Robert I. Nicholson

23.8k total citations · 3 hit papers
262 papers, 18.4k citations indexed

About

Robert I. Nicholson is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Robert I. Nicholson has authored 262 papers receiving a total of 18.4k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Genetics, 127 papers in Oncology and 105 papers in Molecular Biology. Recurrent topics in Robert I. Nicholson's work include Estrogen and related hormone effects (122 papers), HER2/EGFR in Cancer Research (82 papers) and Breast Cancer Treatment Studies (31 papers). Robert I. Nicholson is often cited by papers focused on Estrogen and related hormone effects (122 papers), HER2/EGFR in Cancer Research (82 papers) and Breast Cancer Treatment Studies (31 papers). Robert I. Nicholson collaborates with scholars based in United Kingdom, United States and Australia. Robert I. Nicholson's co-authors include Julia M.W. Gee, M. E. Harper, Ian O. Ellis, J.F.R. Robertson, KM Taylor, Denise Barrow, R.W. Blamey, Stephen Hiscox, Janice M. Knowlden and Iain R. Hutcheson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Robert I. Nicholson

257 papers receiving 17.9k citations

Hit Papers

EGFR and cancer prognosis 1982 2026 1996 2011 2001 1993 1982 500 1000 1.5k

Peers

Robert I. Nicholson
J.F.R. Robertson United Kingdom
Suzanne A.W. Fuqua United States
Robert B. Dickson United States
H. Shelton Earp United States
John T. Isaacs United States
Tito Fojo United States
Paul Dent United States
J.F.R. Robertson United Kingdom
Robert I. Nicholson
Citations per year, relative to Robert I. Nicholson Robert I. Nicholson (= 1×) peers J.F.R. Robertson

Countries citing papers authored by Robert I. Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Robert I. Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert I. Nicholson

This figure shows the co-authorship network connecting the top 25 collaborators of Robert I. Nicholson. A scholar is included among the top collaborators of Robert I. Nicholson 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 I. Nicholson. Robert I. Nicholson 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.
Thewes, Verena, Ronald Simon, Magdalena Schlotter, et al.. (2015). Reprogramming of the ERRα and ERα Target Gene Landscape Triggers Tamoxifen Resistance in Breast Cancer. Cancer Research. 75(4). 720–731. 35 indexed citations
2.
Stone, Andrew, Mark J. Cowley, Fátima Valdés‐Mora, et al.. (2013). BCL-2 Hypermethylation Is a Potential Biomarker of Sensitivity to Antimitotic Chemotherapy in Endocrine-Resistant Breast Cancer. Molecular Cancer Therapeutics. 12(9). 1874–1885. 39 indexed citations
3.
Smith, Christopher R., Lindy Goddard, Nicola Jordan, et al.. (2013). Targeting focal adhesion kinase in ER+/HER2+ breast cancer improves trastuzumab response. Endocrine Related Cancer. 20(5). 691–704. 31 indexed citations
4.
Gee, Julia M.W., Robert I. Nicholson, Denise Barrow, et al.. (2011). Antihormone induced compensatory signalling in breast cancer: an adverse event in the development of endocrine resistance. Hormone Molecular Biology and Clinical Investigation. 5(2). 67–77. 6 indexed citations
5.
Law, Jennifer, Golareh Habibi, Kaiji Hu, et al.. (2008). Phosphorylated Insulin-Like Growth Factor-I/Insulin Receptor Is Present in All Breast Cancer Subtypes and Is Related to Poor Survival. Cancer Research. 68(24). 10238–10246. 339 indexed citations
6.
Hurtado, Antoni, Kelly A. Holmes, Timothy R. Geistlinger, et al.. (2008). Regulation of ERBB2 by oestrogen receptor–PAX2 determines response to tamoxifen. Nature. 456(7222). 663–666. 239 indexed citations
7.
Hiscox, Stephen & Robert I. Nicholson. (2008). Src inhibitors in breast cancer therapy. Expert Opinion on Therapeutic Targets. 12(6). 757–767. 28 indexed citations
8.
Hutcheson, Iain R., Julia M.W. Gee, Denise Barrow, et al.. (2004). Treatment of tamoxifen-resistant MCF-7 breast cancer cells with either gefitinib ('Iressa') or trastuzumab (Herceptin((R))) generates cross-resistant phenotypes [Abstract]. Breast Cancer Research and Treatment. 2 indexed citations
10.
Knowlden, Janice M., Iain R. Hutcheson, Helen E. Jones, et al.. (2003). Elevated Levels of Epidermal Growth Factor Receptor/c-erbB2 Heterodimers Mediate an Autocrine Growth Regulatory Pathway in Tamoxifen-Resistant MCF-7 Cells. Endocrinology. 144(3). 1032–1044. 432 indexed citations
11.
Glynne-Jones, E, M. E. Harper, Liam T. Seery, et al.. (2001). TENB2, a proteoglycan identified in prostate cancer that is associated with disease progression and androgen independence. International Journal of Cancer. 94(2). 178–184. 50 indexed citations
12.
Crew, A. Jayne, Julia M.W. Gee, Rina Hui, et al.. (2000). Up-regulation of the protein tyrosine phosphatase SHP-1 in human breast cancer and correlation withGRB2 expression. International Journal of Cancer. 88(3). 363–368. 55 indexed citations
13.
Seery, Liam T., Janice M. Knowlden, Julia M.W. Gee, et al.. (1999). BRCA1 expression levels predict distant metastasis of sporadic breast cancers. International Journal of Cancer. 84(3). 258–262. 3 indexed citations
14.
Willsher, Peter C., S Pinder, Julia M.W. Gee, et al.. (1999). C-erbB2 expression predicts response to preoperative chemotherapy for locally advanced breast cancer.. PubMed. 18(5B). 3695–8. 25 indexed citations
15.
Eliopoulos, Aristides G., Demetrios�� Spandidos, David Barnes, et al.. (1995). Expression of ras p21, p53 and c-erbB-2 in advanced breast cancer and response to first line hormonal therapy. British Journal of Cancer. 72(5). 1259–1266. 130 indexed citations
16.
Nicholson, Robert I., et al.. (1990). Postfinishing mineralization of skeletal tissue in replacement gilts. Kansas Agricultural Experiment Station Research Reports. 72–75.
17.
Nicholson, Robert I., David A. Nichols, Joe D Hancock, et al.. (1989). Space requirements of finishing pigs fed to an average pen weight of 250 pounds. Kansas Agricultural Experiment Station Research Reports. 157–159. 1 indexed citations
18.
Leclercq, Guy, Hans Bojar, J Goussard, et al.. (1986). Abbott monoclonal enzyme immunoassay measurement of estrogen receptors in human breast cancer: a European multicenter study.. PubMed. 46(8 Suppl). 4233s–4236s. 73 indexed citations
19.
Nicholson, Robert I., K. Griffiths, R.W. Blamey, H Bishop, & J. L. Haybittle. (1981). Estrogen receptors and breast cancer.. Environmental Health Perspectives. 38. 143–146. 4 indexed citations
20.
Blamey, R.W., H Bishop, C.W. Elston, et al.. (1980). Relationship between primary breast tumor receptor status and patient survival. Cancer. 46(S12). 2765–2769. 94 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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