Uwe M. Martens

12.3k total citations
103 papers, 4.2k citations indexed

About

Uwe M. Martens is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, Uwe M. Martens has authored 103 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 26 papers in Molecular Biology and 26 papers in Physiology. Recurrent topics in Uwe M. Martens's work include Telomeres, Telomerase, and Senescence (26 papers), Colorectal Cancer Treatments and Studies (21 papers) and Gastric Cancer Management and Outcomes (12 papers). Uwe M. Martens is often cited by papers focused on Telomeres, Telomerase, and Senescence (26 papers), Colorectal Cancer Treatments and Studies (21 papers) and Gastric Cancer Management and Outcomes (12 papers). Uwe M. Martens collaborates with scholars based in Germany, Spain and United States. Uwe M. Martens's co-authors include Peter M. Lansdorp, Steven S.S. Poon, Rabab Ward, Stefan Zimmermann, J. M. J. M. Zijlmans, Elizabeth A. Chavez, Cornelius F. Waller, Anton K. Raap, Hans J. Tanke and Jane Yui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Uwe M. Martens

99 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uwe M. Martens Germany 32 1.6k 1.6k 1.4k 567 499 103 4.2k
Ante S. Lundberg United States 17 3.0k 1.8× 1.1k 0.7× 1.7k 1.3× 444 0.8× 329 0.7× 39 4.7k
P. Sivaramakrishna Rachakonda Germany 25 1.9k 1.2× 1.0k 0.6× 931 0.7× 291 0.5× 304 0.6× 45 3.4k
Hesed Padilla‐Nash United States 28 2.1k 1.3× 479 0.3× 737 0.5× 158 0.3× 302 0.6× 56 3.9k
John D. Crispino United States 52 5.0k 3.1× 664 0.4× 698 0.5× 985 1.7× 481 1.0× 168 8.1k
Najet Debili France 54 2.6k 1.6× 473 0.3× 739 0.5× 1.2k 2.2× 1.2k 2.5× 147 8.3k
Deborah J. Marsh Australia 43 4.2k 2.6× 312 0.2× 1.8k 1.3× 542 1.0× 456 0.9× 130 7.4k
Edward F. Fritsch United States 18 2.1k 1.3× 374 0.2× 948 0.7× 1.1k 1.9× 194 0.4× 25 4.1k
Jean Benhattar Switzerland 43 2.3k 1.4× 680 0.4× 2.2k 1.6× 256 0.5× 1.4k 2.8× 114 5.5k
Elizabeth Hyjek United States 29 1.1k 0.6× 282 0.2× 1.8k 1.3× 799 1.4× 356 0.7× 68 3.6k
Carlos A. Torres‐Cabala United States 34 2.4k 1.5× 480 0.3× 2.0k 1.5× 597 1.1× 1.5k 3.0× 214 5.0k

Countries citing papers authored by Uwe M. Martens

Since Specialization
Citations

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

Fields of papers citing papers by Uwe M. Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uwe M. Martens. 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 Uwe M. Martens. The network helps show where Uwe M. Martens may publish in the future.

Co-authorship network of co-authors of Uwe M. Martens

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe M. Martens. A scholar is included among the top collaborators of Uwe M. Martens 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 Uwe M. Martens. Uwe M. Martens 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
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Martens, Uwe M., et al.. (2023). Assessing Quality of Life Using FHIR – How to Combine Patient Reported Outcome with Patient Generated Data for Better Compliance. Studies in health technology and informatics. 302. 135–136. 1 indexed citations
4.
Ferris, Robert L., William C. Spanos, Rom S. Leidner, et al.. (2021). Neoadjuvant nivolumab for patients with resectable HPV-positive and HPV-negative squamous cell carcinomas of the head and neck in the CheckMate 358 trial. Journal for ImmunoTherapy of Cancer. 9(6). e002568–e002568. 126 indexed citations
7.
Pobiruchin, Monika, Sylvia Bochum, Uwe M. Martens, & W Schramm. (2016). Clinical Cancer Registries - Are They Up for Health Services Research?. PubMed. 228. 242–6. 1 indexed citations
8.
Pobiruchin, Monika, Sylvia Bochum, Uwe M. Martens, Meinhard Kieser, & W Schramm. (2016). Transition probabilities of HER2-positive and HER2-negative breast cancer patients treated with Trastuzumab obtained from a clinical cancer registry dataset. Data in Brief. 7. 654–657. 2 indexed citations
9.
Pobiruchin, Monika, et al.. (2015). Prediction of 5-Year Survival with Data Mining Algorithms. Studies in health technology and informatics. 213. 75–8. 8 indexed citations
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Biniossek, Martin L., André Lechel, K. Lenhard Rudolph, Uwe M. Martens, & Stefan Zimmermann. (2013). Quantitative proteomic profiling of tumor cell response to telomere dysfunction using isotope-coded protein labeling (ICPL) reveals interaction network of candidate senescence markers. Journal of Proteomics. 91. 515–535. 16 indexed citations
12.
Halama, Niels, Sara Michel, Matthias Kloor, et al.. (2011). Localization and Density of Immune Cells in the Invasive Margin of Human Colorectal Cancer Liver Metastases Are Prognostic for Response to Chemotherapy. Cancer Research. 71(17). 5670–5677. 321 indexed citations
13.
Martens, Uwe M., et al.. (2007). Telomerase Inhibition and Telomere Targeting in Hematopoietic Cancer Cell Lines with Small Non-Nucleosidic Synthetic Compounds (BIBR1532). Methods in molecular biology. 405. 47–60. 15 indexed citations
14.
Lansdorp, Peter M., Steven S.S. Poon, Elizabeth A. Chavez, et al.. (2007). Telomeres in the Haemopoietic System. Novartis Foundation symposium. 211. 209–226. 4 indexed citations
15.
Müller, Antonia, Uwe M. Martens, Silke Hofmann, et al.. (2005). Imatinib mesylate as a novel treatment option for hypereosinophilic syndrome: two case reports and a comprehensive review of the literature. Annals of Hematology. 85(1). 1–16. 34 indexed citations
16.
Zimmermann, Stefan & Uwe M. Martens. (2005). Telomere Dynamics in Hematopoietic Stem Cells. Current Molecular Medicine. 5(2). 179–185. 17 indexed citations
17.
Ketteler, Robin, Sven Gläser, Olivier Sandra, Uwe M. Martens, & Ursula Klingmüller. (2002). Enhanced transgene expression in primitive hematopoietic progenitor cells and embryonic stem cells efficiently transduced by optimized retroviral hybrid vectors. Gene Therapy. 9(8). 477–487. 80 indexed citations
18.
Poon, Steven S.S., Uwe M. Martens, Rabab Ward, & Peter M. Lansdorp. (1999). Telomere length measurements using digital fluorescence microscopy. Cytometry. 36(4). 267–278. 203 indexed citations
19.
Zijlmans, J. M. J. M., Uwe M. Martens, Steven S.S. Poon, et al.. (1997). Telomeres in the mouse have large inter-chromosomal variations in the number of T 2 AG 3  repeats. Proceedings of the National Academy of Sciences. 94(14). 7423–7428. 423 indexed citations
20.
Brennscheidt, U., Dirk Eick, Regina Kunzmann, et al.. (1994). Burkitt-like mutations in the c-myc gene locus in prolymphocytic leukemia.. PubMed. 8(5). 897–902. 12 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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