Sunila Pradeep

6.7k total citations
64 papers, 1.9k citations indexed

About

Sunila Pradeep is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sunila Pradeep has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 28 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Sunila Pradeep's work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (11 papers) and Extracellular vesicles in disease (9 papers). Sunila Pradeep is often cited by papers focused on MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (11 papers) and Extracellular vesicles in disease (9 papers). Sunila Pradeep collaborates with scholars based in United States, India and Japan. Sunila Pradeep's co-authors include Anil K. Sood, Gabriel Lopez‐Berestein, Cristina Ivan, Cristian Rodriguez‐Aguayo, Lingegowda S. Mangala, Pradeep Chaluvally–Raghavan, Guillermo N. Armaiz-Peña, Rajesha Rupaimoole, Min Soon Cho and Sherry Y. Wu and has published in prestigious journals such as Nature Communications, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Sunila Pradeep

57 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunila Pradeep 1.1k 622 499 361 167 64 1.9k
Kae Hashimoto 1.2k 1.1× 781 1.3× 632 1.3× 518 1.4× 183 1.1× 73 2.1k
Rakesh K. Singh 834 0.7× 333 0.5× 661 1.3× 427 1.2× 126 0.8× 52 1.6k
Eiji Toyoda 1.2k 1.1× 320 0.5× 788 1.6× 252 0.7× 117 0.7× 31 1.8k
Bin Shi 1.2k 1.0× 606 1.0× 852 1.7× 219 0.6× 271 1.6× 16 2.1k
P Wülfing 773 0.7× 452 0.7× 576 1.2× 194 0.5× 191 1.1× 47 1.7k
Kazuhiro Kami 1.2k 1.1× 320 0.5× 1.0k 2.0× 272 0.8× 187 1.1× 34 2.0k
Paola Ostano 1.2k 1.1× 552 0.9× 703 1.4× 289 0.8× 207 1.2× 59 2.1k
Justin Bottsford-Miller 559 0.5× 324 0.5× 591 1.2× 258 0.7× 163 1.0× 42 1.4k
Naoharu Takano 1.3k 1.2× 978 1.6× 595 1.2× 348 1.0× 159 1.0× 45 2.5k
Camila Avivi 650 0.6× 349 0.6× 494 1.0× 538 1.5× 123 0.7× 53 1.7k

Countries citing papers authored by Sunila Pradeep

Since Specialization
Citations

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

Fields of papers citing papers by Sunila Pradeep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunila Pradeep

