David Sumpton

4.3k total citations
45 papers, 2.0k citations indexed

About

David Sumpton is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, David Sumpton has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 15 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in David Sumpton's work include Cancer, Hypoxia, and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Ubiquitin and proteasome pathways (6 papers). David Sumpton is often cited by papers focused on Cancer, Hypoxia, and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Ubiquitin and proteasome pathways (6 papers). David Sumpton collaborates with scholars based in United Kingdom, United States and Italy. David Sumpton's co-authors include Gillian Mackay, Willy V. Bienvenut, Nicholas A. Morrice, Karen Blyth, Colin Nixon, Johan Vande Voorde, Saverio Tardito, Sérgio Lilla, Gabriela Kalna and Eyal Gottlieb and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

David Sumpton

44 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Sumpton United Kingdom 22 1.3k 402 374 235 180 45 2.0k
Hong Gao China 22 1.1k 0.9× 580 1.4× 245 0.7× 248 1.1× 138 0.8× 49 1.8k
Alan Yueh‐Luen Lee Taiwan 25 1.6k 1.3× 438 1.1× 531 1.4× 287 1.2× 113 0.6× 52 2.3k
Arvind Panday United States 12 1.4k 1.1× 217 0.5× 369 1.0× 312 1.3× 121 0.7× 14 2.0k
Isabel Sánchez‐Pérez Spain 26 1.6k 1.3× 473 1.2× 573 1.5× 234 1.0× 150 0.8× 52 2.3k
Lijun Yang China 32 1.8k 1.4× 591 1.5× 277 0.7× 392 1.7× 105 0.6× 99 2.6k
Xu Feng United States 22 1.6k 1.2× 401 1.0× 422 1.1× 223 0.9× 86 0.5× 65 2.2k
Morgane Le Bras France 23 1.7k 1.3× 261 0.6× 302 0.8× 271 1.2× 106 0.6× 43 2.3k
Yiqing Yang China 23 1.6k 1.3× 549 1.4× 530 1.4× 308 1.3× 240 1.3× 60 2.8k
Talya L. Dayton United States 17 1.1k 0.9× 622 1.5× 460 1.2× 139 0.6× 94 0.5× 28 1.9k
Kyu Heo South Korea 30 1.4k 1.1× 366 0.9× 380 1.0× 165 0.7× 122 0.7× 58 2.0k

Countries citing papers authored by David Sumpton

Since Specialization
Citations

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

Fields of papers citing papers by David Sumpton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sumpton

