P. Ghosh

5.0k total citations
135 papers, 3.7k citations indexed

About

P. Ghosh is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, P. Ghosh has authored 135 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 53 papers in Pulmonary and Respiratory Medicine and 31 papers in Oncology. Recurrent topics in P. Ghosh's work include Prostate Cancer Treatment and Research (46 papers), PI3K/AKT/mTOR signaling in cancer (12 papers) and Cancer, Lipids, and Metabolism (12 papers). P. Ghosh is often cited by papers focused on Prostate Cancer Treatment and Research (46 papers), PI3K/AKT/mTOR signaling in cancer (12 papers) and Cancer, Lipids, and Metabolism (12 papers). P. Ghosh collaborates with scholars based in United States, India and China. P. Ghosh's co-authors include Jeffrey I. Kreisberg, Roble Bedolla, Shazli N. Malik, Thomas J. Prihoda, Dean A. Troyer, Maria Mudryj, Nabendu Murmu, Ruth L. Vinall, Michael G. Brattain and Tapan Kumar Mondal 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

P. Ghosh

135 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Ghosh United States 34 2.1k 1.0k 726 678 337 135 3.7k
Regina M. Day United States 36 2.0k 1.0× 919 0.9× 452 0.6× 406 0.6× 423 1.3× 98 4.3k
Mauro Bologna Italy 36 1.7k 0.8× 789 0.8× 1.1k 1.5× 722 1.1× 187 0.6× 116 3.5k
Hans Adomat Canada 27 1.5k 0.7× 1.2k 1.1× 461 0.6× 915 1.3× 190 0.6× 94 3.1k
Peter W. Gout Canada 36 3.2k 1.5× 1000 1.0× 1.3k 1.8× 1.4k 2.1× 236 0.7× 99 5.8k
Satoshi Kashiwagi United States 27 1.5k 0.7× 349 0.3× 602 0.8× 473 0.7× 348 1.0× 75 4.0k
Mark R. Hellmich United States 43 2.4k 1.2× 370 0.4× 1.2k 1.7× 516 0.8× 876 2.6× 128 5.6k
Jian Hu United States 35 2.6k 1.3× 377 0.4× 582 0.8× 962 1.4× 238 0.7× 104 4.3k
Ajit G. Thomas United States 34 2.7k 1.3× 1.4k 1.4× 580 0.8× 1.7k 2.5× 396 1.2× 84 5.0k
Doris Mayer Germany 35 2.4k 1.2× 406 0.4× 778 1.1× 1.0k 1.5× 414 1.2× 111 4.2k
Camilo Rojas United States 37 1.9k 0.9× 638 0.6× 577 0.8× 910 1.3× 830 2.5× 108 4.6k

