Hector C. Keun

14.3k total citations · 1 hit paper
152 papers, 8.6k citations indexed

About

Hector C. Keun is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Hector C. Keun has authored 152 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 40 papers in Cancer Research and 17 papers in Spectroscopy. Recurrent topics in Hector C. Keun's work include Metabolomics and Mass Spectrometry Studies (85 papers), Cancer, Hypoxia, and Metabolism (30 papers) and Cancer, Lipids, and Metabolism (15 papers). Hector C. Keun is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (85 papers), Cancer, Hypoxia, and Metabolism (30 papers) and Cancer, Lipids, and Metabolism (15 papers). Hector C. Keun collaborates with scholars based in United Kingdom, United States and Germany. Hector C. Keun's co-authors include Jeremy K. Nicholson, Timothy M. D. Ebbels, Elaine Holmes, John C. Lindon, Olaf Beckonert, Jacob G. Bundy, Toby J. Athersuch, Mary E. Bollard, Rachel Cavill and Henrik Antti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Hector C. Keun

151 papers receiving 8.4k citations

Hit Papers

Metabolic profiling, metabolomic and metabonomic procedur... 2007 2026 2013 2019 2007 500 1000 1.5k

Peers

Hector C. Keun
Timothy M. D. Ebbels United Kingdom
Stephen Barnes United States
Gary J. Patti United States
Haiwei Gu United States
Jeffrey R. Idle United Kingdom
Caroline H. Johnson United States
G. A. Nagana Gowda United States
David Broadhurst United Kingdom
Teresa W.‐M. Fan United States
Timothy M. D. Ebbels United Kingdom
Hector C. Keun
Citations per year, relative to Hector C. Keun Hector C. Keun (= 1×) peers Timothy M. D. Ebbels

Countries citing papers authored by Hector C. Keun

Since Specialization
Citations

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

Fields of papers citing papers by Hector C. Keun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hector C. Keun. 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 Hector C. Keun. The network helps show where Hector C. Keun may publish in the future.

Co-authorship network of co-authors of Hector C. Keun

This figure shows the co-authorship network connecting the top 25 collaborators of Hector C. Keun. A scholar is included among the top collaborators of Hector C. Keun 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 Hector C. Keun. Hector C. Keun 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.
Charidemou, Evelina, Roberta Noberini, Polymnia Georgiou, et al.. (2024). Hyperacetylated histone H4 is a source of carbon contributing to lipid synthesis. The EMBO Journal. 43(7). 1187–1213. 8 indexed citations
2.
Bray, C. M., Cristina Balcells, Iain A. McNeish, & Hector C. Keun. (2023). The potential and challenges of targeting MTAP-negative cancers beyond synthetic lethality. Frontiers in Oncology. 13. 1264785–1264785. 19 indexed citations
3.
Bird, Sarah, Fernando J. Sialana, Habib Bouguenina, et al.. (2023). P-179 Altered lipid metabolism in IMiD/CELMoD resistant multiple myeloma confers novel and targetable vulnerabilities. Clinical Lymphoma Myeloma & Leukemia. 23. S134–S134. 1 indexed citations
4.
Robinson, Oliver, Chung‐Ho E. Lau, Sandra Andrušaitytė, et al.. (2023). Associations of four biological age markers with child development: A multi-omic analysis in the European HELIX cohort. eLife. 12. 5 indexed citations
5.
García-Domínguez, Daniel J., Nabil Hajji, Roser López‐Alemany, et al.. (2022). Selective histone methyltransferase G9a inhibition reduces metastatic development of Ewing sarcoma through the epigenetic regulation of NEU1. Oncogene. 41(18). 2638–2650. 17 indexed citations
7.
Hilmenyuk, Tamara, Carla A. Jaeger-Ruckstuhl, Christian Berchtold, et al.. (2017). T cell inhibitory mechanisms in a model of aggressive Non-Hodgkin's Lymphoma. OncoImmunology. 7(1). e1365997–e1365997. 2 indexed citations
8.
Yogev, Orli, Karen Barker, Gilberto S. Almeida, et al.. (2016). p53 Loss in MYC-Driven Neuroblastoma Leads to Metabolic Adaptations Supporting Radioresistance. Cancer Research. 76(10). 3025–3035. 32 indexed citations
10.
Koufaris, Costas, Gabriel N. Valbuena, Yotsawat Pomyen, et al.. (2015). Systematic integration of molecular profiles identifies miR-22 as a regulator of lipid and folate metabolism in breast cancer cells. Oncogene. 35(21). 2766–2776. 54 indexed citations
11.
Trousil, Sebastian, David J. Pinato, James K. Ellis, et al.. (2014). Alterations of Choline Phospholipid Metabolism in Endometrial Cancer Are Caused by Choline Kinase Alpha Overexpression and a Hyperactivated Deacylation Pathway. Cancer Research. 74(23). 6867–6877. 86 indexed citations
12.
Maître, Léa, Eleni Fthenou, Toby J. Athersuch, et al.. (2014). Urinary metabolic profiles in early pregnancy are associated with preterm birth and fetal growth restriction in the Rhea mother–child cohort study. BMC Medicine. 12(1). 110–110. 77 indexed citations
13.
Shariff, Mohamed, Matthew R. Lewis, Hector C. Keun, et al.. (2012). PWE-264 Blood lipidomic profiling of hepatocellular carcinoma in human and animal studies identifies lysophosphatidylcholine (24, 0, 0), a discriminatory biomarker. Gut. 61(Suppl 2). A405.2–A405. 1 indexed citations
14.
Sharma, Rohini, et al.. (2011). Pharmacometabonomic Profiling as a Predictor of Toxicity in Patients with Inoperable Colorectal Cancer Treated with Capecitabine. Clinical Cancer Research. 17(9). 3019–3028. 88 indexed citations
15.
Cavill, Rachel, Atanas Kamburov, James K. Ellis, et al.. (2011). Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells. PLoS Computational Biology. 7(3). e1001113–e1001113. 72 indexed citations
16.
Yakoub, Danny, Hector C. Keun, Robert Goldin, & George B. Hanna. (2010). Metabolic Profiling Detects Field Effects in Nondysplastic Tissue from Esophageal Cancer Patients. Cancer Research. 70(22). 9129–9136. 41 indexed citations
17.
Teichert, Friederike, Richard D. Verschoyle, Peter Greaves, et al.. (2010). Plasma metabolic profiling reveals age-dependency of systemic effects of green tea polyphenols in mice with and without prostate cancer. Molecular BioSystems. 6(10). 1911–1916. 3 indexed citations
18.
Ellis, James K., Toby J. Athersuch, Rachel Cavill, et al.. (2010). Metabolic response to low-level toxicant exposure in a novel renal tubuleepithelial cell system. Molecular BioSystems. 7(1). 247–257. 44 indexed citations
19.
Keun, Hector C. & Toby J. Athersuch. (2010). Nuclear Magnetic Resonance (NMR)-Based Metabolomics. Methods in molecular biology. 708. 321–334. 34 indexed citations
20.
Keun, Hector C., Jasmin Sidhu, Dmitri Pchejetski, et al.. (2009). Serum Molecular Signatures of Weight Change during Early Breast Cancer Chemotherapy. Clinical Cancer Research. 15(21). 6716–6723. 55 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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