Satish K. Tickoo

22.3k total citations · 4 hit papers
187 papers, 11.9k citations indexed

About

Satish K. Tickoo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Satish K. Tickoo has authored 187 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Pulmonary and Respiratory Medicine, 93 papers in Molecular Biology and 72 papers in Surgery. Recurrent topics in Satish K. Tickoo's work include Renal cell carcinoma treatment (91 papers), Renal and related cancers (71 papers) and Bladder and Urothelial Cancer Treatments (37 papers). Satish K. Tickoo is often cited by papers focused on Renal cell carcinoma treatment (91 papers), Renal and related cancers (71 papers) and Bladder and Urothelial Cancer Treatments (37 papers). Satish K. Tickoo collaborates with scholars based in United States, Canada and United Kingdom. Satish K. Tickoo's co-authors include Victor E. Reuter, Mahul B. Amin, Paul Russo, Anuradha Gopalan, Hikmat Al‐Ahmadie, Samson W. Fine, John R. Srigley, Ying‐Bei Chen, Holger Moch and Jonathan I. Epstein and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Satish K. Tickoo

185 papers receiving 11.7k citations

Hit Papers

The International Society of Urological Pathology (ISUP) ... 2013 2026 2017 2021 2013 2016 2022 2022 200 400 600

Peers

Satish K. Tickoo
Ming Zhou United States
Daniel M. Berney United Kingdom
John N. Eble United States
Hikmat Al‐Ahmadie United States
Jeeyun Lee South Korea
A. Ari Hakimi United States
Ming Zhou United States
Satish K. Tickoo
Citations per year, relative to Satish K. Tickoo Satish K. Tickoo (= 1×) peers Ming Zhou

Countries citing papers authored by Satish K. Tickoo

Since Specialization
Citations

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

Fields of papers citing papers by Satish K. Tickoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satish K. Tickoo. 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 Satish K. Tickoo. The network helps show where Satish K. Tickoo may publish in the future.

Co-authorship network of co-authors of Satish K. Tickoo

This figure shows the co-authorship network connecting the top 25 collaborators of Satish K. Tickoo. A scholar is included among the top collaborators of Satish K. Tickoo 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 Satish K. Tickoo. Satish K. Tickoo 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.
Bremmer, Felix, Fleur Webster, Gedske Daugaard, et al.. (2025). Second edition ICCR dataset for testicular germ cell tumours: a reporting guide for histopathological diagnosis of orchiectomy specimens. Histopathology. 88(1). 252–264. 1 indexed citations
2.
Blum, Kyle A., Andrew W. Silagy, Andrea Knežević, et al.. (2023). Localised non‐metastatic sarcomatoid renal cell carcinoma: a 31‐year externally verified study. British Journal of Urology. 133(2). 169–178. 3 indexed citations
3.
Khaleel, Sari, Hong Truong, Song Jiang, et al.. (2023). Adverse pathologic features impact survival outcomes for small renal masses following nephrectomy. Urologic Oncology Seminars and Original Investigations. 41(9). 391.e5–391.e11. 1 indexed citations
4.
Compérat, Éva, Mahul B. Amin, Daniel M. Berney, et al.. (2022). What's new in WHO fifth edition – urinary tract. Histopathology. 81(4). 439–446. 16 indexed citations
5.
Lobo, João, Riuko Ohashi, Mahul B. Amin, et al.. (2022). WHO 2022 landscape of papillary and chromophobe renal cell carcinoma. Histopathology. 81(4). 426–438. 61 indexed citations
6.
Netto, George J., Mahul B. Amin, Daniel M. Berney, et al.. (2022). The 2022 World Health Organization Classification of Tumors of the Urinary System and Male Genital Organs—Part B: Prostate and Urinary Tract Tumors. European Urology. 82(5). 469–482. 140 indexed citations breakdown →
7.
Teo, Min Yuen, Hikmat Al‐Ahmadie, Kenneth Seier, et al.. (2021). Natural history, response to systemic therapy, and genomic landscape of plasmacytoid urothelial carcinoma. British Journal of Cancer. 124(7). 1214–1221. 21 indexed citations
8.
Feldman, Darren R., Yasser Ged, Chung‐Han Lee, et al.. (2020). Everolimus plus bevacizumab is an effective first‐line treatment for patients with advanced papillary variant renal cell carcinoma: Final results from a phase II trial. Cancer. 126(24). 5247–5255. 27 indexed citations
9.
Gupta, Sounak, Chad Vanderbilt, Wassim Abida, et al.. (2020). Immunohistochemistry-based assessment of androgen receptor status and the AR-null phenotype in metastatic castrate resistant prostate cancer. Prostate Cancer and Prostatic Diseases. 23(3). 507–516. 10 indexed citations
10.
Ren, Qinghu, Lu Wang, Hikmat Al‐Ahmadie, et al.. (2018). Distinct Genomic Copy Number Alterations Distinguish Mucinous Tubular and Spindle Cell Carcinoma of the Kidney From Papillary Renal Cell Carcinoma With Overlapping Histologic Features. The American Journal of Surgical Pathology. 42(6). 767–777. 32 indexed citations
11.
Reznik, Ed, Martin L. Miller, Yasin Şenbabaoğlu, et al.. (2016). Mitochondrial DNA copy number variation across human cancers. eLife. 5. 376 indexed citations
12.
Karlo, Christoph, Lei Kou, Pier Luigi Di Paolo, et al.. (2016). Renal cell carcinoma: A nomogram for the CT imaging-inclusive prediction of indolent, non-clear cell renal cortical tumours. European Journal of Cancer. 59. 57–64. 12 indexed citations
13.
Hakimi, A. Ari, Ed Reznik, Chung‐Han Lee, et al.. (2016). An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma. Cancer Cell. 29(1). 104–116. 531 indexed citations breakdown →
14.
Hakimi, A. Ari, Irina Ostrovnaya, Boris Reva, et al.. (2013). Adverse Outcomes in Clear Cell Renal Cell Carcinoma with Mutations of 3p21 Epigenetic Regulators BAP1 and SETD2 : A Report by MSKCC and the KIRC TCGA Research Network. Clinical Cancer Research. 19(12). 3259–3267. 267 indexed citations
15.
Hakimi, A. Ari, Ying‐Bei Chen, James Wren, et al.. (2012). Clinical and Pathologic Impact of Select Chromatin-modulating Tumor Suppressors in Clear Cell Renal Cell Carcinoma. European Urology. 63(5). 848–854. 174 indexed citations
16.
Gopalan, Anuradha, Margaret Leversha, Jaya M. Satagopan, et al.. (2009). TMPRSS2-ERG Gene Fusion Is Not Associated with Outcome in Patients Treated by Prostatectomy. Cancer Research. 69(4). 1400–1406. 189 indexed citations
17.
Huang, Qin, Raj K. Goyal, Adebowale Adeniran, et al.. (2007). Genitourinary. Modern Pathology. 20. 133–186. 1 indexed citations
18.
Milowsky, Matthew I., et al.. (2001). Active chemotherapy for collecting duct carcinoma of the kidney. Cancer. 94(1). 111–116. 69 indexed citations
19.
Amin, Mitual, Satish K. Tickoo, Daniel S. Schultz, & Mahul B. Amin. (1999). Myelolipoma of the Renal Sinus. Archives of Pathology & Laboratory Medicine. 123(7). 631–634. 5 indexed citations
20.
Tickoo, Satish K., Victor E. Reuter, Mahul B. Amin, et al.. (1999). Renal Oncocytosis. The American Journal of Surgical Pathology. 23(9). 1094–1094. 150 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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