Countries citing papers authored by P. Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by P. Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ghosh. A scholar is included among the top collaborators of P. Ghosh 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 P. Ghosh. P. Ghosh 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.
Mudryj, Maria, et al.. (2024). Amiloride sensitizes prostate cancer cells to the reversible tyrosine kinase inhibitor lapatinib by modulating Erbb3 subcellular localization. Cellular and Molecular Life Sciences. 82(1). 24–24. 1 indexed citations
2.
Tepper, Clifford G., et al.. (2023). Androgen receptor-dependent regulation of metabolism in high grade bladder cancer cells. Scientific Reports. 13(1). 1762–1762. 4 indexed citations
3.
Wells, Kristina V, et al.. (2023). Prostate cancer and bone: clinical presentation and molecular mechanisms. Endocrine Related Cancer. 30(9). 5 indexed citations
4.
Ghosh, P., et al.. (2023). The dynamic microenvironment associated with metastatic bone disease: Current concepts. Journal of Surgical Oncology. 128(3). 468–477. 2 indexed citations
6.
Lucchesi, Christopher A., et al.. (2023). Pesticides and Bladder Cancer: Mechanisms Leading to Anti-Cancer Drug Chemoresistance and New Chemosensitization Strategies. International Journal of Molecular Sciences. 24(14). 11395–11395. 7 indexed citations
7.
Durbin‐Johnson, Blythe, William T. N. Culp, Carrie A. Palm, et al.. (2022). Untargeted Metabolomics Identify a Panel of Urinary Biomarkers for the Diagnosis of Urothelial Carcinoma of the Bladder, as Compared to Urolithiasis with or without Urinary Tract Infection in Dogs. Metabolites. 12(3). 200–200. 7 indexed citations
8.
Mudryj, Maria, et al.. (2021). Comparative Cancer Cell Signaling in Muscle-Invasive Urothelial Carcinoma of the Bladder in Dogs and Humans. Biomedicines. 9(10). 1472–1472. 6 indexed citations
9.
Shih, Tsung‐Chieh, Ruiwu Liu, Chun‐Te Wu, et al.. (2018). Targeting Galectin-1 Impairs Castration-Resistant Prostate Cancer Progression and Invasion. Clinical Cancer Research. 24(17). 4319–4331. 43 indexed citations
10.
Shih, Tsung‐Chieh, Ruiwu Liu, Gabriel Fung, et al.. (2017). A Novel Galectin-1 Inhibitor Discovered through One-Bead Two-Compound Library Potentiates the Antitumor Effects of Paclitaxel in vivo. Molecular Cancer Therapeutics. 16(7). 1212–1223. 32 indexed citations
11.
Ghosh, P., et al.. (2013). DOPAMINE BETA HYDROXYLASE: ITS RELEVANCE IN THE ETIOLOGY OF ATTENTION DEFICIT HYPERACTIVITY DISORDER. Journal of Proteins and Proteomics. 3(3). 2 indexed citations
12.
Ghosh, P., Bing Zhu, Yuji Ikeno, et al.. (2012). Role of β-adrenergic receptors in regulation of hepatic fat accumulation during aging. Journal of Endocrinology. 213(3). 251–261. 54 indexed citations
13.
Chen, Liqun, Benjamin A. Mooso, Anisha Madhav, et al.. (2011). Dual EGFR/HER2 Inhibition Sensitizes Prostate Cancer Cells to Androgen Withdrawal by Suppressing ErbB3. Clinical Cancer Research. 17(19). 6218–6228. 50 indexed citations
14.
Ghosh, P.. (2011). What controls PTEN and what it controls (in prostate cancer). Asian Journal of Andrology. 14(1). 130–131. 1 indexed citations
15.
Chen, Liqun, et al.. (2011). Targeting ErbB3: the New RTK(id) on the Prostate Cancer Block. Immunology Endocrine & Metabolic Agents - Medicinal Chemistry. 11(2). 131–149. 66 indexed citations
16.
Siddiqui, Salma, Swagata Bose, Benjamin A. Mooso, et al.. (2010). Nrdp1-Mediated Regulation of ErbB3 Expression by the Androgen Receptor in Androgen-Dependent but not Castrate-Resistant Prostate Cancer Cells. Cancer Research. 70(14). 5994–6003. 48 indexed citations
17.
Bedolla, Roble, Yu Wang, Karim Chamie, et al.. (2009). Nuclear versus Cytoplasmic Localization of Filamin A in Prostate Cancer: Immunohistochemical Correlation with Metastases. Clinical Cancer Research. 15(3). 788–796. 112 indexed citations
18.
Chen, Honglin, Stephen J. Libertini, Yu Wang, et al.. (2009). ERK Regulates Calpain 2-induced Androgen Receptor Proteolysis in CWR22 Relapsed Prostate Tumor Cell Lines. Journal of Biological Chemistry. 285(4). 2368–2374. 26 indexed citations
19.
Khan, Imran, Jing Zhao, P. Ghosh, et al.. (2009). Microbead Arrays for the Analysis of ErbB Receptor Tyrosine Kinase Activation and Dimerization in Breast Cancer Cells. Assay and Drug Development Technologies. 8(1). 27–36. 7 indexed citations
20.
Ghosh, P., et al.. (2002). RhoA-dependent murine prostate cancer cell proliferation and apoptosis: role of protein kinase Czeta.. PubMed. 62(9). 2630–6. 40 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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