Martin Böttcher

3.5k total citations · 1 hit paper
46 papers, 1.7k citations indexed

About

Martin Böttcher is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Martin Böttcher has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 21 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Martin Böttcher's work include Immune Cell Function and Interaction (14 papers), Immune cells in cancer (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Martin Böttcher is often cited by papers focused on Immune Cell Function and Interaction (14 papers), Immune cells in cancer (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Martin Böttcher collaborates with scholars based in Germany, United States and Switzerland. Martin Böttcher's co-authors include Dimitrios Mougiakakos, Andréas Mackensen, Regina Jitschin, Heiko Bruns, Georg Schett, Gerhard Krönke, Brenda Krishnacoumar, Jörg Hofmann, Sébastien Lucas and Olivia Albrecht and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Martin Böttcher

42 papers receiving 1.7k citations

Hit Papers

Short-chain fatty acids regulate systemic bone mass and p... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers

Martin Böttcher
Guozhi Xiao United States
Wenxin Song United States
KyuBum Kwack South Korea
William L. Ries United States
Martin Böttcher
Citations per year, relative to Martin Böttcher Martin Böttcher (= 1×) peers Stefan Uderhardt

Countries citing papers authored by Martin Böttcher

Since Specialization
Citations

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

Fields of papers citing papers by Martin Böttcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Böttcher

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Böttcher. A scholar is included among the top collaborators of Martin Böttcher 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 Martin Böttcher. Martin Böttcher 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.
Keitel, Verena, Michael C. Kreißl, Tobias Goetze, et al.. (2025). CAR T-cell therapy induces remission in multiorgan IgG4-related disease with hepatobiliary involvement. Journal of Hepatology. 84(4). 829–836.
2.
Loschinski, Romy, et al.. (2025). Metabolic T-cell phenotypes: from bioenergetics to function. American Journal of Physiology-Cell Physiology. 328(3). C1062–C1075. 3 indexed citations
3.
Gualdi, Silvio, Patrizia Chiusolo, Gennaro Napolitano, et al.. (2025). A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia. Cell Communication and Signaling. 23(1). 179–179.
4.
Böttcher, Martin, Andrej Stoll, Simon Völkl, et al.. (2024). Increased PD-1 Expression on Circulating T Cells Correlates with Inferior Outcome after Autologous Stem Cell Transplantation. Transplantation and Cellular Therapy. 30(6). 628.e1–628.e9. 1 indexed citations
5.
Franz, Tobias, Martin Böttcher, Nicolas Chatain, et al.. (2024). Activating mutations in JAK2 and CALR differentially affect intracellular calcium flux in store operated calcium entry. Cell Communication and Signaling. 22(1). 186–186. 4 indexed citations
6.
Liang, Chunguang, Romy Loschinski, Andrej Stoll, et al.. (2023). Oxidative DNA damage in reconstituting T cells is associated with relapse and inferior survival after allo-SCT. Blood. 141(13). 1626–1639. 8 indexed citations
7.
Iannuccelli, Marta, Patrizia Chiusolo, Gerardo Pepe, et al.. (2023). Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction. eLife. 12. 5 indexed citations
8.
Saul, Domenica, Manuela Krumbholz, Romy Loschinski, et al.. (2023). Synergistic lethality in chronic myeloid leukemia – targeting oxidative phosphorylation and unfolded protein response effectively complements tyrosine kinase inhibitor treatment. BMC Cancer. 23(1). 1153–1153. 2 indexed citations
9.
Karl, Franziska, Romy Loschinski, Andrej Stoll, et al.. (2023). Accumulation of T-cell-suppressive PD-L1high extracellular vesicles is associated with GvHD and might impact GvL efficacy. Journal for ImmunoTherapy of Cancer. 11(3). e006362–e006362. 10 indexed citations
10.
Karow, Axel, Kristin Mentz, Martin Böttcher, et al.. (2023). Effects of the STAMP-inhibitor asciminib on T cell activation and metabolic fitness compared to tyrosine kinase inhibition by imatinib, dasatinib, and nilotinib. Cancer Immunology Immunotherapy. 72(6). 1661–1672. 2 indexed citations
11.
Franz, Tobias, Martin Böttcher, Marisa Mitchell-Flack, et al.. (2022). Pleiotropic effects of antibiotics on T cell metabolism and T cell-mediated immunity. Frontiers in Microbiology. 13. 975436–975436. 11 indexed citations
12.
Böttcher, Martin, Simon Völkl, Andréas Mackensen, et al.. (2022). The metabolic profile of reconstituting T-cells, NK-cells, and monocytes following autologous stem cell transplantation and its impact on outcome. Scientific Reports. 12(1). 11406–11406. 5 indexed citations
13.
Böttcher, Martin, Andrej Stoll, Romy Loschinski, et al.. (2020). Palmitoylated Proteins on AML-Derived Extracellular Vesicles Promote Myeloid-Derived Suppressor Cell Differentiation via TLR2/Akt/mTOR Signaling. Cancer Research. 80(17). 3663–3676. 49 indexed citations
14.
Böttcher, Martin, et al.. (2020). Linking Immunoevasion and Metabolic Reprogramming in B-Cell–Derived Lymphomas. Frontiers in Oncology. 10. 594782–594782. 22 indexed citations
15.
Stoll, Cornelia, Katrin Palumbo‐Zerr, Christina Böhm, et al.. (2020). PPARδ-mediated mitochondrial rewiring of osteoblasts determines bone mass. Scientific Reports. 10(1). 8428–8428. 19 indexed citations
16.
Schaffer, Stefanie, Simon Völkl, Katrin Peter, et al.. (2019). Selective PRMT5 Inhibitors Suppress Human CD8+ T Cells by Upregulation of p53 and Impairment of the AKT Pathway Similar to the Tumor Metabolite MTA. Molecular Cancer Therapeutics. 19(2). 409–419. 25 indexed citations
17.
Lu, Junyan, Martin Böttcher, Tatjana Walther, et al.. (2019). Energy metabolism is co-determined by genetic variants in chronic lymphocytic leukemia and influences drug sensitivity. Haematologica. 104(9). 1830–1840. 21 indexed citations
18.
Jitschin, Regina, Martin Böttcher, Domenica Saul, et al.. (2019). Inflammation-induced glycolytic switch controls suppressivity of mesenchymal stem cells via STAT1 glycosylation. Leukemia. 33(7). 1783–1796. 63 indexed citations
19.
Lucas, Sébastien, Yasunori Omata, Jörg Hofmann, et al.. (2017). Short-chain fatty acids regulate systemic bone mass and protect from pathological bone loss. Nature Communications. 9(1). 55–55. 527 indexed citations breakdown →
20.
Boy, Jana, Thorsten Schmidt, Hartwig Wolburg, et al.. (2009). Reversibility of symptoms in a conditional mouse model of spinocerebellar ataxia type 3. Human Molecular Genetics. 18(22). 4282–4295. 83 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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