Stephen Friend

63.6k total citations · 12 hit papers
133 papers, 28.4k citations indexed

About

Stephen Friend is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Stephen Friend has authored 133 papers receiving a total of 28.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 41 papers in Oncology and 20 papers in Cancer Research. Recurrent topics in Stephen Friend's work include Cancer-related Molecular Pathways (32 papers), Cancer Genomics and Diagnostics (18 papers) and Bioinformatics and Genomic Networks (18 papers). Stephen Friend is often cited by papers focused on Cancer-related Molecular Pathways (32 papers), Cancer Genomics and Diagnostics (18 papers) and Bioinformatics and Genomic Networks (18 papers). Stephen Friend collaborates with scholars based in United States, United Kingdom and Canada. Stephen Friend's co-authors include René Bernards, Hongyue Dai, Peter S. Linsley, Matthew J. Marton, Robert A. Weinberg, Yudong D. He, Mao Mao, Marc J. van de Vijver, Augustinus A. M. Hart and George J. Schreiber and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Stephen Friend

131 papers receiving 27.5k citations

Hit Papers

Gene expression profiling... 1986 2026 1999 2012 2002 1990 2012 1986 1988 2.0k 4.0k 6.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Friend 17.5k 9.4k 5.6k 5.2k 2.1k 133 28.4k
Joseph R. Nevins 28.8k 1.6× 16.0k 1.7× 5.4k 1.0× 9.0k 1.7× 1.8k 0.8× 281 39.2k
Jeffrey M. Trent 20.5k 1.2× 7.3k 0.8× 5.9k 1.0× 6.1k 1.2× 3.5k 1.6× 384 31.5k
Charis Eng 24.0k 1.4× 9.8k 1.0× 8.3k 1.5× 7.6k 1.5× 4.1k 1.9× 647 44.8k
René Bernards 30.7k 1.8× 16.4k 1.8× 9.8k 1.7× 6.2k 1.2× 3.9k 1.8× 322 44.6k
Yusuke Nakamura 11.8k 0.7× 5.2k 0.6× 3.4k 0.6× 5.7k 1.1× 1.7k 0.8× 426 22.7k
J. Jack Lee 17.2k 1.0× 14.9k 1.6× 7.5k 1.3× 3.1k 0.6× 11.4k 5.3× 1.1k 50.3k
Paul Kleihues 19.8k 1.1× 7.8k 0.8× 11.7k 2.1× 1.7k 0.3× 8.5k 4.0× 296 53.7k
Paul S. Meltzer 22.7k 1.3× 9.2k 1.0× 7.2k 1.3× 5.3k 1.0× 5.6k 2.6× 384 36.0k
David W. Russell 29.5k 1.7× 8.0k 0.9× 4.7k 0.8× 11.2k 2.2× 2.3k 1.1× 542 52.6k
Michael Simons 18.7k 1.1× 3.2k 0.3× 4.1k 0.7× 1.8k 0.3× 2.3k 1.1× 432 34.6k

Countries citing papers authored by Stephen Friend

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Friend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Friend

