Daniel Filchtinski

422 citations
13 papers · 359 · h-index 9

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Protein Structure and Dynamics
    • Melanoma and MAPK Pathways
    • Enzyme function and inhibition
    • PI3K/AKT/mTOR signaling in cancer
    • Ion channel regulation and function
    • Computational Drug Discovery Methods

Papers in

    • Protein Kinase Regulation and GTPase Signaling 6
    • Protein Structure and Dynamics 3
    • Ion channel regulation and function 2
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 2

Daniel Filchtinski

12 papers receiving 358 citations

Peers

Daniel Filchtinski
Comparison fields: 5 of 48
  • Molecular Biology 316
  • Computational Theory and Mathematics 42
  • Cell Biology 37
  • Materials Chemistry 76
  • Spectroscopy 19
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Filchtinski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Filchtinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201098
2 201261
3 201055
4 200840
5 200936
6 201417
7 201015
8 201214
9 202112
10 20216
11 20083
12 20222
13 20250

About Daniel Filchtinski

Daniel Filchtinski is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Oncology and Cell Biology, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Protein Structure and Dynamics (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ion channel regulation and function (2 papers), COVID-19 Clinical Research Studies (2 papers), Metal complexes synthesis and properties (2 papers) and Synthesis and Reactivity of Heterocycles (1 paper). The work is most often cited by research in Molecular Biology (316 citations), Computational Theory and Mathematics (42 citations), Cell Biology (37 citations), Materials Chemistry (76 citations) and Spectroscopy (19 citations). Daniel Filchtinski has collaborated with scholars based in Germany, Israel and Switzerland. Frequent co-authors include Christian Herrmann, Hans Robert Kalbitzer, Michael Spoerner, Ingrid R. Vetter, Burkhard König, Alfred Wittinghofer, Thorsten Gräf, Lothar Gremer, Gideon Schreiber and Julia M. Shifman. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Immunological Methods, Journal of Molecular Biology, Bioconjugate Chemistry and Journal of Biological Chemistry.

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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