This figure shows the co-authorship network connecting the top 25 collaborators of Sunila Pradeep. A scholar is included among the top collaborators of Sunila Pradeep 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 Sunila Pradeep. Sunila Pradeep 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.
Mittal, Sonam, Sudhir Kumar, Olamide Animasahun, et al.. (2025). eIF4E Enriched Extracellular Vesicles Induce Immunosuppressive Macrophages through HMGCR‐Mediated Metabolic Rewiring. Advanced Science. 12(42). e06307–e06307. 1 indexed citations
3.
Kumari, Rashmi, Ankita Dua, Mona Singh, et al.. (2024). From Gut to Hormones: Unraveling the Role of Gut Microbiota in (Phyto)Estrogen Modulation in Health and Disease. Molecular Nutrition & Food Research. 68(6). e2300688–e2300688. 38 indexed citations
4.
Mittal, Sonam, Sudhir Kumar, Prachi Gupta, et al.. (2024). Protocol for the isolation of tumor cell-derived extracellular vesicles followed by in vivo metastasis assessment in a murine ovarian cancer model. STAR Protocols. 5(2). 102943–102943. 1 indexed citations
5.
Gupta, Prachi, et al.. (2022). Extracellular vesicle contents as non-invasive biomarkers in ovarian malignancies. Molecular Therapy — Oncolytics. 26. 347–359. 5 indexed citations
6.
Miyake, Takahito, Sunila Pradeep, Emine Bayraktar, et al.. (2020). NRG1/ERBB3 Pathway Activation Induces Acquired Resistance to XPO1 Inhibitors. Molecular Cancer Therapeutics. 19(8). 1727–1735. 8 indexed citations
7.
Parashar, Deepak, Anjali Geethadevi, Jasmine George, et al.. (2020). Peritoneal Spread of Ovarian Cancer Harbors Therapeutic Vulnerabilities Regulated by FOXM1 and EGFR/ERBB2 Signaling. Cancer Research. 80(24). 5554–5568. 29 indexed citations
8.
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
9.
Ma, Shaolin, Sunila Pradeep, Alejandro Villar‐Prados, et al.. (2019). GnRH-R–Targeted Lytic Peptide Sensitizes BRCA Wild-type Ovarian Cancer to PARP Inhibition. Molecular Cancer Therapeutics. 18(5). 969–979. 13 indexed citations
10.
Hu, Qianghua, Takeshi Hisamatsu, Monika Haemmerle, et al.. (2017). Role of Platelet-Derived Tgfβ1 in the Progression of Ovarian Cancer. Clinical Cancer Research. 23(18). 5611–5621. 63 indexed citations
11.
Hu, Zhongyi, Lingegowda S. Mangala, Zachary E. Stine, et al.. (2017). MYC Targeted Long Noncoding RNA DANCR Promotes Cancer in Part by Reducing p21 Levels. Cancer Research. 78(1). 64–74. 91 indexed citations
12.
Mitamura, Takashi, Sunila Pradeep, Michael H. McGuire, et al.. (2017). Induction of anti-VEGF therapy resistance by upregulated expression of microseminoprotein (MSMP). Oncogene. 37(6). 722–731. 40 indexed citations
13.
Huang, Yan, Lenard M. Lichtenberger, Morgan Taylor, et al.. (2016). Antitumor and Antiangiogenic Effects of Aspirin-PC in Ovarian Cancer. Molecular Cancer Therapeutics. 15(12). 2894–2904. 42 indexed citations
14.
González-Villasana, Vianey, Enrique Fuentes‐Mattei, Cristina Ivan, et al.. (2015). Rac1/Pak1/p38/MMP-2 Axis Regulates Angiogenesis in Ovarian Cancer. Clinical Cancer Research. 21(9). 2127–2137. 63 indexed citations
15.
Armaiz-Peña, Guillermo N., Lingegowda S. Mangala, Fatma Valiyeva, et al.. (2015). Targeting c-MYC in Platinum-Resistant Ovarian Cancer. Molecular Cancer Therapeutics. 14(10). 2260–2269. 94 indexed citations
16.
Previs, Rebecca A., Guillermo N. Armaiz-Peña, Yvonne G. Lin, et al.. (2015). Dual Metronomic Chemotherapy with Nab-Paclitaxel and Topotecan Has Potent Antiangiogenic Activity in Ovarian Cancer. Molecular Cancer Therapeutics. 14(12). 2677–2686. 11 indexed citations
17.
Bottsford-Miller, Justin, Hyun Jin Choi, Heather J. Dalton, et al.. (2014). Differential Platelet Levels Affect Response to Taxane-Based Therapy in Ovarian Cancer. Clinical Cancer Research. 21(3). 602–610. 73 indexed citations
18.
Gharpure, Kshipra M., Kevin S. Chu, Charles J. Bowerman, et al.. (2014). Metronomic Docetaxel in PRINT Nanoparticles and EZH2 Silencing Have Synergistic Antitumor Effect in Ovarian Cancer. Molecular Cancer Therapeutics. 13(7). 1750–1757. 26 indexed citations
19.
Kang, Yu, Wei Hu, Cristina Ivan, et al.. (2013). Role of Focal Adhesion Kinase in Regulating YB–1–Mediated Paclitaxel Resistance in Ovarian Cancer. JNCI Journal of the National Cancer Institute. 105(19). 1485–1495. 156 indexed citations
20.
Konson, Alexander, Sunila Pradeep, & Rony Seger. (2010). Phosphomimetic Mutants of Pigment Epithelium-Derived Factor with Enhanced Antiangiogenic Activity as Potent Anticancer Agents. Cancer Research. 70(15). 6247–6257. 28 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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