Thomas Sommermann

1.0k total citations
18 papers, 679 citations indexed

About

Thomas Sommermann is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Thomas Sommermann has authored 18 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Immunology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Thomas Sommermann's work include Viral-associated cancers and disorders (8 papers), Immune Cell Function and Interaction (7 papers) and Lymphoma Diagnosis and Treatment (5 papers). Thomas Sommermann is often cited by papers focused on Viral-associated cancers and disorders (8 papers), Immune Cell Function and Interaction (7 papers) and Lymphoma Diagnosis and Treatment (5 papers). Thomas Sommermann collaborates with scholars based in Germany, United States and United Kingdom. Thomas Sommermann's co-authors include Klaus Rajewsky, Ellen Cahir-McFarland, Van Trung Chu, Timm Weber, Kathleen O’Neill, David R. Plas, Robin Graf, Ralf Kühn, Ulrike Sack and Kerstin Petsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Thomas Sommermann

18 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Sommermann Germany 12 360 262 175 123 111 18 679
Nadezhda Tikhmyanova United States 9 408 1.1× 330 1.3× 73 0.4× 88 0.7× 93 0.8× 10 711
Ran-Yi Liu China 18 487 1.4× 298 1.1× 130 0.7× 79 0.6× 130 1.2× 26 882
Severine Martin‐Lannerée France 13 325 0.9× 144 0.5× 187 1.1× 66 0.5× 89 0.8× 21 662
Vladimir Poltoratsky United States 15 570 1.6× 149 0.6× 204 1.2× 84 0.7× 62 0.6× 20 799
Anett Jandke United Kingdom 10 425 1.2× 271 1.0× 525 3.0× 62 0.5× 71 0.6× 13 1.0k
Konstantin Khetchoumian France 15 767 2.1× 120 0.5× 320 1.8× 86 0.7× 79 0.7× 17 1.1k
Shi-Juan Mai China 16 690 1.9× 242 0.9× 90 0.5× 83 0.7× 79 0.7× 19 981
Amy Goodale United States 9 664 1.8× 159 0.6× 80 0.5× 43 0.3× 52 0.5× 16 861
Zhengyuan Yu China 15 476 1.3× 198 0.8× 104 0.6× 42 0.3× 74 0.7× 35 718
Stephan Imreh Sweden 18 505 1.4× 130 0.5× 105 0.6× 63 0.5× 47 0.4× 25 743

Countries citing papers authored by Thomas Sommermann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sommermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Sommermann

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

All Works

18 of 18 papers shown
2.
Tran, Ngoc Tung, Robin Graf, Timm Weber, et al.. (2024). In vivo CRISPR/Cas9-mediated screen reveals a critical function of TFDP1 and E2F4 transcription factors in hematopoiesis. Leukemia. 38(9). 2003–2015. 3 indexed citations
3.
Li, Xun, Timm Weber, Elijah D. Lowenstein, et al.. (2024). Precise CRISPR-Cas9 gene repair in autologous memory T cells to treat familial hemophagocytic lymphohistiocytosis. Science Immunology. 9(92). eadi0042–eadi0042. 6 indexed citations
4.
Deng, Yun, Veit Grabe, Thomas Sommermann, et al.. (2024). Bacteria modulate microalgal aging physiology through the induction of extracellular vesicle production to remove harmful metabolites. Nature Microbiology. 9(9). 2356–2368. 11 indexed citations
5.
Sommermann, Thomas, Andreas Moosmann, Stephan M. Feller, et al.. (2024). Epstein-Barr virus-driven B cell lymphoma mediated by a direct LMP1-TRAF6 complex. Nature Communications. 15(1). 414–414. 15 indexed citations
6.
Sommermann, Thomas, Xun Li, Lutz Gieselmann, et al.. (2023). LMP1 and EBNA2 constitute a minimal set of EBV genes for transformation of human B cells. Frontiers in Immunology. 14. 1331730–1331730. 14 indexed citations
7.
Sommermann, Thomas, Tomoharu Yasuda, Jonathan Ronen, et al.. (2020). Functional interplay of Epstein-Barr virus oncoproteins in a mouse model of B cell lymphomagenesis. Proceedings of the National Academy of Sciences. 117(25). 14421–14432. 21 indexed citations
8.
Schmidt, Kristin, Ulrike Sack, Robin Graf, et al.. (2020). B-Cell-Specific Myd88 L252P Expression Causes a Premalignant Gammopathy Resembling IgM MGUS. Frontiers in Immunology. 11. 602868–602868. 7 indexed citations
9.
Tran, Ngoc Tung, Thomas Sommermann, Robin Graf, et al.. (2019). Efficient CRISPR/Cas9-Mediated Gene Knockin in Mouse Hematopoietic Stem and Progenitor Cells. Cell Reports. 28(13). 3510–3522.e5. 23 indexed citations
10.
Wang, Liang Wei, Hongying Shen, Luís Nobre, et al.. (2019). Epstein-Barr-Virus-Induced One-Carbon Metabolism Drives B Cell Transformation. Cell Metabolism. 30(3). 539–555.e11. 128 indexed citations
11.
Schön, Christian, Christoph Loddenkemper, Philipp Lohneis, et al.. (2018). Oncogene-specific T cells fail to eradicate lymphoma-initiating B cells in mice. Blood. 132(9). 924–934. 1 indexed citations
12.
Chu, Van Trung, Thomas Sommermann, Kevin Baßler, et al.. (2018). Nuclear FOXO1 promotes lymphomagenesis in germinal center B cells. Blood. 132(25). 2670–2683. 30 indexed citations
13.
Chu, Van Trung, Timm Weber, Robin Graf, et al.. (2016). Efficient generation of Rosa26 knock-in mice using CRISPR/Cas9 in C57BL/6 zygotes. BMC Biotechnology. 16(1). 4–4. 206 indexed citations
14.
Weber, Timm, et al.. (2016). Mouse model for acute Epstein–Barr virus infection. Proceedings of the National Academy of Sciences. 113(48). 13821–13826. 29 indexed citations
15.
Yasuda, Tomoharu, Baochun Zhang, Thomas Wunderlich, et al.. (2013). Studying Epstein-Barr Virus Pathologies and Immune Surveillance by Reconstructing EBV Infection in Mice. Cold Spring Harbor Symposia on Quantitative Biology. 78(0). 259–263. 23 indexed citations
16.
Sommermann, Thomas, Hildegard I. D. Mack, & Ellen Cahir-McFarland. (2012). Autophagy prolongs survival after NFκB inhibition in B-cell lymphomas. Autophagy. 8(2). 265–267. 13 indexed citations
17.
Sommermann, Thomas, Kathleen O’Neill, David R. Plas, & Ellen Cahir-McFarland. (2011). IKKβ and NF-κB Transcription Govern Lymphoma Cell Survival through AKT-Induced Plasma Membrane Trafficking of GLUT1. Cancer Research. 71(23). 7291–7300. 112 indexed citations
18.
Zhao, Bo, et al.. (2011). EBV nuclear antigen EBNALP dismisses transcription repressors NCoR and RBPJ from enhancers and EBNA2 increases NCoR-deficient RBPJ DNA binding. Proceedings of the National Academy of Sciences. 108(19). 7808–7813. 34 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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