Santosh K. Dasari

3.5k total citations
21 papers, 734 citations indexed

About

Santosh K. Dasari is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Santosh K. Dasari has authored 21 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Santosh K. Dasari's work include Autophagy in Disease and Therapy (3 papers), Extracellular vesicles in disease (2 papers) and Epigenetics and DNA Methylation (2 papers). Santosh K. Dasari is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Extracellular vesicles in disease (2 papers) and Epigenetics and DNA Methylation (2 papers). Santosh K. Dasari collaborates with scholars based in United States, India and Israel. Santosh K. Dasari's co-authors include Shani Bialik, Adi Kimchi, Anil K. Sood, Smadar Levin‐Zaidman, Sherry Y. Wu, Alfred H. Merrill, Susan K. Lutgendorf, Anthony H. Futerman, Gabriel Lopez‐Berestein and Peiying Yang and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Journal of Cell Science.

In The Last Decade

Santosh K. Dasari

20 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santosh K. Dasari United States 12 414 225 158 90 76 21 734
Jin Yan China 16 555 1.3× 319 1.4× 163 1.0× 100 1.1× 53 0.7× 34 968
Simonetta Petrungaro Italy 16 468 1.1× 206 0.9× 101 0.6× 92 1.0× 94 1.2× 27 827
Elodie Villa France 10 658 1.6× 324 1.4× 210 1.3× 61 0.7× 65 0.9× 14 964
Bryan E. Hoffman United States 13 591 1.4× 120 0.5× 129 0.8× 112 1.2× 40 0.5× 15 1.1k
Jongdae Shin South Korea 19 493 1.2× 107 0.5× 91 0.6× 83 0.9× 47 0.6× 27 758
Bartosz Mucha Poland 9 428 1.0× 206 0.9× 97 0.6× 84 0.9× 65 0.9× 12 801
Chaojun Yan China 11 834 2.0× 357 1.6× 153 1.0× 117 1.3× 44 0.6× 18 1.1k
Xuan Ou United States 14 548 1.3× 276 1.2× 121 0.8× 142 1.6× 267 3.5× 21 1.2k

Countries citing papers authored by Santosh K. Dasari

Since Specialization
Citations

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

Fields of papers citing papers by Santosh K. Dasari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Santosh K. Dasari. 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 Santosh K. Dasari. The network helps show where Santosh K. Dasari may publish in the future.

Co-authorship network of co-authors of Santosh K. Dasari

This figure shows the co-authorship network connecting the top 25 collaborators of Santosh K. Dasari. A scholar is included among the top collaborators of Santosh K. Dasari 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 Santosh K. Dasari. Santosh K. Dasari 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.
Dasari, Santosh K., et al.. (2025). Localization of Nanomachines in Anomalous Diffusion-Based Molecular Communication. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 12. 42–46. 1 indexed citations
3.
Dasari, Santosh K., Reid T. Powell, Mary Sobieski, et al.. (2023). Systematic high-throughput combination drug screen to enhance poly (ADP-ribose) polymerase (PARP) inhibitor efficacy in ovarian cancer.. Journal of Clinical Oncology. 41(16_suppl). 5546–5546.
4.
Chauvin, Maëva, Marie-Charlotte Meinsohn, Santosh K. Dasari, et al.. (2023). Cancer-associated mesothelial cells are regulated by the anti-Müllerian hormone axis. Cell Reports. 42(7). 112730–112730. 11 indexed citations
5.
Dasari, Santosh K., Robiya Joseph, Lingegowda S. Mangala, et al.. (2023). Combination of EphA2- and Wee1-Targeted Therapies in Endometrial Cancer. International Journal of Molecular Sciences. 24(4). 3915–3915. 7 indexed citations
6.
Wu, Yutuan, Nicholas B. Jennings, Yunjie Sun, et al.. (2022). Targeting CCR2+ macrophages with BET inhibitor overcomes adaptive resistance to anti-VEGF therapy in ovarian cancer. Journal of Cancer Research and Clinical Oncology. 148(4). 803–821. 9 indexed citations
7.
McGuire, Michael H., Santosh K. Dasari, Hui Yao, et al.. (2021). Gene Body Methylation of the Lymphocyte-Specific Gene CARD11 Results in Its Overexpression and Regulates Cancer mTOR Signaling. Molecular Cancer Research. 19(11). 1917–1928. 6 indexed citations
8.
Ma, Shaolin, Michael H. McGuire, Lingegowda S. Mangala, et al.. (2021). Gain-of-function p53 protein transferred via small extracellular vesicles promotes conversion of fibroblasts to a cancer-associated phenotype. Cell Reports. 34(6). 108726–108726. 33 indexed citations
9.
Noh, Kyunghee, Duc‐Hiep Bach, Hyun Jin Choi, et al.. (2020). The hidden role of paxillin: localization to nucleus promotes tumor angiogenesis. Oncogene. 40(2). 384–395. 19 indexed citations
10.
Li, Yang, Shanshan Yang, Nouara C. Sadaoui, et al.. (2020). Sustained Adrenergic Activation of YAP1 Induces Anoikis Resistance in Cervical Cancer Cells. iScience. 23(7). 101289–101289. 9 indexed citations
12.
Liu, Yuan, Sherry Y. Wu, Yeonjong Koo, et al.. (2020). Characterization of and isolation methods for plant leaf nanovesicles and small extracellular vesicles. Nanomedicine Nanotechnology Biology and Medicine. 29. 102271–102271. 85 indexed citations
13.
McGuire, Michael H., Shelley M. Herbrich, Santosh K. Dasari, et al.. (2019). Pan-cancer genomic analysis links 3’UTR DNA methylation with increased gene expression in T cells. EBioMedicine. 43. 127–137. 42 indexed citations
14.
Chen, Xiuhui, Lingegowda S. Mangala, Linda Mooberry, et al.. (2019). Identifying and targeting angiogenesis-related microRNAs in ovarian cancer. Oncogene. 38(33). 6095–6108. 44 indexed citations
15.
Dasari, Santosh K., et al.. (2018). Stress, inflammation, and eicosanoids: an emerging perspective. Cancer and Metastasis Reviews. 37(2-3). 203–211. 51 indexed citations
16.
Dasari, Santosh K., Shani Bialik, Smadar Levin‐Zaidman, et al.. (2017). Signalome-wide RNAi screen identifies GBA1 as a positive mediator of autophagic cell death. Cell Death and Differentiation. 24(7). 1288–1302. 78 indexed citations
18.
Dasari, Santosh K., et al.. (2014). Differential expression of estrogen receptor alpha in the embryonic adrenal–kidney–gonadal complex of the oviparous lizard, Calotes versicolor (Daud.). General and Comparative Endocrinology. 220. 55–60. 7 indexed citations
19.
Kumar, Santosh, Priyanka Sharma, Dhiraj Kumar, et al.. (2012). Andrographolide Inhibits Osteopontin Expression and Breast Tumor Growth Through Down Regulation of PI3 Kinase/Akt Signaling Pathway. Current Molecular Medicine. 12(8). 952–966. 54 indexed citations
20.
Mariappa, Daniel, Ravindranath H. Aladakatti, Santosh K. Dasari, et al.. (2009). Inhibition of tyrosine phosphorylation of sperm flagellar proteins, outer dense fiber protein‐2 and tektin‐2, is associated with impaired motility during capacitation of hamster spermatozoa. Molecular Reproduction and Development. 77(2). 182–193. 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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