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Friend. A scholar is included among the top collaborators of Stephen Friend 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 Friend. Stephen Friend 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.
Jarman, Heather, Robert Crouch, Stephen Friend, & Elaine Cole. (2023). Establishing the research priorities for major trauma in the United Kingdom: A Delphi study of nurses and allied health professionals. International Emergency Nursing. 67. 101265–101265.
2.
Goodday, Sarah, et al.. (2022). The Post-Roe Political Landscape Demands a Morality of Caution for Women’s Health. Journal of Medical Internet Research. 24(10). e41417–e41417. 5 indexed citations
3.
Goodday, Sarah, John Geddes, & Stephen Friend. (2021). Disrupting the power balance between doctors and patients in the digital era. The Lancet Digital Health. 3(3). e142–e143. 11 indexed citations
4.
Neto, Elias Chaibub, Abhishek Pratap, Thanneer M. Perumal, et al.. (2019). Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digital Medicine. 2(1). 99–99. 46 indexed citations
5.
Axelsson, A., Emily Tubbs, Brig Mecham, et al.. (2017). Sulforaphane reduces hepatic glucose production and improves glucose control in patients with type 2 diabetes. Science Translational Medicine. 9(394). 257 indexed citations
6.
Hofree, Matan, Hannah Carter, Jason F. Kreisberg, et al.. (2016). Challenges in identifying cancer genes by analysis of exome sequencing data. Nature Communications. 7(1). 12096–12096. 29 indexed citations
7.
Bot, Brian M., Christine Suver, Elias Chaibub Neto, et al.. (2016). The mPower study, Parkinson disease mobile data collected using ResearchKit. Scientific Data. 3(1). 160011–160011. 404 indexed citations breakdown →
8.
Dienstmann, Rodrigo, Justin Guinney, Mauro Delorenzi, et al.. (2014). Colorectal Cancer Subtyping Consortium (CRCSC) Identifies Consensus of Molecular Subtypes. Annals of Oncology. 25. ii115–ii115. 4 indexed citations
9.
Ferté, Charles, Andrew D. Trister, Erich Huang, et al.. (2013). Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology. Clinical Cancer Research. 19(16). 4315–4325. 33 indexed citations
10.
Guinney, Justin, Charles Ferté, Jonathan R. Dry, et al.. (2013). Modeling RAS Phenotype in Colorectal Cancer Uncovers Novel Molecular Traits of RAS Dependency and Improves Prediction of Response to Targeted Agents in Patients. Clinical Cancer Research. 20(1). 265–272. 30 indexed citations
11.
Omberg, Larsson, Kyle Ellrott, Yuan Yuan, et al.. (2013). Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas. Nature Genetics. 45(10). 1121–1126. 75 indexed citations
12.
Hannum, Gregory, Justin Guinney, Ling Zhao, et al.. (2012). Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates. Molecular Cell. 49(2). 359–367. 2548 indexed citations breakdown →
13.
Dai, Hongyue, Laura van’t Veer, John R. Lamb, et al.. (2005). A Cell Proliferation Signature Is a Marker of Extremely Poor Outcome in a Subpopulation of Breast Cancer Patients. Cancer Research. 65(10). 4059–4066. 207 indexed citations
14.
Veer, Laura van ‘t, Hongyue Dai, Marc J. van de Vijver, et al.. (2002). Gene expression profiling predicts clinical outcome of breast cancer. Nature. 415(6871). 530–536. 7033 indexed citations breakdown →
15.
Hughes, Timothy R., Chris Roberts, Hongyue Dai, et al.. (2000). Widespread aneuploidy revealed by DNA microarray expression profiling. Nature Genetics. 25(3). 333–337. 384 indexed citations
16.
Friend, Stephen. (1999). How DNA microarrays and expression profiling will affect clinical practice. BMJ. 319(7220). 1306–1306. 20 indexed citations
17.
Russo, Carolyn, et al.. (1994). Secondary breast cancer in patients presenting with osteosarcoma: Possible involvement of germline p53 mutations. Medical and Pediatric Oncology. 23(4). 354–358. 15 indexed citations
18.
Flaman, Jean‐Michel, Thierry Frébourg, Viviane Moreau, et al.. (1994). A rapid PCR fidelity assay. Nucleic Acids Research. 22(15). 3259–3260. 89 indexed citations
19.
Frébourg, Thierry & Stephen Friend. (1992). Cancer risks from germline p53 mutations.. Journal of Clinical Investigation. 90(5). 1637–1641. 58 indexed citations
20.
Diller, Lisa, J Kassel, Mark C. Gebhardt, et al.. (1990). p53 Functions as a Cell Cycle Control Protein in Osteosarcomas. Molecular and Cellular Biology. 10(11). 5772–5781. 209 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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