T. Gulliford

582 total citations
10 papers, 456 citations indexed

About

T. Gulliford is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, T. Gulliford has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in T. Gulliford's work include HER2/EGFR in Cancer Research (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). T. Gulliford is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). T. Gulliford collaborates with scholars based in United Kingdom, Switzerland and Denmark. T. Gulliford's co-authors include Richard J. Epstein, I. W. F. Hanham, Emily Wilson, K W Colston, Sebastian Möller, R. Charles Coombes, J English, Ian A. Cree, Louise A. Knight and Federica Di Nicolantonio and has published in prestigious journals such as Journal of Biological Chemistry, British Journal of Cancer and BMC Cancer.

In The Last Decade

T. Gulliford

10 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Gulliford United Kingdom 8 230 134 130 96 68 10 456
M. Holtkamp Netherlands 9 220 1.0× 128 1.0× 98 0.8× 81 0.8× 80 1.2× 13 442
Karen Zempolich United States 11 196 0.9× 219 1.6× 62 0.5× 89 0.9× 114 1.7× 18 635
Reinaldo Chacón Argentina 13 302 1.3× 166 1.2× 59 0.5× 151 1.6× 79 1.2× 26 580
Janet Fricker United Kingdom 9 160 0.7× 121 0.9× 38 0.3× 56 0.6× 52 0.8× 98 465
Deniz Yamaç Türkiye 13 211 0.9× 147 1.1× 66 0.5× 83 0.9× 56 0.8× 44 439
Joanne Jeter United States 14 349 1.5× 154 1.1× 126 1.0× 117 1.2× 170 2.5× 37 675
Claudia Arce-Salinas Mexico 11 241 1.0× 138 1.0× 47 0.4× 177 1.8× 64 0.9× 25 448
Janiel M. Cragun United States 18 202 0.9× 177 1.3× 88 0.7× 79 0.8× 46 0.7× 31 1.2k
Sylvain L’Espérance Canada 12 157 0.7× 261 1.9× 79 0.6× 111 1.2× 36 0.5× 15 530
Sing‐Huang Tan Singapore 14 279 1.2× 229 1.7× 62 0.5× 145 1.5× 114 1.7× 23 582

Countries citing papers authored by T. Gulliford

Since Specialization
Citations

This map shows the geographic impact of T. Gulliford'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 T. Gulliford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Gulliford more than expected).

Fields of papers citing papers by T. Gulliford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Gulliford

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

All Works

10 of 10 papers shown
1.
Glaysher, Sharon, Dennis Yiannakis, Francis G Gabriel, et al.. (2009). Resistance gene expression determines the in vitro chemosensitivity of non-small cell lung cancer (NSCLC). BMC Cancer. 9(1). 300–300. 33 indexed citations
2.
Nicolantonio, Federica Di, Stuart Mercer, Louise A. Knight, et al.. (2005). Cancer cell adaptation to chemotherapy. BMC Cancer. 5(1). 78–78. 112 indexed citations
3.
Cree, Ian A., Louise A. Knight, Federica Di Nicolantonio, Sanjay Sharma, & T. Gulliford. (2002). Chemosensitization of solid tumor cells by alteration of their susceptibility to apoptosis.. PubMed. 3(4). 641–7. 13 indexed citations
4.
Cree, Ian A., Louise A. Knight, Federica Di Nicolantonio, Sanjay Sharma, & T. Gulliford. (2002). Chemosensitization of solid tumors by modulation of resistance mechanisms.. PubMed. 3(4). 634–40. 15 indexed citations
5.
Ouyang, Xiaomei, T. Gulliford, Guo Huang, et al.. (2001). Multisite phosphotyping of the ErbB-2 oncoprotein in human breast cancer. Molecular Diagnosis. 6(1). 17–25. 1 indexed citations
7.
Gulliford, T., et al.. (1998). A phase I study of the vitamin D analogue EB 1089 in patients with advanced breast and colorectal cancer. British Journal of Cancer. 78(1). 6–13. 127 indexed citations
8.
Gulliford, T., et al.. (1997). Popularity of less frequent follow up for breast cancer in randomised study: initial findings from the hotline study. BMJ. 314(7075). 174–174. 113 indexed citations
9.
Ouyang, Xiaomei, T. Gulliford, Hongyi Zhang, Guo Huang, & Richard J. Epstein. (1996). Human Cancer Cells Exhibit Protein Kinase C-dependent c-erbB-2 Transmodulation That Correlates with Phosphatase Sensitivity and Kinase Activity. Journal of Biological Chemistry. 271(36). 21786–21792. 22 indexed citations
10.
Bower, Mark, C. Brock, T. Gulliford, et al.. (1996). A weekly alternating chemotherapy regimen with low toxicity for the treatment of aggressive lymphoma. Cancer Chemotherapy and Pharmacology. 38(1). 106–109. 7 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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