Stephen Rohan

1.3k total citations
28 papers, 879 citations indexed

About

Stephen Rohan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Stephen Rohan has authored 28 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 13 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Stephen Rohan's work include Renal cell carcinoma treatment (13 papers), Renal and related cancers (12 papers) and Cancer Genomics and Diagnostics (8 papers). Stephen Rohan is often cited by papers focused on Renal cell carcinoma treatment (13 papers), Renal and related cancers (12 papers) and Cancer Genomics and Diagnostics (8 papers). Stephen Rohan collaborates with scholars based in United States, United Kingdom and Bosnia and Herzegovina. Stephen Rohan's co-authors include Jean Kao, Jiangling Tu, Yao‐Tseng Chen, Ximing J. Yang, Susan Mathew, Naoki Kitabayashi, Mohammed Akhtar, Xiaoqi Lin, Bing Zhu and Anuradha Gopalan and has published in prestigious journals such as Cancer, Clinical Cancer Research and The Journal of Urology.

In The Last Decade

Stephen Rohan

28 papers receiving 868 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Rohan United States 15 509 459 268 177 133 28 879
Stela Bulimbašić Croatia 17 688 1.4× 526 1.1× 205 0.8× 179 1.0× 85 0.6× 57 926
Gary H. Weiss United States 16 480 0.9× 356 0.8× 307 1.1× 328 1.9× 149 1.1× 32 1.0k
Yang Qu China 16 433 0.9× 302 0.7× 144 0.5× 185 1.0× 376 2.8× 53 1.0k
Chengchu Zhu China 15 376 0.7× 338 0.7× 259 1.0× 226 1.3× 140 1.1× 57 729
Ady Yosepovich Israel 15 167 0.3× 240 0.5× 258 1.0× 165 0.9× 270 2.0× 30 793
Heike Loeser Germany 17 274 0.5× 219 0.5× 136 0.5× 266 1.5× 280 2.1× 30 731
Hiroyuki Takamura Japan 13 350 0.7× 213 0.5× 98 0.4× 162 0.9× 222 1.7× 56 875
Joana Vieira Portugal 14 293 0.6× 344 0.7× 134 0.5× 85 0.5× 220 1.7× 39 701
Ashkan Mortezavi Switzerland 19 622 1.2× 263 0.6× 101 0.4× 246 1.4× 168 1.3× 64 1.1k
Yoshimi Bando Japan 16 259 0.5× 189 0.4× 96 0.4× 209 1.2× 241 1.8× 76 738

Countries citing papers authored by Stephen Rohan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Rohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Rohan

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Rohan. A scholar is included among the top collaborators of Stephen Rohan 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 Stephen Rohan. Stephen Rohan 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.
Rodrigues, Jonathan, Stephen Rohan, Angus K. Nightingale, et al.. (2021). The corrected left ventricular ejection fraction: a potential new measure of ventricular function. International journal of cardiac imaging. 37(6). 1987–1997. 8 indexed citations
2.
Kurtović-Kozarić, Amina, Faruk Skenderi, Ondřej Hes, et al.. (2020). KANK1-NTRK3 fusions define a subset of BRAF mutation negative renal metanephric adenomas. BMC Medical Genetics. 21(1). 202–202. 6 indexed citations
3.
Zhu, Bing, Stephen Rohan, & Xiaoqi Lin. (2020). Cytomorphology, immunoprofile, and management of renal oncocytic neoplasms. Cancer Cytopathology. 128(12). 962–970. 7 indexed citations
4.
Cajaiba, Mariana M., Lisa Dyer, James I. Geller, et al.. (2018). The classification of pediatric and young adult renal cell carcinomas registered on the children's oncology group (COG) protocol AREN03B2 after focused genetic testing. Cancer. 124(16). 3381–3389. 52 indexed citations
5.
Rodrigues, Jonathan, Stephen Rohan, Amardeep Ghosh Dastidar, et al.. (2016). Hypertensive heart disease versus hypertrophic cardiomyopathy: multi-parametric cardiovascular magnetic resonance discriminators when end-diastolic wall thickness ≥ 15 mm. European Radiology. 27(3). 1125–1135. 49 indexed citations
6.
Cajaiba, Mariana M., Lawrence J. Jennings, Stephen Rohan, et al.. (2016). ALKrearranged renal cell carcinomas in children. Genes Chromosomes and Cancer. 55(5). 442–451. 44 indexed citations
7.
Cajaiba, Mariana M., et al.. (2015). Expanding the Spectrum of Renal Tumors in Children. The American Journal of Surgical Pathology. 40(3). 386–394. 17 indexed citations
8.
Zhu, Bing, Stephen Rohan, & Xiaoqi Lin. (2015). Immunoexpression of napsin a in renal neoplasms. Diagnostic Pathology. 10(1). 4–4. 13 indexed citations
9.
Bondarenko, Gennadiy, Andrey Ugolkov, Stephen Rohan, et al.. (2015). Patient-Derived Tumor Xenografts Are Susceptible to Formation of Human Lymphocytic Tumors. Neoplasia. 17(9). 735–741. 65 indexed citations
11.
Lin, Xiaoqi, Bing Zhu, Minghao Zhong, et al.. (2014). The utility of p63, p40, and GATA-binding protein 3 immunohistochemistry in diagnosing micropapillary urothelial carcinoma. Human Pathology. 45(9). 1824–1829. 19 indexed citations
12.
Weisman, Paul, Brian J. Sutton, Kalliopi P. Siziopikou, et al.. (2013). Non–mass-associated intraductal papillomas: is excision necessary?. Human Pathology. 45(3). 583–588. 22 indexed citations
13.
Zhong, Minghao, Paul Weisman, Bing Zhu, et al.. (2013). Xp11.2 Translocation Renal Cell Carcinoma With PSF-TFE3 Rearrangement. Diagnostic Molecular Pathology. 22(2). 107–111. 5 indexed citations
14.
Zhu, Bing, Stephen Rohan, & Xiaoqi Lin. (2012). Urine cytomorphology of micropapillary urothelial carcinoma. Diagnostic Cytopathology. 41(6). 485–491. 12 indexed citations
15.
Rohan, Stephen, et al.. (2011). Metastatic chromophobe renal cell carcinoma in pleural fluid cytology: Review of literature and report of a case. Diagnostic Cytopathology. 40(9). 826–829. 3 indexed citations
16.
17.
Tickoo, Satish K. & Stephen Rohan. (2009). Pathologic Features of Adult Renal Cortical Tumors. Surgical pathology clinics. 2(1). 1–25. 1 indexed citations
18.
Fox, Josef J., Stephen Rohan, & Neeta Pandit‐Taskar. (2009). Breast Carcinoma Metastatic to Renal Oncocytoma Detected on F-18-FDG PET/CT. Clinical Nuclear Medicine. 34(5). 294–295. 4 indexed citations
19.
Tu, Jiangling, Stephen Rohan, Jean Kao, et al.. (2007). Gene fusions between TMPRSS2 and ETS family genes in prostate cancer: frequency and transcript variant analysis by RT-PCR and FISH on paraffin-embedded tissues. Modern Pathology. 20(9). 921–928. 130 indexed citations
20.
Akhtar, Mohammed, et al.. (2006). Survivin: Role in Diagnosis, Prognosis, and Treatment of Bladder Cancer. Advances in Anatomic Pathology. 13(3). 122–126. 51 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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