Robert S. DiPaola

19.7k total citations · 7 hit papers
234 papers, 14.2k citations indexed

About

Robert S. DiPaola is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Robert S. DiPaola has authored 234 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Pulmonary and Respiratory Medicine, 77 papers in Oncology and 68 papers in Cancer Research. Recurrent topics in Robert S. DiPaola's work include Prostate Cancer Treatment and Research (100 papers), Prostate Cancer Diagnosis and Treatment (33 papers) and Cancer, Lipids, and Metabolism (32 papers). Robert S. DiPaola is often cited by papers focused on Prostate Cancer Treatment and Research (100 papers), Prostate Cancer Diagnosis and Treatment (33 papers) and Cancer, Lipids, and Metabolism (32 papers). Robert S. DiPaola collaborates with scholars based in United States, Canada and China. Robert S. DiPaola's co-authors include Eileen White, Robin Mathew, Michael A. Carducci, Guanghua Chen, Christopher J. Sweeney, Maha Hussain, Yu‐Hui Chen, Glenn Liu, Céline Gélinas and Jorge A. García and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Robert S. DiPaola

218 papers receiving 13.9k citations

Hit Papers

Chemohormonal Therapy in Metastatic Hormone-Sensitive Pr... 2009 2026 2014 2020 2015 2009 2011 2009 2011 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer
    2015 1.8k citations Christopher J. Sweeney, Yu‐Hui Chen et al. profile →
  2. Autophagy Suppresses Tumorigenesis through Elimination of p62
    2009 1.4k citations Robin Mathew, Cristina M. Karp et al. Cell profile →
  3. Activated Ras requires autophagy to maintain oxidative metabolism and tumorigenesis
    2011 1.1k citations Robin Mathew, Jing Fan et al. profile →
  4. The Double-Edged Sword of Autophagy Modulation in Cancer
    2009 935 citations Eileen White, Robert S. DiPaola Clinical Cancer Research profile →
  5. Principles and Current Strategies for Targeting Autophagy for Cancer Treatment
    2011 728 citations Robert S. DiPaola, Eileen White et al. Clinical Cancer Research profile →
  6. Chemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer: Long-Term Survival Analysis of the Randomized Phase III E3805 CHAARTED Trial
    2018 695 citations Yu‐Hui Chen, Michael A. Carducci et al. profile →
  7. Autophagy suppresses progression of K-ras-induced lung tumors to oncocytomas and maintains lipid homeostasis
    2013 471 citations Robin Mathew, Jurre J. Kamphorst et al. profile →

Peers

Robert S. DiPaola
Yujin Hoshida United States
James L. Mulshine United States
Augusto Villanueva United States
Éric Raymond France
Xavier Matías‐Guiu Spain
Yuichi Ishikawa Japan
Alex A. Adjei United States
Peter J. O’Dwyer United States
Ann‐Lii Cheng Taiwan
Fadlo R. Khuri United States
Yujin Hoshida United States
Robert S. DiPaola
Citations per year, relative to Robert S. DiPaola Robert S. DiPaola (= 1×) peers Yujin Hoshida

Countries citing papers authored by Robert S. DiPaola

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. DiPaola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. DiPaola. 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 Robert S. DiPaola. The network helps show where Robert S. DiPaola may publish in the future.