This figure shows the co-authorship network connecting the top 25 collaborators of David Sumpton. A scholar is included among the top collaborators of David Sumpton 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 David Sumpton. David Sumpton 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.
Tait-Mulder, Jacqueline, Minsoo Kim, Cerise Tang, et al.. (2025). Functionally dominant hotspot mutations of mitochondrial ribosomal RNA genes in cancer. Nature Genetics. 57(11). 2705–2714.
2.
Shokry, Engy, Karen Dunn, Mhairi Copland, et al.. (2024). Inhibition of mitochondrial folate metabolism drives differentiation through mTORC1 mediated purine sensing. Nature Communications. 15(1). 1931–1931. 11 indexed citations
3.
Thomason, Peter A., et al.. (2024). Biogenesis of lysosome-related organelles complex-2 is an evolutionarily ancient proto-coatomer complex. Current Biology. 34(15). 3564–3581.e6. 4 indexed citations
4.
Ackermann, Tobias, Engy Shokry, Laura C.A. Galbraith, et al.. (2024). Breast cancer secretes anti-ferroptotic MUFAs and depends on selenoprotein synthesis for metastasis. EMBO Molecular Medicine. 16(11). 2749–2774. 7 indexed citations
5.
Jans, Maude, Gillian Blancke, Mozes Sze, et al.. (2024). Colibactin-driven colon cancer requires adhesin-mediated epithelial binding. Nature. 635(8038). 472–480. 24 indexed citations
6.
Kalkman, Eric R., Joe M. Jones, Daniel James, et al.. (2024). Nutrient-sensitizing drug repurposing screen identifies lomerizine as a mitochondrial metabolism inhibitor of chronic myeloid leukemia. Science Translational Medicine. 16(751). eadi5336–eadi5336. 3 indexed citations
7.
Ricci, Luisa, et al.. (2023). Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis. Cell Death and Disease. 14(7). 403–403. 20 indexed citations
8.
Kalkman, Eric R., Mary T. Scott, Karen Dunn, et al.. (2023). Pyruvate anaplerosis is a targetable vulnerability in persistent leukaemic stem cells. Nature Communications. 14(1). 4634–4634. 13 indexed citations
9.
Kalkman, Eric R., Mary T. Scott, Karen Dunn, et al.. (2023). Arginine dependency is a therapeutically exploitable vulnerability in chronic myeloid leukaemic stem cells. EMBO Reports. 24(10). e56279–e56279. 5 indexed citations
10.
Patel, Rachana, Catriona A. Ford, Lisa Rodgers, et al.. (2022). Cyclocreatine Suppresses Creatine Metabolism and Impairs Prostate Cancer Progression. Cancer Research. 82(14). 2565–2575. 20 indexed citations
11.
Ahmed, Syed Feroj, Lori Buetow, Mads Gabrielsen, et al.. (2021). E3 ligase-inactivation rewires CBL interactome to elicit oncogenesis by hijacking RTK–CBL–CIN85 axis. Oncogene. 40(12). 2149–2164. 8 indexed citations
12.
Torretta, Simone, Alessandra Scagliola, Luisa Ricci, et al.. (2020). D-mannose suppresses macrophage IL-1β production. Nature Communications. 11(1). 6343–6343. 163 indexed citations
13.
Chatrin, Chatrin, Mads Gabrielsen, Lori Buetow, et al.. (2020). Structural insights into ADP-ribosylation of ubiquitin by Deltex family E3 ubiquitin ligases. Science Advances. 6(38). 67 indexed citations
14.
Blanco, Giovanny Rodriguez, David Sumpton, Catherine Cloix, et al.. (2020). Venetoclax causes metabolic reprogramming independent of BCL-2 inhibition. Cell Death and Disease. 11(8). 616–616. 69 indexed citations
15.
Dhayade, Sandeep, Matthias Pietzke, Jacqueline Tait-Mulder, et al.. (2020). Impact of Formate Supplementation on Body Weight and Plasma Amino Acids. Nutrients. 12(8). 2181–2181. 4 indexed citations
16.
Tait-Mulder, Jacqueline, Kelly Hodge, David Sumpton, Sara Zanivan, & Alexei Vázquez. (2020). The conversion of formate into purines stimulates mTORC1 leading to CAD-dependent activation of pyrimidine synthesis. SHILAP Revista de lepidopterología. 8(1). 20–20. 9 indexed citations
17.
Voorde, Johan Vande, Tobias Ackermann, David Sumpton, et al.. (2019). Improving the metabolic fidelity of cancer models with a physiological cell culture medium. Science Advances. 5(1). eaau7314–eaau7314. 235 indexed citations
18.
Rath, Nicola, June Munro, Marie F.A. Cutiongco, et al.. (2018). Rho Kinase Inhibition by AT13148 Blocks Pancreatic Ductal Adenocarcinoma Invasion and Tumor Growth. Cancer Research. 78(12). 3321–3336. 57 indexed citations
19.
Meiser, Johannes, Anne Schuster, Matthias Pietzke, et al.. (2018). Increased formate overflow is a hallmark of oxidative cancer. Nature Communications. 9(1). 1368–1368. 83 indexed citations
20.
Dornier, Emmanuel, Nicolas Rabas, Louise Mitchell, et al.. (2017). Glutaminolysis drives membrane trafficking to promote invasiveness of breast cancer cells. Nature Communications. 8(1). 2255–2255. 84 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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