Markus E. Diefenbacher

2.6k citations
42 papers · 1.9k indexed · h-index 23
  • Oncology top 5%
    • Cancer-related Molecular Pathways 10
    • Peptidase Inhibition and Analysis 5
    • Ubiquitin and proteasome pathways 16
    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 5
    • DNA Repair Mechanisms 4
    • Cancer-related gene regulation 4
  • Cell Biology top 10%
    • Genetics and Neurodevelopmental Disorders 4

Markus E. Diefenbacher

41 papers receiving 1.8k citations

Peers

Markus E. Diefenbacher
Comparison fields: 5 of 103
  • Oncology 567
  • Molecular Biology 1.4k
  • Cancer Research 296
  • Cell Biology 212
  • Immunology 186
Replace Douglas B. Stairs with:
Douglas B. Stairs United States
Larisa Litovchick United States
Atsushi Takano Japan
Simon R. Tomlinson United Kingdom
Sílvia Carvalho Israel
Bastiaan Evers Netherlands
Gediminas Greicius Singapore
Susanne N. Weber Germany
Kevin Myant United Kingdom
Chiharu Uchida Japan
Markus E. Diefenbacher relative to Douglas B. Stairs United States Douglas B. Stairs's profile →
Citations per field
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Douglas B. Stairs · 1×
Citations per year

Countries citing papers authored by Markus E. Diefenbacher

Since Specialization
Citations

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

Fields of papers citing papers by Markus E. Diefenbacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus E. Diefenbacher. 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 Markus E. Diefenbacher. The network helps show where Markus E. Diefenbacher may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 202321
4 20237
5 202216
6 20227
7 20222
8 202124
9 202129
10 202113
11 202043
12 20209
13 201960
14 201827
15 201560
16 201530
17 201413
18 201277
19 2012215
20 201135

About Markus E. Diefenbacher

Markus E. Diefenbacher is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (10 papers), RNA modifications and cancer (7 papers), Peptidase Inhibition and Analysis (5 papers), Epigenetics and DNA Methylation (5 papers), DNA Repair Mechanisms (4 papers), Cancer-related gene regulation (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Oncology (567 citations), Molecular Biology (1.4k citations) and Cancer Research (296 citations). Markus E. Diefenbacher has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Axel Behrens, Julian Downward, Gordon Stamp, Madhu Kumar, Emma Nye, Atanu Chakraborty, Martin Eilers, Olivier Kassel, Nikita Popov and Rocı́o Sancho. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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