Jay D. Raman

18.3k total citations · 2 hit papers
356 papers, 10.0k citations indexed

About

Jay D. Raman is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Jay D. Raman has authored 356 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 218 papers in Surgery, 183 papers in Pulmonary and Respiratory Medicine and 57 papers in Molecular Biology. Recurrent topics in Jay D. Raman's work include Bladder and Urothelial Cancer Treatments (165 papers), Urinary and Genital Oncology Studies (109 papers) and Renal cell carcinoma treatment (108 papers). Jay D. Raman is often cited by papers focused on Bladder and Urothelial Cancer Treatments (165 papers), Urinary and Genital Oncology Studies (109 papers) and Renal cell carcinoma treatment (108 papers). Jay D. Raman collaborates with scholars based in United States, Austria and France. Jay D. Raman's co-authors include Jeffrey A. Cadeddu, Yair Lotan, Aditya Bagrodia, Shahrokh F. Shariat, Douglas S. Scherr, Peter N. Schlegel, Karim Bensalah, Vitaly Margulis, Christopher G. Wood and Alon Z. Weizer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jay D. Raman

336 papers receiving 9.8k citations

Hit Papers

Outcomes of radical nephroureterectomy: A series from the... 2009 2026 2014 2020 2009 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay D. Raman United States 51 6.7k 3.9k 1.8k 1.8k 1.2k 356 10.0k
Philippe E. Spiess United States 43 5.3k 0.8× 2.6k 0.7× 1.2k 0.6× 1.7k 0.9× 1.5k 1.2× 474 8.6k
Andrea Minervini Italy 39 2.2k 0.3× 3.2k 0.8× 1.8k 1.0× 1.0k 0.6× 675 0.5× 304 5.7k
Kevin R. Loughlin United States 44 1.9k 0.3× 2.6k 0.7× 1.1k 0.6× 886 0.5× 583 0.5× 206 5.8k
Phillip M. Pierorazio United States 42 3.1k 0.5× 5.9k 1.5× 2.8k 1.5× 441 0.2× 746 0.6× 291 7.9k
Nazareno Suardi Italy 56 2.6k 0.4× 8.7k 2.2× 993 0.5× 2.2k 1.2× 1.2k 0.9× 322 10.9k
Ziya Kırkalı Türkiye 40 2.9k 0.4× 3.5k 0.9× 2.3k 1.2× 1.5k 0.9× 1.0k 0.8× 248 7.3k
Sam S. Chang United States 49 4.5k 0.7× 3.1k 0.8× 1.1k 0.6× 2.1k 1.1× 1.2k 1.0× 187 7.5k
Eila C. Skinner United States 50 9.9k 1.5× 3.2k 0.8× 1.9k 1.0× 4.7k 2.6× 1.8k 1.5× 172 12.2k
Rocco Damiano Italy 42 1.8k 0.3× 2.5k 0.6× 563 0.3× 1.6k 0.9× 401 0.3× 201 5.1k
Bernard Lobel France 33 2.2k 0.3× 2.8k 0.7× 2.0k 1.1× 1.2k 0.7× 473 0.4× 143 5.1k

Countries citing papers authored by Jay D. Raman

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Raman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Raman. 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 Jay D. Raman. The network helps show where Jay D. Raman may publish in the future.

