Prashant Trikha

3.3k total citations
34 papers, 1.8k citations indexed

About

Prashant Trikha is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Prashant Trikha has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Oncology. Recurrent topics in Prashant Trikha's work include Immune Cell Function and Interaction (12 papers), Immune cells in cancer (8 papers) and Epigenetics and DNA Methylation (6 papers). Prashant Trikha is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Immune cells in cancer (8 papers) and Epigenetics and DNA Methylation (6 papers). Prashant Trikha collaborates with scholars based in United States, India and United Kingdom. Prashant Trikha's co-authors include William E. Carson, Mika Venojärvi, Chandan K. Sen, Savita Khanna, Sashwati Roy, Thomas K. Hunt, E. Christopher Ellison, Mohammad Athar, Dean A. Lee and Sheikh Raisuddin and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Blood.

In The Last Decade

Prashant Trikha

32 papers receiving 1.8k citations

Peers

Prashant Trikha

IMMUN

ONCOL

Wenjun Wang China

Ting Zhao China

Fulun Li China

J.‐P. Pujol France

Yunna Chen China

Jie Ma China

Meng Cao China

Zbigniew Pietrzkowski United States

Huiling Liu China

Wenjun Wang China

Prashant Trikha

828 ×1.2

348 ×0.6

IMMUN

538 ×1.1

ONCOL

298 ×1.3

162 ×0.9

Citations per year, relative to Prashant Trikha Prashant Trikha (= 1×) peers Wenjun Wang

Countries citing papers authored by Prashant Trikha

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Trikha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Trikha

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

All Works

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20 of 20 papers shown

Trikha, Prashant, et al.. (2025). Curcumin and resveratrol sensitizes TP53 mutant acute myeloid leukemia (AML) cell lines to venetoclax-induced apoptosis. Blood. 146(Supplement 1). 6793–6793.

Trikha, Prashant, et al.. (2021). A Multi-Omics Approach for Evaluating the Impact of Cytokines and Donor Source on NK Cell Expansion. Blood. 138(Supplement 1). 1769–1769.

Trikha, Prashant, Jena E. Moseman, Amanda R. Campbell, et al.. (2021). Defining the AHR-regulated transcriptome in NK cells reveals gene expression programs relevant to development and function. Blood Advances. 5(22). 4605–4618. 21 indexed citations

Ciurea, Stefan O., Piyanuch Kongtim, Doris Soebbing, et al.. (2021). Decrease post-transplant relapse using donor-derived expanded NK-cells. Leukemia. 36(1). 155–164. 65 indexed citations

Trikha, Prashant & Dean A. Lee. (2019). The role of AhR in transcriptional regulation of immune cell development and function. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1873(1). 188335–188335. 72 indexed citations

Schafer, Jolie, Travis C. Salzillo, Nitin Chakravarti, et al.. (2018). Education-dependent activation of glycolysis promotes the cytolytic potency of licensed human natural killer cells. Journal of Allergy and Clinical Immunology. 143(1). 346–358.e6. 62 indexed citations

Kararoudi, Meisam Naeimi, Hamid Dolatshad, Prashant Trikha, et al.. (2018). Generation of Knock-out Primary and Expanded Human NK Cells Using Cas9 Ribonucleoproteins. Journal of Visualized Experiments. 46 indexed citations

Campbell, Amanda R., Megan Duggan, Lorena P. Suarez‐Kelly, et al.. (2017). MICA-Expressing Monocytes Enhance Natural Killer Cell Fc Receptor-Mediated Antitumor Functions. Cancer Immunology Research. 5(9). 778–789. 15 indexed citations

Bertino, Erin M., Elizabeth L. McMichael, Xiaokui Mo, et al.. (2016). A Phase I Trial to Evaluate Antibody-Dependent Cellular Cytotoxicity of Cetuximab and Lenalidomide in Advanced Colorectal and Head and Neck Cancer. Molecular Cancer Therapeutics. 15(9). 2244–2250. 22 indexed citations

10.

Trikha, Prashant, Andrew Stiff, Shalini Gautam, et al.. (2016). Targeting myeloid-derived suppressor cells using a novel adenosine monophosphate-activated protein kinase (AMPK) activator. OncoImmunology. 5(9). e1214787–e1214787. 26 indexed citations

11.

Trikha, Prashant & William E. Carson. (2014). Signaling pathways involved in MDSC regulation. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1846(1). 55–65. 163 indexed citations

12.

Nasser, Mohd W., Zahida Qamri, Yadwinder S. Deol, et al.. (2011). S100A7 Enhances Mammary Tumorigenesis through Upregulation of Inflammatory Pathways. Cancer Research. 72(3). 604–615. 104 indexed citations

13.

Trikha, Prashant, Nidhi Sharma, René Opavský, et al.. (2010). E2f1–3 Are Critical for Myeloid Development. Journal of Biological Chemistry. 286(6). 4783–4795. 27 indexed citations

14.

Tsai, Shih‐Yin, René Opavský, Nidhi Sharma, et al.. (2008). Mouse development with a single E2F activator. Nature. 454(7208). 1137–1141. 74 indexed citations

15.

Opavský, René, Shu‐Huei Wang, Prashant Trikha, et al.. (2007). CpG Island Methylation in a Mouse Model of Lymphoma Is Driven by the Genetic Configuration of Tumor Cells. PLoS Genetics. 3(9). e167–e167. 34 indexed citations

16.

Sharma, Nidhi, et al.. (2006). Control of the p53-p21CIP1 Axis by E2f1, E2f2, and E2f3 Is Essential for G1/S Progression and Cellular Transformation. Journal of Biological Chemistry. 281(47). 36124–36131. 60 indexed citations

17.

Yu, Li, Chunhui Liu, Kristi L. Bennett, et al.. (2004). A NotI–EcoRV promoter library for studies of genetic and epigenetic alterations in mouse models of human malignancies. Genomics. 84(4). 647–660. 20 indexed citations

18.

Sharma, Nidhi, Prashant Trikha, Mohammad Athar, & Sheikh Raisuddin. (2001). Inhibition of benzo[a]pyrene- and cyclophoshamide-induced mutagenicity by Cinnamomum cassia. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 480-481. 179–188. 70 indexed citations

19.

Sharma, Nidhi, Prashant Trikha, Mohammad Athar, & Sheikh Raisuddin. (2000). IN VITRO INHIBITION OF CARCINOGEN-INDUCED MUTAGENICITY BYCASSIA OCCIDENTALISANDEMBLICA OFFICINALIS. Drug and Chemical Toxicology. 23(3). 477–484. 48 indexed citations

20.

Iqbal, Mohammad, Som D. Sharma, Ayesha Rahman, Prashant Trikha, & Mohammad Athar. (1999). Evidence that ferric nitrilotriacetate mediates oxidative stress by down-regulating DT-diaphorase activity: implications for carcinogenesis. Cancer Letters. 141(1-2). 151–157. 31 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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