Pradeep Chaluvally–Raghavan

1.3k total citations
24 papers, 520 citations indexed

About

Pradeep Chaluvally–Raghavan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pradeep Chaluvally–Raghavan has authored 24 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Pradeep Chaluvally–Raghavan's work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (4 papers). Pradeep Chaluvally–Raghavan is often cited by papers focused on Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (4 papers). Pradeep Chaluvally–Raghavan collaborates with scholars based in United States, India and Italy. Pradeep Chaluvally–Raghavan's co-authors include Sunila Pradeep, Prachi Gupta, Ramani Ramchandran, Sonam Mittal, Anjali Geethadevi, Deepak Parashar, Changliang Chen, Jasmine George, Sudhir Kumar and Shirng‐Wern Tsaih and has published in prestigious journals such as Cancer Research, Oncogene and Cell Reports.

In The Last Decade

Pradeep Chaluvally–Raghavan

23 papers receiving 516 citations

Peers

Pradeep Chaluvally–Raghavan

ONCOL

IMMUN

PRM

Marika Crescenzi Italy

Suchitra Natarajan United States

Mai Sugiyama Japan

Hui Qian China

Helene Tuft Stavnes Norway

Enhao Zhao China

Wen-Fei Wei China

Yantian Fang China

Hsin‐Yi Lan Taiwan

Moein Farshchian Iran

Marika Crescenzi Italy

Pradeep Chaluvally–Raghavan

266 ×0.8

213 ×0.9

107 ×0.8

ONCOL

58 ×0.5

IMMUN

47 ×0.8

PRM

Citations per year, relative to Pradeep Chaluvally–Raghavan Pradeep Chaluvally–Raghavan (= 1×) peers Marika Crescenzi

Countries citing papers authored by Pradeep Chaluvally–Raghavan

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep Chaluvally–Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Chaluvally–Raghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Chaluvally–Raghavan. A scholar is included among the top collaborators of Pradeep Chaluvally–Raghavan 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 Pradeep Chaluvally–Raghavan. Pradeep Chaluvally–Raghavan 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

Zayed, Hany, Li Sun, Sajjad Ali Khan, et al.. (2025). Natural history of SPP1 signaling in NF1 tumors. npj Precision Oncology. 9(1). 320–320.

Geethadevi, Anjali, Zhiqiang Ku, Shirng‐Wern Tsaih, et al.. (2024). Blocking Oncostatin M receptor abrogates STAT3 mediated integrin signaling and overcomes chemoresistance in ovarian cancer. npj Precision Oncology. 8(1). 127–127. 7 indexed citations

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

Mittal, Sonam, Sudhir Kumar, Jasmine George, et al.. (2024). Abstract 4284: Macrophage reprogramming and immune suppression through extracellular vesicles loaded eIF4A1in ovarian cancer. Cancer Research. 84(6_Supplement). 4284–4284. 1 indexed citations

Keyes, Robert F., Donna McAllister, Francis C. Peterson, et al.. (2022). Fluorinated triphenylphosphonium analogs improve cell selectivity and in vivo detection of mito-metformin. iScience. 25(12). 105670–105670. 6 indexed citations

George, Jasmine, et al.. (2022). Optimized proximity ligation assay (PLA) for detection of RNA-protein complex interactions in cell lines. STAR Protocols. 3(2). 101340–101340. 11 indexed citations

Gupta, Prachi, et al.. (2022). Extracellular vesicle contents as non-invasive biomarkers in ovarian malignancies. Molecular Therapy — Oncolytics. 26. 347–359. 5 indexed citations

Gupta, Prachi, Sonam Mittal, Shirng‐Wern Tsaih, et al.. (2022). Tumor Derived Extracellular Vesicles Drive T Cell Exhaustion in Tumor Microenvironment through Sphingosine Mediated Signaling and Impacting Immunotherapy Outcomes in Ovarian Cancer. Advanced Science. 9(14). e2104452–e2104452. 55 indexed citations

Parashar, Deepak, Anjali Geethadevi, Donna McAllister, et al.. (2021). Targeted biologic inhibition of both tumor cell-intrinsic and intercellular CLPTM1L/CRR9-mediated chemotherapeutic drug resistance. npj Precision Oncology. 5(1). 16–16. 23 indexed citations

10.

Mittal, Sonam, Prachi Gupta, Pradeep Chaluvally–Raghavan, & Sunila Pradeep. (2021). Establishment of In Vivo Ovarian Cancer Mouse Models Using Intraperitoneal Tumor Cell Injection. Methods in molecular biology. 2424. 247–254. 2 indexed citations

11.

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

12.

Chen, Changliang, Prachi Gupta, Deepak Parashar, et al.. (2020). ERBB3-induced furin promotes the progression and metastasis of ovarian cancer via the IGF1R/STAT3 signaling axis. Oncogene. 39(14). 2921–2933. 37 indexed citations

13.

Mittal, Sonam, Prachi Gupta, Pradeep Chaluvally–Raghavan, & Sunila Pradeep. (2020). Emerging Role of Extracellular Vesicles in Immune Regulation and Cancer Progression. Cancers. 12(12). 3563–3563. 50 indexed citations

14.

Gong, Xianghui, Michael P. Endsley, Kevin R. Rarick, et al.. (2019). Interaction of tumor cells and astrocytes promotes breast cancer brain metastases through TGF-β2/ANGPTL4 axes. npj Precision Oncology. 3(1). 24–24. 65 indexed citations

15.

Gupta, Prachi, et al.. (2019). B Cells as an Immune-Regulatory Signature in Ovarian Cancer. Cancers. 11(7). 894–894. 36 indexed citations

16.

Ramchandran, Ramani & Pradeep Chaluvally–Raghavan. (2017). miRNA-Mediated RNA Activation in Mammalian Cells. Advances in experimental medicine and biology. 983. 81–89. 46 indexed citations

17.

Geethadevi, Anjali, et al.. (2017). ERBB signaling in CTCs of ovarian cancer and glioblastoma. Genes & Cancer. 8(11-12). 746–751. 18 indexed citations

18.

Chaluvally–Raghavan, Pradeep, Kang Jin Jeong, Sunila Pradeep, et al.. (2016). Direct Upregulation of STAT3 by MicroRNA-551b-3p Deregulates Growth and Metastasis of Ovarian Cancer. Cell Reports. 15(7). 1493–1504. 75 indexed citations

19.

Chaluvally–Raghavan, Pradeep & Gordon B. Mills. (2015). Targeting ncRNAs in the 3q26.2 amplicon. Oncoscience. 2(8). 671–672. 1 indexed citations

20.

Chaluvally–Raghavan, Pradeep, Fan Zhang, Wenbin Liu, et al.. (2014). Abstract 4396: MicroRNA MIR551B amplified at 3q26.2 locus activate c-KIT expression and causes resistance to anoikis of ovarian cancer cells. Cancer Research. 74(19_Supplement). 4396–4396. 1 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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