Co-authorship network of co-authors of Jay D. Raman

This figure shows the co-authorship network connecting the top 25 collaborators of Jay D. Raman. A scholar is included among the top collaborators of Jay D. Raman 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 Jay D. Raman. Jay D. Raman 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
2.
Raman, Jay D., et al.. (2024). Kidney-Sparing Surgery for Upper Tract Urothelial Carcinoma—Modalities, Outcomes, and Limitations. Journal of Clinical Medicine. 13(21). 6593–6593.
3.
Zheng, Amy, et al.. (2024). Prior Negative Biopsy, PSA Density, and Anatomic Location Impact Cancer Detection Rate of MRI-Targeted PI-RADS Index Lesions. Current Oncology. 31(8). 4406–4413. 1 indexed citations
4.
Raman, Jay D., et al.. (2024). Artificial Intelligence can Facilitate Application of Risk Stratification Algorithms to Bladder Cancer Patient Case Scenarios. Clinical Medicine Insights Oncology. 18. 1383417741–1383417741. 1 indexed citations
5.
Hensley, Patrick J., Craig Labbate, Jeffrey T. Howard, et al.. (2024). Development and Validation of a Multivariable Nomogram Predictive of Post-Nephroureterectomy Renal Function. European Urology Oncology. 7(6). 1313–1319. 3 indexed citations
6.
Lotan, Yair, Daniel A. Barocas, Sam S. Chang, et al.. (2023). Commentary on Novitas LCD. Bladder Cancer. 9(4). 305–312. 1 indexed citations
7.
Lehman, Erik, Gary E. Lemack, Marisa Clifton, et al.. (2023). Practice Readiness? Trends in Chief Resident Year Training Experience Across 13 Residency Programs. Urology Practice. 11(2). 430–438.
9.
Khene, Z., B. Peyronnet, N. Doumerc, et al.. (2021). Adherent perinephric fat affects perioperative outcomes after partial nephrectomy: a systematic review and meta-analysis. International Journal of Clinical Oncology. 26(4). 636–646. 9 indexed citations
10.
Fang, Dong, Nirmish Singla, Xiaohong Su, et al.. (2020). <p>The Significance of Preoperative Serum Sodium and Hemoglobin in Outcomes of Upper Tract Urothelial Carcinoma: Multi-Center Analysis Between China and the United States</p>. Cancer Management and Research. Volume 12. 9825–9836. 3 indexed citations
12.
Hollenbeak, Christopher S., Élise Schaefer, Justin Doan, & Jay D. Raman. (2019). Determinants of treatment in patients with stage IV renal cell carcinoma. BMC Urology. 19(1). 123–123. 6 indexed citations
13.
Xia, Leilei, Ruchika Talwar, Benjamin Taylor, et al.. (2019). National trends and disparities of minimally invasive surgery for localized renal cancer, 2010 to 2015. Urologic Oncology Seminars and Original Investigations. 37(3). 182.e17–182.e27. 40 indexed citations
14.
Merrill, Suzanne B., et al.. (2018). Capturing Renal Cell Carcinoma Recurrences When Asymptomatic Improves Patient Survival. Clinical Genitourinary Cancer. 17(2). 132–138. 9 indexed citations
15.
Kocher, Neil J., et al.. (2017). Synchronous Primary Renal Lymphoma and Renal Cell Carcinoma: Collision Tumors in the Same Kidney. Journal of Endourology Case Reports. 3(1). 87–89. 5 indexed citations
16.
Kocher, Neil J., et al.. (2017). Incarcerated Right Lateral Trocar-Site Hernia as a Rare Complication of Robot-Assisted Laparoscopic Prostatectomy. Journal of Endourology Case Reports. 3(1). 155–157. 2 indexed citations
17.
Xia, Leilei, Jose E. Pulido, Raju Chelluri, et al.. (2017). Hospital volume and outcomes of robot‐assisted partial nephrectomy. British Journal of Urology. 121(6). 900–907. 31 indexed citations
18.
Kikuchi, Eiji, Vitaly Margulis, Pierre I. Karakiewicz, et al.. (2008). Lymphovascular Invasion Predicts Clinical Outcomes in Patients With Node-Negative Upper Tract Urothelial Carcinoma. Journal of Clinical Oncology. 27(4). 612–618. 215 indexed citations
19.
Raman, Jay D.. (2008). Re: Prognostic Value of MET, RON and Histoprognostic Factors for Urothelial Carcinoma in the Upper Urinary Tract. The Journal of Urology. 1 indexed citations
20.
Raman, Jay D. & Jeffrey A. Cadeddu. (2008). Re: Excise, Ablate or Observe: The Small Renal Mass Dilemma—A Meta-Analysis and Review. The Journal of Urology. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026