosh, Debjani, Alan D. Curtis, Daniel Wilkinson, & Mark D. Mannie. (2016). Depletion of CD4+ CD25+ regulatory T cells confers susceptibility to experimental autoimmune encephalomyelitis (EAE) in GM-CSF-deficient Csf2−/− mice. Journal of Leukocyte Biology. 100(4). 747–760. 16 indexed citations
20.

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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