Felix Oppermann

1.5k citations
17 papers · 1.1k · h-index 13

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

Felix Oppermann

16 papers receiving 1.1k citations

Peers

Felix Oppermann
Comparison fields: 5 of 76
  • Cell Biology 328
  • Spectroscopy 223
  • Molecular Biology 865
  • Oncology 170
  • Neurology 67
Replace Vyacheslav Akimov with:
Vyacheslav Akimov Denmark
Ginny I. Chen Canada
Norihiro Kotani Japan
Roland Hjerpe United Kingdom
Chad J. Miller United States
Takahisa Kuga Japan
Ira L. Goldknopf United States
Anna-Kathrine Pedersen Denmark
Nicole St‐Denis Canada
Karen L. Abbott United States
Felix Oppermann relative to Vyacheslav Akimov Denmark Vyacheslav Akimov's profile →
Citations per field
00.5×1.5×2.2×
Vyacheslav Akimov · 1×
Citations per year

Countries citing papers authored by Felix Oppermann

Since Specialization
Citations

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

Fields of papers citing papers by Felix Oppermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008497
2 2009247
3 201291
4 201774
5 201152
6 201028
7 201327
8 201424
9 201024
10 201722
11 202120
12 202313
13 201712
14 20243
15 20122
16 20252
17 20250

About Felix Oppermann

Felix Oppermann is a scholar working on Molecular Biology, Spectroscopy, Mechanical Engineering, Genetics and Hematology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Ubiquitin and proteasome pathways (3 papers), High Entropy Alloys Studies (3 papers), Microtubule and mitosis dynamics (2 papers), Genetic Neurodegenerative Diseases (2 papers), Metal Alloys Wear and Properties (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Cell Biology (328 citations), Spectroscopy (223 citations), Molecular Biology (865 citations), Oncology (170 citations) and Neurology (67 citations). Felix Oppermann has collaborated with scholars based in Germany, Hungary and Denmark. Frequent co-authors include Henrik Daub, Gÿorgý Kéri, Matthias Mann, Florian Gnad, Zoltán Greff, Jesper V. Olsen, Olaf Stemmann, Michaela Bairlein, Roman Körner and Kenneth Thirstrup. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Molecular Cell, Cell Reports and Calphad.

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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