Katja Bargsten

3.5k citations
24 papers · 2.7k · h-index 22

Impact in

    • Microtubule and mitosis dynamics
    • Synthesis and biological activity
    • Click Chemistry and Applications

Papers in

    • 14-3-3 protein interactions 8
    • CRISPR and Genetic Engineering 5
    • Ubiquitin and proteasome pathways 4
    • Cancer therapeutics and mechanisms 3
    • Photosynthetic Processes and Mechanisms 3
    • RNA regulation and disease 3
    • Microtubule and mitosis dynamics 15

Katja Bargsten

24 papers receiving 2.6k citations

Peers

Katja Bargsten
Comparison fields: 5 of 99
  • Cell Biology 776
  • Organic Chemistry 883
  • Molecular Biology 1.7k
  • Business and International Management 51
  • Oncology 551
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Citations per field
00.5×5.3×
John J. Turchi · 1×
Citations per year

Countries citing papers authored by Katja Bargsten

Since Specialization
Citations

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

Fields of papers citing papers by Katja Bargsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013407
2 2014245
3 2014228
4 2017204
5 2013181
6 2014166
7 2016149
8 2016133
9 2022130
10 2018119
11 2014104
12 201791
13 201689
14 201668
15 201158
16 201657
17 202041
18 202338
19 201937
20 201136

About Katja Bargsten

Katja Bargsten is a scholar working on Molecular Biology, Cell Biology, Oncology, Organic Chemistry and Pharmacology, having authored 24 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (15 papers), 14-3-3 protein interactions (8 papers), Cancer Treatment and Pharmacology (6 papers), CRISPR and Genetic Engineering (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer therapeutics and mechanisms (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cell Biology (776 citations), Organic Chemistry (883 citations), Molecular Biology (1.7k citations), Business and International Management (51 citations) and Oncology (551 citations). Katja Bargsten has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Michel O. Steinmetz, A.E. Prota, J. Fernando Dı́az, Karl‐Heinz Altmann, Martin Jínek, Didier Zurwerra, Jessica J. Field, M. Marsh, Carolin Anders and Andrea Cavalli. Their work appears in journals such as Journal of Molecular Biology, eLife, Molecular Cell, Nature Communications and Molecular Biology of the Cell.

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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