Knut Eis

1.3k citations
18 papers · 1.1k · h-index 12

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Degradation and Inhibitors
    • Melanoma and MAPK Pathways

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Peroxisome Proliferator-Activated Receptors 2
    • DNA Repair Mechanisms 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Synthesis and biological activity 2

Knut Eis

18 papers receiving 1k citations

Peers

Knut Eis
Comparison fields: 5 of 58
  • Cell Biology 144
  • Molecular Biology 485
  • Organic Chemistry 230
  • Oncology 139
  • Computational Theory and Mathematics 102
Replace Lars Wortmann with:
Lars Wortmann Germany
Fulvia Roletto Italy
Sylvia Musto United States
George B. Hill United Kingdom
Xingzhi Tan United States
Aurelio Marsiglio Italy
Jiaquan Wu United States
Young Shin Cho United States
Nicola M. Heron United Kingdom
Brian L. Hodous United States
Knut Eis relative to Lars Wortmann Germany Lars Wortmann's profile →
Citations per field
00.5×1.5×1.9×
Lars Wortmann · 1×
Citations per year

Countries citing papers authored by Knut Eis

Since Specialization
Citations

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

Fields of papers citing papers by Knut Eis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019320
2 2017166
3 2007165
4 200079
5 202063
6 201753
7 202047
8 201838
9 200630
10 202026
11 202114
12 202212
13 199711
14 202211
15 202211
16 20258
17 20247
18 20051

About Knut Eis

Knut Eis is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cell Biology and Computational Theory and Mathematics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Lung Cancer Treatments and Mutations (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), DNA Repair Mechanisms (2 papers), Synthesis and biological activity (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), PARP inhibition in cancer therapy (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cell Biology (144 citations), Molecular Biology (485 citations), Organic Chemistry (230 citations), Oncology (139 citations) and Computational Theory and Mathematics (102 citations). Knut Eis has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Hans‐Günther Schmalz, Dominik Mumberg, Marcus Koppitz, Volker Schulze, Francis A. Barr, Rüdiger Neef, Anna Santamaría, Uwe Eberspächer, Lars Wortmann and Manfred Husemann. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Synthesis, European Journal of Cancer and iScience.

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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