Prabhakar Chalise

1.8k total citations
68 papers, 958 citations indexed

About

Prabhakar Chalise is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Prabhakar Chalise has authored 68 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Prabhakar Chalise's work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (9 papers) and Cancer Genomics and Diagnostics (6 papers). Prabhakar Chalise is often cited by papers focused on Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (9 papers) and Cancer Genomics and Diagnostics (6 papers). Prabhakar Chalise collaborates with scholars based in United States, Nepal and United Kingdom. Prabhakar Chalise's co-authors include Brooke L. Fridley, Navneet K. Dhillon, Balaji Krishnamachary, Leslie Spikes, Ashok Kumar, Jianghua He, Yi Zhong, Devin C. Koestler, Jill Hamilton‐Reeves and Moben Mirza and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Prabhakar Chalise

62 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhakar Chalise United States 18 423 129 128 116 114 68 958
Andreas Peter Germany 21 493 1.2× 94 0.7× 202 1.6× 95 0.8× 185 1.6× 85 1.3k
Giuditta Benincasa Italy 24 651 1.5× 88 0.7× 224 1.8× 217 1.9× 114 1.0× 59 1.3k
Junqiu Yue China 19 474 1.1× 158 1.2× 74 0.6× 164 1.4× 114 1.0× 48 991
Jiantao Wang China 22 496 1.2× 143 1.1× 172 1.3× 207 1.8× 76 0.7× 102 1.8k
Yanmei Huang China 16 167 0.4× 121 0.9× 149 1.2× 66 0.6× 212 1.9× 45 994
Baoshan Ma China 11 303 0.7× 80 0.6× 44 0.3× 95 0.8× 152 1.3× 33 758
Hua Jiang China 20 562 1.3× 393 3.0× 100 0.8× 132 1.1× 147 1.3× 112 1.6k
Limin Duan China 15 366 0.9× 212 1.6× 51 0.4× 142 1.2× 303 2.7× 36 1.1k
Yanling Lv China 18 590 1.4× 189 1.5× 64 0.5× 306 2.6× 74 0.6× 62 1.2k

Countries citing papers authored by Prabhakar Chalise

Since Specialization
Citations

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

Fields of papers citing papers by Prabhakar Chalise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhakar Chalise

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhakar Chalise. A scholar is included among the top collaborators of Prabhakar Chalise 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 Prabhakar Chalise. Prabhakar Chalise 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.
2.
Walsh, Ryan, et al.. (2025). Combined Omipalisib and MAPK Inhibition Suppress PDAC Growth. Cancers. 17(7). 1152–1152. 1 indexed citations
3.
Chalise, Prabhakar, et al.. (2025). Reconstructing patient level survival data from published Kaplan-Meier curves. Contemporary Clinical Trials Communications. 47. 101542–101542.
4.
Mahajan, Aatish, Leslie Spikes, Balaji Krishnamachary, et al.. (2023). Persistent circulation of soluble and extracellular vesicle‐linked Spike protein in individuals with postacute sequelae of COVID‐19. Journal of Medical Virology. 95(2). e28568–e28568. 68 indexed citations
5.
Kasi, Anup, Harsh B. Pathak, Stephen Hyter, et al.. (2023). Circulating Tumor Cell Subpopulations Predict Treatment Outcome in Pancreatic Ductal Adenocarcinoma (PDAC) Patients. Cells. 12(18). 2266–2266. 6 indexed citations
6.
Chalise, Prabhakar, Deukwoo Kwon, Brooke L. Fridley, & Qianxing Mo. (2023). Statistical Methods for Integrative Clustering of Multi-omics Data. Methods in molecular biology. 2629. 73–93. 3 indexed citations
7.
D’Silva, Linda, Prabhakar Chalise, Michael Rippee, & Hannes Devos. (2022). Challenging the Vestibular System Affects Gait Speed and Cognitive Workload in Chronic Mild Traumatic Brain Injury and Healthy Adults. Frontiers in Neurology. 13. 819169–819169. 4 indexed citations
8.
Chalise, Prabhakar, et al.. (2022). Abstract 4027: Dual MEK and AKT inhibition suppresses pancreatic cancer growth and migration. Cancer Research. 82(12_Supplement). 4027–4027. 2 indexed citations
9.
Wilkins, Heather, Xiaowan Wang, Scott J. Koppel, et al.. (2021). Bioenergetic and inflammatory systemic phenotypes in Alzheimer’s disease APOE ε4‐carriers. Aging Cell. 20(5). e13356–e13356. 12 indexed citations
10.
Krishnamachary, Balaji, Aatish Mahajan, Ashok Kumar, et al.. (2021). Extracellular Vesicle TGF-β1 Is Linked to Cardiopulmonary Dysfunction in Human Immunodeficiency Virus. American Journal of Respiratory Cell and Molecular Biology. 65(4). 413–429. 13 indexed citations
11.
Fabian, Carol J., Seema A. Khan, Judy E. Garber, et al.. (2020). Randomized Phase IIB Trial of the Lignan Secoisolariciresinol Diglucoside in Premenopausal Women at Increased Risk for Development of Breast Cancer. Cancer Prevention Research. 13(7). 623–634. 19 indexed citations
12.
Hamilton‐Reeves, Jill, Prabhakar Chalise, Moben Mirza, et al.. (2020). Feasibility of a Weight Management Program Tailored for Overweight Men with Localized Prostate Cancer – A Pilot Study. Nutrition and Cancer. 73(11-12). 2671–2686. 9 indexed citations
13.
Fabian, Carol J., Lauren Nye, Teresa A. Phillips, et al.. (2019). Effect of Bazedoxifene and Conjugated Estrogen (Duavee) on Breast Cancer Risk Biomarkers in High-Risk Women: A Pilot Study. Cancer Prevention Research. 12(10). 711–720. 30 indexed citations
14.
Ganatra, Hammad A., et al.. (2019). Sedation and Analgesia During Pediatric Burn Dressing Change: A Survey of American Burn Association Centers. Journal of Burn Care & Research. 40(3). 287–293. 24 indexed citations
15.
Komiya, Takefumi, et al.. (2017). Who treats lung cancer? Results from a global survey. Respiratory Investigation. 55(5). 308–313. 4 indexed citations
16.
Papachristou, Evangelia K., Clive S. D’Santos, Prabhakar Chalise, et al.. (2017). O-GlcNAc-Dependent Regulation of Progesterone Receptor Function in Breast Cancer. Hormones and Cancer. 9(1). 12–21. 26 indexed citations
17.
Lele, Abhijit V., et al.. (2017). Differences in blood pressure by measurement technique in neurocritically ill patients: A technological assessment. Journal of Clinical Neuroscience. 47. 97–102. 8 indexed citations
18.
Komiya, Takefumi, et al.. (2016). Status of oncologic specialties: global survey of physicians treating cancer. International Journal of Clinical Oncology. 22(2). 237–243. 4 indexed citations
19.
Chalise, Prabhakar, Rama Raghavan, & Brooke L. Fridley. (2016). InterSIM: Simulation tool for multiple integrative ‘omic datasets’. Computer Methods and Programs in Biomedicine. 128. 69–74. 26 indexed citations
20.
Koestler, Devin C., Prabhakar Chalise, Mine S. Cicek, et al.. (2014). Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer. BMC Medical Genomics. 7(1). 8–8. 29 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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