Kathryn Graham

1.1k total citations
37 papers, 846 citations indexed

About

Kathryn Graham is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Kathryn Graham has authored 37 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Kathryn Graham's work include Endometrial and Cervical Cancer Treatments (6 papers), Cervical Cancer and HPV Research (5 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Kathryn Graham is often cited by papers focused on Endometrial and Cervical Cancer Treatments (6 papers), Cervical Cancer and HPV Research (5 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Kathryn Graham collaborates with scholars based in United Kingdom, Canada and United States. Kathryn Graham's co-authors include John R. Mackey, Sambasivarao Damaraju, Sunita Ghosh, Preethi Krishnan, Olga Kovalchuk, Darryl Glubrecht, Roseline Godbout, Vickie E. Baracos, Xinxia Zhu and Gregory D. Scott and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Kathryn Graham

32 papers receiving 833 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathryn Graham United Kingdom 15 537 250 116 110 76 37 846
Guogen Mao United States 14 1.0k 1.9× 479 1.9× 114 1.0× 88 0.8× 47 0.6× 16 1.3k
Rosa Aledo Spain 20 507 0.9× 166 0.7× 112 1.0× 58 0.5× 85 1.1× 36 882
Huifei Liu United States 12 807 1.5× 176 0.7× 83 0.7× 119 1.1× 60 0.8× 29 1.2k
Kotaro Horiguchi Japan 18 593 1.1× 164 0.7× 100 0.9× 249 2.3× 26 0.3× 75 1.1k
Shailaja Akunuru United States 14 528 1.0× 125 0.5× 82 0.7× 197 1.8× 82 1.1× 14 900
Tristan V. de Jong Netherlands 9 561 1.0× 180 0.7× 415 3.6× 111 1.0× 61 0.8× 10 1.0k
Drorit Luria Israel 19 393 0.7× 142 0.6× 140 1.2× 110 1.0× 39 0.5× 40 939
Kun Guo China 10 800 1.5× 141 0.6× 135 1.2× 209 1.9× 45 0.6× 14 993
Mark Bowser United States 16 578 1.1× 180 0.7× 58 0.5× 140 1.3× 47 0.6× 20 1.0k
Scott A. Coats United States 10 428 0.8× 206 0.8× 88 0.8× 110 1.0× 80 1.1× 11 956

Countries citing papers authored by Kathryn Graham

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Graham. A scholar is included among the top collaborators of Kathryn Graham 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 Kathryn Graham. Kathryn Graham 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.
2.
Schneider, D., B. Mascialino, Kathryn Graham, et al.. (2025). A Real-World Retrospective Observational Study of Patients with Advanced/Recurrent Endometrial Cancer Across England. Oncology and Therapy. 13(3). 765–781.
3.
Mueller, Tanja, Kimberley Kavanagh, Janet Graham, et al.. (2022). Opportunities and challenges when using record linkage of routinely collected electronic health care data to evaluate outcomes of systemic anti-cancer treatment in clinical practice. Health Informatics Journal. 28(1). 1197562431–1197562431. 2 indexed citations
4.
5.
Garcez, Kate, Kathryn Graham, Warren Grant, et al.. (2022). Dabrafenib and Trametinib Therapy for Advanced Anaplastic Thyroid Cancer – Real-World Outcomes From UK Centres. Clinical Oncology. 35(1). e60–e66. 19 indexed citations
6.
Reed, Nicholas, Jiafeng Pan, Marion Bennie, et al.. (2021). Retrospective cohort study of neoadjuvant chemotherapy followed by tailored surgery in locally advanced sphincter-threatening vulval cancer: an alternative to exenteration?. European Journal of Gynaecological Oncology. 42(5). 917–917. 1 indexed citations
7.
Reed, Nicholas S., Jiafeng Pan, Kimberley Kavanagh, et al.. (2021). Neoadjuvant chemotherapy in locally advanced cervical cancer: real-world data from the Cancer Medicines Outcomes Programme (CMOP). European Journal of Gynaecological Oncology. 42(5). 926–926. 2 indexed citations
8.
Hamilton, Ruth & Kathryn Graham. (2018). Dark-adapted red flash ERGs in healthy adults. Documenta Ophthalmologica. 137(1). 1–8. 3 indexed citations
9.
Krishnan, Preethi, Sunita Ghosh, Kathryn Graham, et al.. (2016). Piwi-interacting RNAs and PIWI genes as novel prognostic markers for breast cancer. Oncotarget. 7(25). 37944–37956. 76 indexed citations
10.
Hamilton, Ruth & Kathryn Graham. (2016). Effect of shorter dark adaptation on ISCEV standard DA 0.01 and DA 3 skin ERGs in healthy adults. Documenta Ophthalmologica. 133(1). 11–19. 15 indexed citations
11.
Roberts, Joseph N., Kathryn Graham, Michael Weinfeld, et al.. (2015). Biobanking in the Twenty-First Century: Driving Population Metrics into Biobanking Quality. Advances in experimental medicine and biology. 864. 95–114. 9 indexed citations
12.
Matzke, Lise, John M.S. Bartlett, Sambasivarao Damaraju, et al.. (2014). A Practical Tool for Modeling Biospecimen User Fees. Biopreservation and Biobanking. 12(4). 234–239. 15 indexed citations
13.
Tang, Yanan, John R. Mackey, Raymond Lai, et al.. (2013). Quantitative proteomic analysis of HER2 normal and overexpressing MCF-7 breast cancer cells revealed proteomic changes accompanied with HER2 gene amplification. Journal of Proteomics. 91. 200–209. 7 indexed citations
14.
Graham, Kathryn, et al.. (2013). “Unresectable” Vulval Cancers: Is Neoadjuvant Chemotherapy the Way Forward?. Current Oncology Reports. 15(6). 573–580. 6 indexed citations
15.
Vos, Larissa J., Nasimeh Asgarian, Jean Deschênes, et al.. (2013). A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status. PLoS ONE. 8(12). e82144–e82144. 14 indexed citations
16.
Stretch, Cynthia, Nasimeh Asgarian, Roman Eisner, et al.. (2013). Effects of Sample Size on Differential Gene Expression, Rank Order and Prediction Accuracy of a Gene Signature. PLoS ONE. 8(6). e65380–e65380. 46 indexed citations
17.
Aktary, Zackie, Kimberly A. Chapman, Lawrence Lam, et al.. (2010). Plakoglobin interacts with and increases the protein levels of metastasis suppressor Nm23-H2 and regulates the expression of Nm23-H1. Oncogene. 29(14). 2118–2129. 49 indexed citations
18.
Sandlund, John T., C‐H Pui, H Mahmoud, et al.. (2010). Efficacy of high-dose methotrexate, ifosfamide, etoposide and dexamethasone salvage therapy for recurrent or refractory childhood malignant lymphoma. Annals of Oncology. 22(2). 468–471. 6 indexed citations
19.
Xu, Yaoxian, David Lesniak, Kathryn Graham, et al.. (2010). MGMT modulates glioblastoma angiogenesis and response to the tyrosine kinase inhibitor sunitinib. Neuro-Oncology. 12(8). 822–833. 77 indexed citations
20.

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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