Eric Kauffman

2.7k total citations
76 papers, 1.7k citations indexed

About

Eric Kauffman is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Eric Kauffman has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pulmonary and Respiratory Medicine, 28 papers in Surgery and 25 papers in Molecular Biology. Recurrent topics in Eric Kauffman's work include Renal cell carcinoma treatment (34 papers), Renal and related cancers (21 papers) and Bladder and Urothelial Cancer Treatments (19 papers). Eric Kauffman is often cited by papers focused on Renal cell carcinoma treatment (34 papers), Renal and related cancers (21 papers) and Bladder and Urothelial Cancer Treatments (19 papers). Eric Kauffman collaborates with scholars based in United States, Egypt and United Kingdom. Eric Kauffman's co-authors include Douglas S. Scherr, Casey K. Ng, W. Marston Linehan, Brandon Otto, Gerald Wang, Maria J. Merino, Christopher J. Ricketts, Mitchell H. Sokoloff, Carrie Rinker‐Schaeffer and Alyse D. Portnoff and has published in prestigious journals such as Cell, Journal of Clinical Oncology and Clinical Cancer Research.

In The Last Decade

Eric Kauffman

69 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Kauffman United States 19 730 722 594 331 284 76 1.7k
Yong Mee Cho South Korea 22 687 0.9× 807 1.1× 491 0.8× 225 0.7× 288 1.0× 100 1.8k
Jun Teishima Japan 23 787 1.1× 838 1.2× 435 0.7× 143 0.4× 400 1.4× 186 1.9k
Steffen Rausch Germany 21 497 0.7× 564 0.8× 476 0.8× 239 0.7× 257 0.9× 122 1.4k
Joost L. Boormans Netherlands 27 732 1.0× 830 1.1× 1.5k 2.6× 307 0.9× 308 1.1× 128 2.4k
Hervé Wallerand France 22 666 0.9× 489 0.7× 808 1.4× 160 0.5× 181 0.6× 68 1.6k
Noriomi Miyao Japan 20 536 0.7× 450 0.6× 768 1.3× 200 0.6× 201 0.7× 42 1.4k
Jun Miki Japan 19 457 0.6× 630 0.9× 508 0.9× 159 0.5× 175 0.6× 171 1.6k
Stefan Zastrow Germany 21 509 0.7× 708 1.0× 323 0.5× 119 0.4× 196 0.7× 57 1.3k
Sheila F. Faraj United States 22 330 0.5× 731 1.0× 688 1.2× 87 0.3× 207 0.7× 56 1.5k
Wataru Obara Japan 19 440 0.6× 516 0.7× 402 0.7× 91 0.3× 162 0.6× 139 1.2k

Countries citing papers authored by Eric Kauffman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Kauffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Kauffman

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Kauffman. A scholar is included among the top collaborators of Eric Kauffman 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 Eric Kauffman. Eric Kauffman 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.
Heidar, Nassib Abou, Zhe Jing, Robert C. Satterwhite, et al.. (2025). The Utility of Contemporary Community-Based Prostate Cancer Screening Campaigns. Clinical Genitourinary Cancer. 23(4). 102366–102366. 1 indexed citations
2.
Salgia, Nicholas, Yu Fujiwara, Bo Xu, et al.. (2025). Biological and Clinical Insight into the Prevention and Management of Metastatic Renal Cell Carcinoma with a Sarcomatoid Component. European Urology Focus. 11(3). 421–424.
3.
Salgia, Nicholas, Lin Wang, Kristopher Attwood, et al.. (2024). Stratification of Patients with Renal Cell Carcinoma by the Abundance of Sarcomatoid Features Reveals Differences in Survival and the Underlying Pathobiology. European Urology Oncology. 7(5). 973–977. 3 indexed citations
4.
Shafiei, Somayeh B., et al.. (2024). Classification of subtask types and skill levels in robot-assisted surgery using EEG, eye-tracking, and machine learning. Surgical Endoscopy. 38(9). 5137–5147. 2 indexed citations
5.
Sadagopan, Ananthan, Chunyang Bao, Jiao Li, et al.. (2024). A genetic basis for sex differences in Xp11 translocation renal cell carcinoma. Cell. 187(20). 5735–5752.e25. 9 indexed citations
6.
Wightman, Patrick, Alejandro Francisco‐Cruz, Eric Kauffman, et al.. (2024). Differential effects of obesity on perioperative outcomes in renal cell carcinoma patients based on race and ethnicity and neighborhood-level socioeconomic status. Translational Andrology and Urology. 13(4). 548–559.
7.
Attwood, Kristopher, et al.. (2023). Stability of renal parenchymal volume and function during active surveillance of renal oncocytoma patients. Urologic Oncology Seminars and Original Investigations. 41(4). 208.e15–208.e23. 1 indexed citations
8.
Durrani, Farukh A., Zahra Fayazi, Adam B. Sumlin, et al.. (2023). Excitation of a Single Compound by Light and Ultrasound Enhanced the Long-Term Cure of Mice Bearing Prostate Tumors. International Journal of Molecular Sciences. 24(13). 10624–10624. 1 indexed citations
9.
Hussein, Ahmed A., Umar Iqbal, Zhe Jing, et al.. (2023). Impact of an NCCN-Compliant Multidisciplinary Conference on Treatment Decisions for Localized Prostate Cancer. Journal of the National Comprehensive Cancer Network. 21(4). 359–365.e4. 1 indexed citations
10.
Daza, Jorge, Ali Ahmad, Zhe Jing, et al.. (2023). Does testosterone replacement therapy increase the risk of conversion to treatment in patients with prostate cancer on active surveillance?. Urologic Oncology Seminars and Original Investigations. 41(10). 429.e1–429.e7. 6 indexed citations
11.
Mastri, Michalis, John J. Krolewski, Gurkamal Chatta, et al.. (2022). Loss of MAGEC3 Expression Is Associated with Prognosis in Advanced Ovarian Cancers. Cancers. 14(3). 731–731. 3 indexed citations
12.
13.
Greene, Christopher, et al.. (2018). Suppressive effects of iron chelation in clear cell renal cell carcinoma and their dependency on VHL inactivation. Free Radical Biology and Medicine. 133. 295–309. 17 indexed citations
14.
15.
Damayanti, Nur P., Justin A. Budka, Heba Khella, et al.. (2018). Therapeutic Targeting of TFE3/IRS-1/PI3K/mTOR Axis in Translocation Renal Cell Carcinoma. Clinical Cancer Research. 24(23). 5977–5989. 61 indexed citations
16.
Diorio, Gregory, Diana Mehedint, Kristopher Attwood, et al.. (2015). Early identification of asymptomatic brain metastases from renal cell carcinoma. Clinical & Experimental Metastasis. 32(8). 783–788. 14 indexed citations
17.
Mehedint, Diana, et al.. (2014). Learning Curves for Robot-Assisted and Laparoscopic Partial Nephrectomy. Journal of Endourology. 29(3). 297–303. 63 indexed citations
18.
19.
Kauffman, Eric, Casey K. Ng, Brandon Otto, et al.. (2009). Critical analysis of complications after robotic‐assisted radical cystectomy with identification of preoperative and operative risk factors. British Journal of Urology. 105(4). 520–527. 65 indexed citations
20.
Kauffman, Eric & Jay D. Raman. (2007). Bladder cancer following upper tract urothelial carcinoma. Expert Review of Anticancer Therapy. 8(1). 75–85. 16 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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