Marc Tänzer

581 citations
7 papers · 340 · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Protease and Inhibitor Mechanisms
    • Colorectal Cancer Screening and Detection

Papers in

    • Epigenetics and DNA Methylation 2
    • Pancreatic and Hepatic Oncology Research 1
    • Peptidase Inhibition and Analysis 1

Marc Tänzer

7 papers receiving 335 citations

Peers

Marc Tänzer
Comparison fields: 5 of 43
  • Cancer Research 116
  • Oncology 116
  • Pathology and Forensic Medicine 65
  • Molecular Biology 168
  • Rheumatology 25
Replace Jiaping Peng with:
Jiaping Peng China
Sarita Prabhakaran Australia
Kate Lynn J. Bill United States
Ranbir Chaggar United Kingdom
José Montáns Spain
Hou-zhong Ding China
Karen Cravero United States
María Jesús García Villanueva Spain
Wenxian You China
Dehai Wu China
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Citations per field
00.5×1.5×2.0×
Jiaping Peng · 1×
Citations per year

Countries citing papers authored by Marc Tänzer

Since Specialization
Citations

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

Fields of papers citing papers by Marc Tänzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Tänzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Tänzer Line = papers co-authored together Marc Tänzer links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010164
2 200853
3 200850
4 200925
5 201324
6 200914
7 201210

About Marc Tänzer

Marc Tänzer is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Bone and Dental Protein Studies (1 paper), Peptidase Inhibition and Analysis (1 paper), Cancer, Lipids, and Metabolism (1 paper), Caveolin-1 and cellular processes (1 paper) and Helicobacter pylori-related gastroenterology studies (1 paper). The work is most often cited by research in Cancer Research (116 citations), Oncology (116 citations), Pathology and Forensic Medicine (65 citations), Molecular Biology (168 citations) and Rheumatology (25 citations). Marc Tänzer has collaborated with scholars based in Germany, Hungary and China. Frequent co-authors include Christoph Röcken, Matthias P. Ebert, Roland M. Schmid, Benjamin Balluff, Béla Molnár, Catherine Lofton–Day, Andreas Leodolter, Tibor Schuster, Jürgen Distler and Kari Hale. Their work appears in journals such as PLoS ONE, Neoplasia, Pharmacology & Therapeutics, Nature Reviews Gastroenterology & Hepatology and Molecular Cancer Research.

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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