Derek A. Wainwright

8.0k total citations · 3 hit papers
105 papers, 5.5k citations indexed

About

Derek A. Wainwright is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Derek A. Wainwright has authored 105 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 36 papers in Immunology and 29 papers in Genetics. Recurrent topics in Derek A. Wainwright's work include Glioma Diagnosis and Treatment (28 papers), Tryptophan and brain disorders (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (22 papers). Derek A. Wainwright is often cited by papers focused on Glioma Diagnosis and Treatment (28 papers), Tryptophan and brain disorders (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (22 papers). Derek A. Wainwright collaborates with scholars based in United States, Spain and China. Derek A. Wainwright's co-authors include Maciej S. Lesniak, Jennifer D. Wu, Kristen L. Lauing, Lijie Zhai, Yu Han, Mahua Dey, Atique U. Ahmed, Alex L. Tobias, Erik Ladomersky and Alan L. Chang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Derek A. Wainwright

97 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NK cell-based cancer immunotherapy: from basic biology to clinical development

2021 485 citations Derek A. Wainwright, Jennifer D. Wu et al. profile →
CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells

2016 479 citations Alan L. Chang, Jason Miska et al. Cancer Research profile →
Lactate dehydrogenase A regulates tumor-macrophage symbiosis to promote glioblastoma progression

2024 70 citations Fatima Khan, Yiyun Lin et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek A. Wainwright United States	36	2.4k	2.0k	1.6k	1.2k	618	105	5.5k
Atique U. Ahmed United States	40	1.4k 0.6×	1.7k 0.9×	2.4k 1.6×	1.4k 1.1×	101 0.2×	100	5.1k
Mahua Dey United States	29	1.5k 0.6×	1.5k 0.8×	1.0k 0.6×	1.3k 1.0×	152 0.2×	76	3.6k
Yu Han United States	28	1.3k 0.6×	1.1k 0.5×	987 0.6×	759 0.6×	88 0.1×	55	3.2k
Dolores Hambardzumyan United States	43	2.8k 1.2×	2.8k 1.4×	4.4k 2.8×	3.5k 2.9×	188 0.3×	94	9.5k
Kiavash Movahedi Belgium	27	3.8k 1.6×	1.6k 0.8×	1.6k 1.0×	264 0.2×	114 0.2×	50	5.6k
Irina V. Balyasnikova United States	36	902 0.4×	1.4k 0.7×	1.9k 1.2×	798 0.6×	82 0.1×	113	4.2k
Lizzia Raffaghello Italy	42	1.4k 0.6×	1.3k 0.6×	2.5k 1.6×	689 0.6×	60 0.1×	101	6.3k
Manfred Jugold Germany	17	746 0.3×	619 0.3×	1.3k 0.9×	256 0.2×	709 1.1×	26	3.1k
Michael Synowitz Germany	33	1.4k 0.6×	726 0.4×	1.3k 0.8×	1.3k 1.1×	45 0.1×	116	4.3k
Tobey J. MacDonald United States	45	501 0.2×	1.2k 0.6×	3.2k 2.1×	2.8k 2.2×	78 0.1×	147	6.4k

Countries citing papers authored by Derek A. Wainwright

Since Specialization

Citations

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

Fields of papers citing papers by Derek A. Wainwright

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek A. Wainwright. 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 Derek A. Wainwright. The network helps show where Derek A. Wainwright may publish in the future.

Co-authorship network of co-authors of Derek A. Wainwright

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Caetano‐Silva, Maria Elisa, Chia‐Hao Lin, Derek A. Wainwright, et al.. (2024). Aging amplifies a gut microbiota immunogenic signature linked to heightened inflammation. Aging Cell. 23(8). e14190–e14190. 21 indexed citations

Wainwright, Derek A., et al.. (2024). Immune Checkpoint Inhibitors in Glioblastoma IDHwt Treatment: A Systematic Review. Cancers. 16(24). 4148–4148. 3 indexed citations

Segura‐Collar, Berta, Diego Megı́as, Carlos E. de Andrea, et al.. (2024). NKG2C/KLRC2 tumor cell expression enhances immunotherapeutic efficacy against glioblastoma. Journal for ImmunoTherapy of Cancer. 12(8). e009210–e009210. 5 indexed citations

Khan, Fatima, Yiyun Lin, Heba Ali, et al.. (2024). Lactate dehydrogenase A regulates tumor-macrophage symbiosis to promote glioblastoma progression. Nature Communications. 15(1). 1987–1987. 70 indexed citations breakdown →

Prabhu, Vikram C., et al.. (2023). Anti‐aquaporin‐4 immunoglobulin G/anti‐myelin oligodendrocyte glycoprotein immunoglobulin G double‐positive paraneoplastic neurological syndrome in a patient with triple‐negative breast cancer. Clinical and Experimental Neuroimmunology. 15(1). 55–60.

