Robert Worrell

37.6k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Robert Worrell is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert Worrell has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert Worrell's work include Renal cell carcinoma treatment (7 papers), Cancer Genomics and Diagnostics (6 papers) and Renal and related cancers (4 papers). Robert Worrell is often cited by papers focused on Renal cell carcinoma treatment (7 papers), Cancer Genomics and Diagnostics (6 papers) and Renal and related cancers (4 papers). Robert Worrell collaborates with scholars based in United States, Cameroon and Switzerland. Robert Worrell's co-authors include W. Marston Linehan, Richard D. Klausner, Arnim Pause, Wilson H. Burgess, David Y.T. Chen, Stephen Lee, Kirsten D. Mertz, Rameen Beroukhim, Maira M. Pires and Sabina Signoretti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Clinical Cancer Research.

In The Last Decade

Robert Worrell

16 papers receiving 1.1k citations

Hit Papers

Patterns of Gene Expression and Copy-Number Alterations i... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Worrell United States 12 802 556 450 180 112 16 1.1k
Lakshmi Ravindranath United States 19 813 1.0× 529 1.0× 704 1.6× 166 0.9× 108 1.0× 33 1.3k
Ai-Hong Ma United States 14 725 0.9× 521 0.9× 256 0.6× 128 0.7× 128 1.1× 17 1.0k
Yong Sung Kim South Korea 25 1.1k 1.4× 592 1.1× 206 0.5× 248 1.4× 178 1.6× 53 1.5k
Ruth F. Dumpit United States 15 481 0.6× 274 0.5× 504 1.1× 217 1.2× 78 0.7× 20 913
Christopher Fiore United States 11 631 0.8× 303 0.5× 261 0.6× 138 0.8× 124 1.1× 13 962
Yen‐Nien Liu Taiwan 20 700 0.9× 483 0.9× 401 0.9× 284 1.6× 70 0.6× 37 1.1k
Brenda K. Shell United States 10 1.0k 1.3× 265 0.5× 183 0.4× 212 1.2× 159 1.4× 10 1.2k
Yow-Ling Shiue Taiwan 21 523 0.7× 242 0.4× 145 0.3× 224 1.2× 127 1.1× 33 896
Jillian Howlin Sweden 14 732 0.9× 469 0.8× 211 0.5× 471 2.6× 140 1.3× 20 1.2k
Kati K. Waltering Finland 15 1.3k 1.6× 1.2k 2.1× 655 1.5× 142 0.8× 231 2.1× 16 1.8k

Countries citing papers authored by Robert Worrell

Since Specialization
Citations

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

Fields of papers citing papers by Robert Worrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Worrell

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Worrell. A scholar is included among the top collaborators of Robert Worrell 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 Worrell. Robert Worrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Yang, Youfeng, Cathy D. Vocke, Christopher J. Ricketts, et al.. (2017). Genomic and metabolic characterization of a chromophobe renal cell carcinoma cell line model (UOK276). Genes Chromosomes and Cancer. 56(10). 719–729. 16 indexed citations
2.
Liu, Nick, Thomas Sanford, Ramaprasad Srinivasan, et al.. (2012). Impact of Ischemia and Procurement Conditions on Gene Expression in Renal Cell Carcinoma. Clinical Cancer Research. 19(1). 42–49. 30 indexed citations
3.
Beroukhim, Rameen, Arianna Di Napoli, Kirsten D. Mertz, et al.. (2009). Patterns of Gene Expression and Copy-Number Alterations in von-Hippel Lindau Disease-Associated and Sporadic Clear Cell Carcinoma of the Kidney. Cancer Research. 69(11). 4674–4681. 310 indexed citations breakdown →
4.
Liu, Nick, Kiranpreet Khurana, Thomas Sanford, et al.. (2009). IMPACT OF ISCHEMIA AND TISSUE PROCUREMENT CONDITIONS ON GENE EXPRESSION IN RENAL CELL CARCINOMA. The Journal of Urology. 181(4S). 155–156. 1 indexed citations
5.
Yang, Youfeng, Hesed Padilla‐Nash, Manish Vira, et al.. (2008). The UOK 257 cell line: a novel model for studies of the human Birt–Hogg–Dubé gene pathway. Cancer Genetics and Cytogenetics. 180(2). 100–109. 44 indexed citations
6.
Phillips, Jacqueline K., Thanh Huynh, Karel Pacák, et al.. (2007). Neuropeptide Y expression in phaeochromocytomas: relative absence in tumours from patients with von Hippel–Lindau syndrome. Journal of Endocrinology. 193(2). 225–233. 9 indexed citations
7.
Huynh, Thanh‐Truc, Karel Pacák, Frederieke M. Brouwers, et al.. (2005). Different expression of catecholamine transporters in phaeochromocytomas from patients with von Hippel-Lindau syndrome and multiple endocrine neoplasia type 2. European Journal of Endocrinology. 153(4). 551–563. 38 indexed citations
8.
Loaiza‐Perez, Andrea, Susan Kenney, Melinda G. Hollingshead, et al.. (2004). SENSITIVITY OF RENAL CELL CARCINOMA TO AMINOFLAVONE: ROLE OF CYP1A1. The Journal of Urology. 171(4). 1688–1697. 26 indexed citations
9.
Vasselli, James R., Joanna H. Shih, Shuba R. Iyengar, et al.. (2003). Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor. Proceedings of the National Academy of Sciences. 100(12). 6958–6963. 127 indexed citations
10.
Phillips, John L., Β. Michael Ghadimi, Danny Wangsa, et al.. (2001). Molecular cytogenetic characterization of early and late renal cell carcinomas in Von Hippel‐Lindau disease. Genes Chromosomes and Cancer. 31(1). 1–9. 23 indexed citations
11.
Gamelin, Érick, Susan D. Mertins, Joanna Regis, et al.. (1999). INTRINSIC DRUG RESISTANCE IN PRIMARY AND METASTATIC RENAL CELL CARCINOMA. The Journal of Urology. 162(1). 217–224. 17 indexed citations
12.
Pause, Arnim, Stephen Lee, Robert Worrell, et al.. (1997). The von Hippel-Lindau tumor-suppressor gene product forms a stable complex with human CUL-2, a member of the Cdc53 family of proteins. Proceedings of the National Academy of Sciences. 94(6). 2156–2161. 403 indexed citations
13.
Worrell, Robert, et al.. (1994). Dexamethasone-Mediated Induction of MMTV-myf5 in DD3 Myoblasts Increases Endogenous myogenin Expression but Does Not Transactivate myf5. Experimental Cell Research. 212(2). 321–328. 7 indexed citations
14.
Barth, Jeremy L., et al.. (1993). Isolation, sequence, and characterization of the bovine myogenic factor-encoding gene myf-5. Gene. 127(2). 185–191. 11 indexed citations
15.
Turner, Bruce J., et al.. (1985). Extensive Chromosomal Divergence Within a Single River Basin in the Goodeid Fish, Ilyodon furcidens. Evolution. 39(1). 122–122. 9 indexed citations
16.
Turner, Bruce J., et al.. (1985). EXTENSIVE CHROMOSOMAL DIVERGENCE WITHIN A SINGLE RIVER BASIN IN THE GOODEID FISH, ILYODON FURCIDENS. Evolution. 39(1). 122–134. 23 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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