Clemens A. Schmitt

16.2k total citations · 5 hit papers
110 papers, 7.0k citations indexed

About

Clemens A. Schmitt is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Clemens A. Schmitt has authored 110 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 49 papers in Oncology and 26 papers in Physiology. Recurrent topics in Clemens A. Schmitt's work include Telomeres, Telomerase, and Senescence (26 papers), Cancer-related Molecular Pathways (17 papers) and CAR-T cell therapy research (12 papers). Clemens A. Schmitt is often cited by papers focused on Telomeres, Telomerase, and Senescence (26 papers), Cancer-related Molecular Pathways (17 papers) and CAR-T cell therapy research (12 papers). Clemens A. Schmitt collaborates with scholars based in Germany, Austria and United States. Clemens A. Schmitt's co-authors include Scott W. Lowe, Soyoung Lee, Melanie Braig, Jordan S. Fridman, Robert M. Hoffman, Meng Yang, Eugene Baranov, Bernd Dörken, Marco Demaria and Boshi Wang and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Clemens A. Schmitt

104 papers receiving 6.9k citations

Hit Papers

Oncogene-induced senescence as an initial barrier in lymp... 2002 2026 2010 2018 2005 2002 2022 2018 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clemens A. Schmitt Germany 36 4.3k 2.4k 2.0k 1.2k 1.0k 110 7.0k
Manuel Collado Spain 34 5.8k 1.3× 2.4k 1.0× 3.2k 1.6× 1.5k 1.3× 1.4k 1.3× 78 9.2k
Thomas Kuilman Netherlands 16 3.8k 0.9× 1.9k 0.8× 2.7k 1.3× 1.4k 1.2× 1.2k 1.1× 25 6.7k
Asha S. Multani United States 40 5.0k 1.2× 3.3k 1.3× 1.4k 0.7× 803 0.7× 1.9k 1.8× 126 8.2k
Mila E. McCurrach United States 20 7.3k 1.7× 3.6k 1.5× 2.1k 1.0× 1.4k 1.2× 1.3k 1.2× 21 9.6k
Takehiko Kamijo Japan 37 5.1k 1.2× 3.2k 1.3× 805 0.4× 670 0.6× 1.0k 1.0× 114 7.1k
Rugang Zhang United States 51 5.8k 1.3× 2.0k 0.8× 1.4k 0.7× 1.3k 1.1× 1.3k 1.3× 145 8.4k
Sandy Chang United States 46 7.6k 1.8× 3.2k 1.3× 4.9k 2.4× 888 0.8× 1.4k 1.3× 88 11.3k
Cornelius Miething Germany 28 3.0k 0.7× 1.5k 0.6× 809 0.4× 1.2k 1.0× 740 0.7× 68 5.1k
Chrysiis Michaloglou United Kingdom 8 3.3k 0.8× 1.4k 0.6× 2.4k 1.2× 1.1k 1.0× 810 0.8× 12 5.5k
Sam W. Lee United States 48 5.0k 1.2× 2.3k 1.0× 671 0.3× 1.2k 1.0× 1.1k 1.0× 93 7.1k

Countries citing papers authored by Clemens A. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Clemens A. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clemens A. Schmitt. 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 Clemens A. Schmitt. The network helps show where Clemens A. Schmitt may publish in the future.