Co-authorship network of co-authors of Robert S. DiPaola

This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. DiPaola. A scholar is included among the top collaborators of Robert S. DiPaola 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 Robert S. DiPaola. Robert S. DiPaola 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.
Tripathi, Archana, David F. Jarrard, Jorge A. García, et al.. (2025). Ten-year survival rates by PSA nadir in patients with metastatic hormone-sensitive prostate cancer: long-term survival analysis from the ECOG-ACRIN 3805 (CHAARTED) trial. Annals of Oncology. 36(11). 1409–1413.
2.
3.
Surratt, Hilary L., Emily Slade, Philip A. Kern, et al.. (2023). Optimizing team science in an academic medical center: A qualitative examination of investigator perspectives. Journal of Clinical and Translational Science. 7(1). e57–e57. 2 indexed citations
4.
Myint, Zin, William H. St. Clair, Stephen E. Strup, et al.. (2023). A Phase I Dose Escalation and Expansion Study of Epidiolex (Cannabidiol) in Patients with Biochemically Recurrent Prostate Cancer. Cancers. 15(9). 2505–2505. 6 indexed citations
5.
Slade, Emily, Philip A. Kern, Joel Thompson, et al.. (2023). Collaborative team dynamics and scholarly outcomes of multidisciplinary research teams: A mixed-methods approach. Journal of Clinical and Translational Science. 7(1). e59–e59. 6 indexed citations
6.
Bottinor, Wendy, Yael Flamand, Naomi B. Haas, et al.. (2023). Cardiovascular Implications of Vascular Endothelial Growth Factor Inhibition Among Adolescents/Young Adults in ECOG-ACRIN E2805. Journal of the National Comprehensive Cancer Network. 21(7). 725–731.e1. 1 indexed citations
7.
Zhang, Shulin, Nan Lin, James W. Keck, et al.. (2022). Real-World Evaluation of a Population Germline Genetic Screening Initiative for Family Medicine Patients. Journal of Personalized Medicine. 12(8). 1297–1297. 3 indexed citations
8.
Xu, Wenxin, Mäneka Puligandla, Brian Halbert, et al.. (2021). Plasma KIM-1 Is Associated with Recurrence Risk after Nephrectomy for Localized Renal Cell Carcinoma: A Trial of the ECOG-ACRIN Research Group (E2805). Clinical Cancer Research. 27(12). 3397–3403. 26 indexed citations
9.
Bryce, Alan H., Yu‐Hui Chen, Glenn Liu, et al.. (2020). Patterns of Cancer Progression of Metastatic Hormone-sensitive Prostate Cancer in the ECOG3805 CHAARTED Trial. European Urology Oncology. 3(6). 717–724. 17 indexed citations
10.
Xu, Wenxin, Mäneka Puligandla, Judith Manola, et al.. (2019). Angiogenic Factor and Cytokine Analysis among Patients Treated with Adjuvant VEGFR TKIs in Resected Renal Cell Carcinoma. Clinical Cancer Research. 25(20). 6098–6106. 11 indexed citations
11.
Jilaveanu, Lucia B., Mäneka Puligandla, Sarah A. Weiss, et al.. (2017). Tumor Microvessel Density as a Prognostic Marker in High-Risk Renal Cell Carcinoma Patients Treated on ECOG-ACRIN E2805. Clinical Cancer Research. 24(1). 217–223. 24 indexed citations
12.
Bansal, Nitu, Monica Bartucci, Shamila Yusuff, et al.. (2016). BMI-1 Targeting Interferes with Patient-Derived Tumor-Initiating Cell Survival and Tumor Growth in Prostate Cancer. Clinical Cancer Research. 22(24). 6176–6191. 49 indexed citations
13.
Haas, Naomi B., Judith Manola, Bonnie Ky, et al.. (2015). Effects of Adjuvant Sorafenib and Sunitinib on Cardiac Function in Renal Cell Carcinoma Patients without Overt Metastases: Results from ASSURE, ECOG 2805. Clinical Cancer Research. 21(18). 4048–4054. 46 indexed citations
14.
Lu‐Yao, Grace L., Peter C. Albertsen, Dirk F. Moore, et al.. (2015). Fifteen-year Outcomes Following Conservative Management Among Men Aged 65 Years or Older with Localized Prostate Cancer. European Urology. 68(5). 805–811. 42 indexed citations
15.
Richie, John P., Arun K. Das, Ana Calcagnotto, et al.. (2014). Comparative Effects of Two Different Forms of Selenium on Oxidative Stress Biomarkers in Healthy Men: A Randomized Clinical Trial. Cancer Prevention Research. 7(8). 796–804. 36 indexed citations
16.
Bray, Kevin, Robin Mathew, Alexandria Lau, et al.. (2012). Autophagy Suppresses RIP Kinase-Dependent Necrosis Enabling Survival to mTOR Inhibition. PLoS ONE. 7(7). e41831–e41831. 124 indexed citations
17.
Mathew, Roshan, Cristina M. Karp, Brian Beaudoin, et al.. (2011). Autophagy Suppresses Tumorigenesis through Elimination of p62. Cell. 145(2). 322–322. 50 indexed citations
18.
Alva, Ajjai, Susan F. Slovin, Stephanie Daignault, et al.. (2010). Phase II study of Cilengitide (EMD 121974, NSC 707544) in patients with non-metastatic castration resistant prostate cancer, NCI-6735. A study by the DOD/PCF prostate cancer clinical trials consortium. Investigational New Drugs. 30(2). 749–757. 72 indexed citations
19.
Bray, Kevin, Hsin‐Yi Chen, Cristina M. Karp, et al.. (2009). Bcl-2 Modulation to Activate Apoptosis in Prostate Cancer. Molecular Cancer Research. 7(9). 1487–1496. 41 indexed citations
20.
Shao, Yu‐Hsuan Joni, Kitaw Demissie, Weichung Joe Shih, et al.. (2009). Contemporary Risk Profile of Prostate Cancer in the United States. JNCI Journal of the National Cancer Institute. 101(18). 1280–1283. 209 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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