Martin Scheffner

22.7k citations
139 papers · 17.9k indexed · 6 hit papers · h-index 55
  • Oncology top 0.1%
    • Cancer-related Molecular Pathways 51
    • Peptidase Inhibition and Analysis 19
    • Ubiquitin and proteasome pathways 73
    • Protein Degradation and Inhibitors 16
    • Epigenetics and DNA Methylation 14
  • Epidemiology top 0.2%
    • Cervical Cancer and HPV Research 18
  • Genetics top 0.2%
    • Virus-based gene therapy research 18
    • Genetics and Neurodevelopmental Disorders 11

Martin Scheffner

138 papers receiving 17.6k citations

Hit Papers

Hakai, a c-Cbl-like protein, ubiquitinates and induces en...693199020262002201410002.0k3.0k

Peers

Martin Scheffner
Comparison fields: 5 of 129
  • Oncology 7.7k
  • Molecular Biology 12.1k
  • Epidemiology 5.0k
  • Cancer Research 1.9k
  • Genetics 3.4k
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Martin Scheffner relative to Jon M. Huibregtse United States Jon M. Huibregtse's profile →
Citations per field
00.5×1.5×
Jon M. Huibregtse · 1×
Citations per year

Countries citing papers authored by Martin Scheffner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Scheffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Martin Scheffner, 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 Martin Scheffner Line = papers co-authored together Martin Scheffner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20235
3 20236
4 202131
5 201922
6 201930
7 2013222
8 201217
9 201162
10 200852
11 200829
12 200754
13 2007135
14 2005222
15 2003152
16 2002130
17 19993
18 199827
19 1993179
20 1989276

About Martin Scheffner

Martin Scheffner is a scholar working on Oncology, Molecular Biology and Genetics, having authored 139 papers that have together received 17.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (73 papers), Cancer-related Molecular Pathways (51 papers), Peptidase Inhibition and Analysis (19 papers), Virus-based gene therapy research (18 papers), Cervical Cancer and HPV Research (18 papers), Protein Degradation and Inhibitors (16 papers), Epigenetics and DNA Methylation (14 papers) and Genetics and Neurodevelopmental Disorders (11 papers). The work is most often cited by research in Oncology (7.7k citations), Molecular Biology (12.1k citations) and Epidemiology (5.0k citations). Martin Scheffner has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Peter M. Howley, Jon M. Huibregtse, Arnold J. Levine, Bruce A. Werness, Richard D. Vierstra, Ulrike A. Nuber, Karl Münger, Arnd Hengstermann, Sylvia E. Schwarz and J C Byrne. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, ChemBioChem and Nature Communications.

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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