Nguyen, Teresa T., Sanjay K. Singh, Yisel Rivera-Molina, et al.. (2022). Reshaping the tumor microenvironment with oncolytic viruses, positive regulation of the immune synapse, and blockade of the immunosuppressive oncometabolic circuitry. Journal for ImmunoTherapy of Cancer. 10(7). e004935–e004935. 35 indexed citations

Xuan, Wenjing, Wen-Hao Hsu, Fatima Khan, et al.. (2022). Circadian Regulator CLOCK Drives Immunosuppression in Glioblastoma. Cancer Immunology Research. 10(6). 770–784. 80 indexed citations

Dhar, Payal, Zhe Ji, Lei Huang, et al.. (2021). Tumor-derived NKG2D ligand sMIC reprograms NK cells to an inflammatory phenotype through CBM signalosome activation. Communications Biology. 4(1). 905–905. 12 indexed citations

Li, Hongjin, Tingting Liu, Mark B. Lockwood, et al.. (2020). Systematic Review of the Kynurenine Pathway and Psychoneurological Symptoms Among Adult Cancer Survivors. Biological Research For Nursing. 22(4). 472–484. 16 indexed citations

10.

Oh, Michael S., Derek A. Wainwright, Nisha Mohindra, et al.. (2020). The Impact of Beta Blockers on Survival Outcomes in Patients With Non–small-cell Lung Cancer Treated With Immune Checkpoint Inhibitors. Clinical Lung Cancer. 22(1). e57–e62. 57 indexed citations

11.

Zhang, Jinyu, et al.. (2019). Antibody targeting tumor-derived soluble NKG2D ligand sMIC provides dual co-stimulation of CD8 T cells and enables sMIC+ tumors respond to PD1/PD-L1 blockade therapy. Journal for ImmunoTherapy of Cancer. 7(1). 223–223. 25 indexed citations

12.

Zhai, Lijie, Erik Ladomersky, Kristen L. Lauing, et al.. (2017). Infiltrating T Cells Increase IDO1 Expression in Glioblastoma and Contribute to Decreased Patient Survival. Clinical Cancer Research. 23(21). 6650–6660. 144 indexed citations

13.

Zhai, Lijie, Erik Ladomersky, Kristen L. Lauing, et al.. (2017). Non-tumor cell IDO1 predominantly contributes to enzyme activity and response to CTLA-4/PD-L1 inhibition in mouse glioblastoma. Brain Behavior and Immunity. 62. 24–29. 42 indexed citations

14.

Chang, Alan L., Jason Miska, Derek A. Wainwright, et al.. (2016). CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells. Cancer Research. 76(19). 5671–5682. 479 indexed citations breakdown →

15.

Wainwright, Derek A., Alan L. Chang, Mahua Dey, et al.. (2014). Durable Therapeutic Efficacy Utilizing Combinatorial Blockade against IDO, CTLA-4, and PD-L1 in Mice with Brain Tumors. Clinical Cancer Research. 20(20). 5290–5301. 448 indexed citations

16.

Wainwright, Derek A., Mahua Dey, Alan L. Chang, & Maciej S. Lesniak. (2013). Targeting Tregs in Malignant Brain Cancer: Overcoming IDO. Frontiers in Immunology. 4. 116–116. 103 indexed citations

17.

Dey, Mahua, Alan L. Chang, Derek A. Wainwright, et al.. (2013). Heme oxygenase-1 protects regulatory T cells from hypoxia-induced cellular stress in an experimental mouse brain tumor model. Journal of Neuroimmunology. 266(1-2). 33–42. 14 indexed citations

18.

Wainwright, Derek A., Irina V. Balyasnikova, Alan L. Chang, et al.. (2012). IDO Expression in Brain Tumors Increases the Recruitment of Regulatory T Cells and Negatively Impacts Survival. Clinical Cancer Research. 18(22). 6110–6121. 378 indexed citations

19.

Xin, Junping, et al.. (2010). IL-10 within the CNS is necessary for CD4+ T cells to mediate neuroprotection. Brain Behavior and Immunity. 25(5). 820–829. 67 indexed citations

20.

Ahmed, Atique U., Cleo E. Rolle, Matthew A. Tyler, et al.. (2010). Bone Marrow Mesenchymal Stem Cells Loaded With an Oncolytic Adenovirus Suppress the Anti-adenoviral Immune Response in the Cotton Rat Model. Molecular Therapy. 18(10). 1846–1856. 58 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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