Tim D.D. Somerville

3.4k total citations
17 papers, 943 citations indexed

About

Tim D.D. Somerville is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Tim D.D. Somerville has authored 17 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Hematology and 5 papers in Oncology. Recurrent topics in Tim D.D. Somerville's work include Acute Myeloid Leukemia Research (9 papers), Epigenetics and DNA Methylation (7 papers) and Protein Degradation and Inhibitors (7 papers). Tim D.D. Somerville is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Epigenetics and DNA Methylation (7 papers) and Protein Degradation and Inhibitors (7 papers). Tim D.D. Somerville collaborates with scholars based in United Kingdom, United States and Australia. Tim D.D. Somerville's co-authors include Christopher R. Vakoc, Joseph P. Milazzo, Xiaoli Wu, Olaf Klingbeil, Osama E. Demerdash, Junwei Shi, Yuhan Huang, Tim C. P. Somervaille, John E. Wilkinson and Gary J. Spencer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Tim D.D. Somerville

16 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim D.D. Somerville United Kingdom 13 592 435 168 164 113 17 943
Matouš Hrdinka Czechia 18 693 1.2× 231 0.5× 174 1.0× 89 0.5× 93 0.8× 34 1.0k
Evangelia Loizou United States 7 548 0.9× 243 0.6× 118 0.7× 46 0.3× 148 1.3× 8 775
Matthew D. Smith United States 17 579 1.0× 292 0.7× 118 0.7× 87 0.5× 20 0.2× 25 845
Brian Freie United States 15 588 1.0× 140 0.3× 155 0.9× 51 0.3× 104 0.9× 23 782
Cecilia Grimaldi Italy 13 517 0.9× 119 0.3× 81 0.5× 75 0.5× 113 1.0× 17 723
Valeria Cambiaghi Italy 9 335 0.6× 168 0.4× 85 0.5× 76 0.5× 85 0.8× 10 520
Daniela Eggle Germany 14 465 0.8× 225 0.5× 211 1.3× 73 0.4× 24 0.2× 19 910
Hans‐Guido Wendel United States 17 851 1.4× 327 0.8× 340 2.0× 33 0.2× 150 1.3× 41 1.3k
George P. Souroullas United States 10 483 0.8× 150 0.3× 75 0.4× 36 0.2× 101 0.9× 22 781
Sophie Cotteret France 11 484 0.8× 181 0.4× 73 0.4× 46 0.3× 56 0.5× 42 643

Countries citing papers authored by Tim D.D. Somerville

Since Specialization
Citations

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

Fields of papers citing papers by Tim D.D. Somerville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim D.D. Somerville. 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 Tim D.D. Somerville. The network helps show where Tim D.D. Somerville may publish in the future.

Co-authorship network of co-authors of Tim D.D. Somerville

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

All Works

17 of 17 papers shown
1.
Klingbeil, Olaf, Bin Lü, Caizhi Wu, et al.. (2022). BRD8 maintains glioblastoma by epigenetic reprogramming of the p53 network. Nature. 613(7942). 195–202. 46 indexed citations
2.
Somerville, Tim D.D., Yali Xu, Xiaoli Wu, et al.. (2020). ZBED2 is an antagonist of interferon regulatory factor 1 and modifies cell identity in pancreatic cancer. Proceedings of the National Academy of Sciences. 117(21). 11471–11482. 38 indexed citations
3.
Somerville, Tim D.D., Giulia Biffi, Juliane Daßler‐Plenker, et al.. (2020). Squamous trans-differentiation of pancreatic cancer cells promotes stromal inflammation. eLife. 9. 58 indexed citations
4.
Tiriac, Hervé, Pascal Belleau, Dannielle D. Engle, et al.. (2019). Abstract C57: Organoid profiling identifies common responders to chemotherapy in pancreatic cancer. Cancer Research. 79(24_Supplement). C57–C57. 6 indexed citations
5.
Xu, Yali, Joseph P. Milazzo, Tim D.D. Somerville, et al.. (2018). A TFIID-SAGA Perturbation that Targets MYB and Suppresses Acute Myeloid Leukemia. Cancer Cell. 33(1). 13–28.e8. 57 indexed citations
6.
Lü, Bin, Olaf Klingbeil, Yusuke Tarumoto, et al.. (2018). A Transcription Factor Addiction in Leukemia Imposed by the MLL Promoter Sequence. Cancer Cell. 34(6). 970–981.e8. 40 indexed citations
7.
Tarumoto, Yusuke, Bin Lu, Tim D.D. Somerville, et al.. (2018). LKB1, Salt-Inducible Kinases, and MEF2C Are Linked Dependencies in Acute Myeloid Leukemia. Molecular Cell. 69(6). 1017–1027.e6. 93 indexed citations
8.
Somerville, Tim D.D., Yali Xu, Koji Miyabayashi, et al.. (2018). TP63-Mediated Enhancer Reprogramming Drives the Squamous Subtype of Pancreatic Ductal Adenocarcinoma. Cell Reports. 25(7). 1741–1755.e7. 129 indexed citations
9.
Somerville, Tim D.D., Fabrizio Simeoni, Emma L. Williams, et al.. (2018). Derepression of the Iroquois Homeodomain Transcription Factor Gene IRX3 Confers Differentiation Block in Acute Leukemia. Cell Reports. 22(3). 638–652. 18 indexed citations
10.
Huang, Yuhan, Olaf Klingbeil, Xue‐Yan He, et al.. (2018). POU2F3 is a master regulator of a tuft cell-like variant of small cell lung cancer. Genes & Development. 32(13-14). 915–928. 256 indexed citations
11.
Somerville, Tim D.D. & Tim C. P. Somervaille. (2016). Tissue-inappropriate derepression of FOXC1 is frequent and functional in human acute myeloid leukemia. Molecular & Cellular Oncology. 3(2). e1131355–e1131355. 2 indexed citations
12.
Somerville, Tim D.D., Daniel H. Wiseman, Gary J. Spencer, et al.. (2015). Frequent Derepression of the Mesenchymal Transcription Factor Gene FOXC1 in Acute Myeloid Leukemia. Cancer Cell. 28(3). 329–342. 52 indexed citations
13.
Somerville, Tim D.D., Xu Huang, James T. Lynch, Gary J. Spencer, & Tim C. P. Somervaille. (2014). FOXC1 Is Derepressed to Functional Effect in Human Acute Myeloid Leukemia. Blood. 124(21). 889–889.
14.
Jude, Julian, Gary J. Spencer, Xu Huang, et al.. (2014). A targeted knockdown screen of genes coding for phosphoinositide modulators identifies PIP4K2A as required for acute myeloid leukemia cell proliferation and survival. Oncogene. 34(10). 1253–1262. 67 indexed citations
15.
Lynch, James T., Tim D.D. Somerville, Gary J. Spencer, Xu Huang, & Tim C. P. Somervaille. (2013). TTC5 is required to prevent apoptosis of acute myeloid leukemia stem cells. Cell Death and Disease. 4(4). e573–e573. 10 indexed citations
16.
Huang, Xu, Gary J. Spencer, James T. Lynch, et al.. (2013). Enhancers of Polycomb EPC1 and EPC2 sustain the oncogenic potential of MLL leukemia stem cells. Leukemia. 28(5). 1081–1091. 33 indexed citations
17.
White, Daniel J., Richard D. Unwin, Eric M. Bindels, et al.. (2013). Phosphorylation of the Leukemic Oncoprotein EVI1 on Serine 196 Modulates DNA Binding, Transcriptional Repression and Transforming Ability. PLoS ONE. 8(6). e66510–e66510. 38 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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