Co-authorship network of co-authors of Clemens A. Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Clemens A. Schmitt. A scholar is included among the top collaborators of Clemens A. Schmitt 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 Clemens A. Schmitt. Clemens A. Schmitt 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.
Liu, Cuilan, Bingjie Cui, Weiwei Chen, et al.. (2025). Chronic Stress Stimulates Protumor Macrophage Polarization to Propel Lung Cancer Progression. Cancer Research. 85(13). 2429–2447. 6 indexed citations
2.
Dong, Hongliang, Weiwei Chen, Qian Zhang, et al.. (2023). N6-methyladenine-mediated aberrant activation of the lncRNA SOX2OT-GLI1 loop promotes non-small-cell lung cancer stemness. Cell Death Discovery. 9(1). 149–149. 19 indexed citations
3.
Rues, Stefan, et al.. (2023). Effect of firing time and wall thickness on the biaxial flexural strength of 3D-printed zirconia. Dental Materials. 40(3). 484–492. 4 indexed citations
4.
Schmitt, Clemens A., Boshi Wang, & Marco Demaria. (2022). Senescence and cancer — role and therapeutic opportunities. Nature Reviews Clinical Oncology. 19(10). 619–636. 481 indexed citations breakdown →
5.
Kolesnichenko, Marina, Uta E. Höpken, Eva Kärgel, et al.. (2021). Transcriptional repression of NFKBIA triggers constitutive IKK‐ and proteasome‐independent p65/RelA activation in senescence. The EMBO Journal. 40(6). e104296–e104296. 51 indexed citations
6.
Gampenrieder, Simon Peter, Gabriel Rinnerthaler, Christoph Tinchon, et al.. (2021). Landscape of HER2-low metastatic breast cancer (MBC): results from the Austrian AGMT_MBC-Registry. Breast Cancer Research. 23(1). 112–112. 94 indexed citations
7.
Martínez‐Zamudio, Ricardo Iván, Pierre‐François Roux, Lucas Robinson, et al.. (2020). Author Correction: AP-1 imprints a reversible transcriptional programme of senescent cells. Nature Cell Biology. 22(10). 1286–1288. 1 indexed citations
8.
Martínez‐Zamudio, Ricardo Iván, Pierre‐François Roux, Lucas Robinson, et al.. (2020). AP-1 imprints a reversible transcriptional programme of senescent cells. Nature Cell Biology. 22(7). 842–855. 123 indexed citations
9.
Jaeger, Carsten, Hermann Brenner, Jenny Chang‐Claude, et al.. (2018). Non‐invasive metastasis prognosis from plasma metabolites in stage II colorectal cancer patients: The DACHS study. International Journal of Cancer. 145(1). 221–231. 9 indexed citations
10.
Schönlein, Martin, J. Henry M. Däbritz, Dorothy Ngo-Yin Fan, et al.. (2017). Therapy‐Induced Senescence Is a Predictor of Treatment Outcome in Acute Myeloid Leukemia. Blood. 130. 1393–1393. 2 indexed citations
11.
Däbritz, J. Henry M., Yong Yu, Maja Milanovic, et al.. (2016). CD20-Targeting Immunotherapy Promotes Cellular Senescence in B-Cell Lymphoma. Molecular Cancer Therapeutics. 15(5). 1074–1081. 26 indexed citations
12.
Du, Jing, Martin Neuenschwander, Yong Yu, et al.. (2016). Pharmacological restoration and therapeutic targeting of the B-cell phenotype in classical Hodgkin lymphoma. Blood. 129(1). 71–81. 9 indexed citations
13.
Böck, Barbara C., Ulrike Stein, Clemens A. Schmitt, & Hellmut G. Augustin. (2014). Mouse Models of Human Cancer. Cancer Research. 74(17). 4671–4675. 25 indexed citations
15.
Schmitt, Clemens A.. (2006). Cellular senescence and cancer treatment. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1775(1). 5–20. 209 indexed citations
16.
Braig, Melanie, Soyoung Lee, Christoph Loddenkemper, et al.. (2005). Oncogene-induced senescence as an initial barrier in lymphoma development. Nature. 436(7051). 660–665. 969 indexed citations breakdown →
17.
Kahlem, Pascal, Bernd Dörken, & Clemens A. Schmitt. (2004). Cellular senescence in cancer treatment: friend or foe?. Journal of Clinical Investigation. 113(2). 169–174. 95 indexed citations
18.
Schmitt, Clemens A., Jordan S. Fridman, Meng Yang, et al.. (2002). Dissecting p53 tumor suppressor functions in vivo. Cancer Cell. 1(3). 289–298. 392 indexed citations
19.
Schmitt, Clemens A. & Scott W. Lowe. (1999). Apoptosis and therapy. The Journal of Pathology. 187(1). 127–137. 4 indexed citations
20.
Wittig, Bianca M., et al.. (1996). ?(1,3)Fucosyltransferase expression in E-selectin-mediated binding of gastrointestinal tumor cells. International Journal of Cancer. 67(1). 80–85. 21 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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