Neil Gray

600 total citations
9 papers, 420 citations indexed

About

Neil Gray is a scholar working on Molecular Biology, Oncology and Small Animals. According to data from OpenAlex, Neil Gray has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Small Animals. Recurrent topics in Neil Gray's work include PI3K/AKT/mTOR signaling in cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Ethics in Clinical Research (1 paper). Neil Gray is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Ethics in Clinical Research (1 paper). Neil Gray collaborates with scholars based in United Kingdom, Switzerland and Sweden. Neil Gray's co-authors include Chris Womack, Juliane M. Jürgensmeier, Neil H. James, Anderson J. Ryan, Ruth Swann, Susan Ashton, Kirsty Ratcliffe, Dawn Baker, Martin Jenkins and Neil R. Smith and has published in prestigious journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and British Journal of Cancer.

In The Last Decade

Neil Gray

9 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil Gray United Kingdom	8	252	138	76	68	38	9	420
Timothy A. Yap United Kingdom	8	289 1.1×	200 1.4×	111 1.5×	71 1.0×	53 1.4×	10	568
Adam A. Friedman United States	4	281 1.1×	145 1.1×	119 1.6×	51 0.8×	35 0.9×	6	506
Richa Rathore United States	11	191 0.8×	117 0.8×	130 1.7×	127 1.9×	20 0.5×	21	417
Elena Casanova Italy	11	287 1.1×	150 1.1×	114 1.5×	46 0.7×	19 0.5×	23	508
D D Bigner United States	11	283 1.1×	157 1.1×	85 1.1×	115 1.7×	46 1.2×	14	518
Sarwat Naz United States	11	233 0.9×	117 0.8×	83 1.1×	93 1.4×	36 0.9×	14	394
Hao Mo China	13	226 0.9×	135 1.0×	85 1.1×	86 1.3×	21 0.6×	32	436
Alexis S. Lopez United States	6	226 0.9×	170 1.2×	103 1.4×	98 1.4×	27 0.7×	8	495
Joseph Wynne United States	8	262 1.0×	83 0.6×	98 1.3×	44 0.6×	27 0.7×	13	493
Claudia Capdevila United States	6	175 0.7×	165 1.2×	148 1.9×	73 1.1×	55 1.4×	8	411

Countries citing papers authored by Neil Gray

Since Specialization

Citations

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

Fields of papers citing papers by Neil Gray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Gray

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

All Works

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9 of 9 papers shown

Howat, William, Arthur Lewis, Caroline Kampf, et al.. (2014). Antibody validation of immunohistochemistry for biomarker discovery: Recommendations of a consortium of academic and pharmaceutical based histopathology researchers. Methods. 70(1). 34–38. 68 indexed citations

Cumberbatch, Marie, Ximing Tang, Garry Beran, et al.. (2013). Identification of a Subset of Human Non–Small Cell Lung Cancer Patients with High PI3Kβ and Low PTEN Expression, More Prevalent in Squamous Cell Carcinoma. Clinical Cancer Research. 20(3). 595–603. 22 indexed citations

Dearden, Simon, Chris Harbron, Darren Hodgson, et al.. (2013). Validation of the BRCA1 antibody MS110 and the utility of BRCA1 as a patient selection biomarker in immunohistochemical analysis of breast and ovarian tumours. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 462(3). 269–279. 20 indexed citations

Angell, Helen K., Neil Gray, Christopher J. Womack, et al.. (2013). Digital pattern recognition-based image analysis quantifies immune infiltrates in distinct tissue regions of colorectal cancer and identifies a metastatic phenotype. British Journal of Cancer. 109(6). 1618–1624. 22 indexed citations

Marshall, Gayle, Zoë Howard, Jonathan R. Dry, et al.. (2011). Benefits of mTOR kinase targeting in oncology: pre-clinical evidence with AZD8055. Biochemical Society Transactions. 39(2). 456–459. 28 indexed citations

Smith, Neil R., Dawn Baker, Neil H. James, et al.. (2010). Vascular Endothelial Growth Factor Receptors VEGFR-2 and VEGFR-3 Are Localized Primarily to the Vasculature in Human Primary Solid Cancers. Clinical Cancer Research. 16(14). 3548–3561. 197 indexed citations

Womack, Chris & Neil Gray. (2008). Banking human tissue for research: vision to reality. Cell and Tissue Banking. 10(3). 267–270. 11 indexed citations

Sweeney, Elizabeth, Tim Ward, Neil Gray, et al.. (2008). Quantitative multiplexed quantum dot immunohistochemistry. Biochemical and Biophysical Research Communications. 374(2). 181–186. 46 indexed citations

Womack, Christopher J. & Neil Gray. (2007). Providing Human Tissue for Research: 1996–2006. Pathobiology. 74(4). 212–217. 6 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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