Oliver Kops

920 citations
7 papers · 803 · h-index 7

Impact in

  • Immunology top 10%
    • Toxin Mechanisms and Immunotoxins
    • Signaling Pathways in Disease
    • Ubiquitin and proteasome pathways
    • Plant tissue culture and regeneration

Papers in

    • Signaling Pathways in Disease 5
    • Plant tissue culture and regeneration 1
    • Ubiquitin and proteasome pathways 1
    • Biochemical and Molecular Research 1
    • Peptidase Inhibition and Analysis 3

Oliver Kops

7 papers receiving 776 citations

Peers

Oliver Kops
Comparison fields: 5 of 57
  • Immunology 211
  • Molecular Biology 714
  • Oncology 252
  • Biotechnology 78
  • Cellular and Molecular Neuroscience 86
Replace Mateusz Wydro with:
Mateusz Wydro United Kingdom
Fahu He Japan
Cheng-Fu Kao Taiwan
Deepali Bhandari United States
Walter Spevak Austria
Hanbing An United States
Y Takai Japan
Zoi Erpapazoglou France
Byung-Kwon Choi United States
Rajindra P. Aryal United States
Oliver Kops relative to Mateusz Wydro United Kingdom Mateusz Wydro's profile →
Citations per field
00.5×3.4×
Mateusz Wydro · 1×
Citations per year

Countries citing papers authored by Oliver Kops

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Kops

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Oliver Kops, 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 Oliver Kops Line = papers co-authored together Oliver Kops links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2000470
2 1996113
3 199665
4 200258
5 200145
6 199828
7 199724

About Oliver Kops

Oliver Kops is a scholar working on Molecular Biology, Oncology, Immunology, Cardiology and Cardiovascular Medicine and Ecology, having authored 7 papers that have together received 803 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Peptidase Inhibition and Analysis (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Viral Infections and Immunology Research (1 paper), Plant tissue culture and regeneration (1 paper), Ubiquitin and proteasome pathways (1 paper), Enzyme Production and Characterization (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Immunology (211 citations), Molecular Biology (714 citations), Oncology (252 citations), Biotechnology (78 citations) and Cellular and Molecular Neuroscience (86 citations). Oliver Kops has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Kun Ping Lu, Xiao Zhen Zhou, Gunter Fischer, Pei‐Jung Lu, Gerlind Stoller, Michael J. R. Stark, Minhui Shen, Andreas Werner, Gerhard Küllertz and Ole Olsen. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Molecular Cell, Proceedings of the National Academy of Sciences and Biotechnology and Bioengineering.

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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