Katja T. Koessmeier

523 citations
8 papers · 381 indexed · h-index 7
Topics
Protein Kinase Regulation and GTPase Signaling (5 papers)Cellular transport and secretion (4 papers)Amino Acid Enzymes and Metabolism (1 paper)

In The Last Decade

Katja T. Koessmeier

8 papers receiving 376 citations

Peers

Katja T. Koessmeier
Comparison fields: 5 of 60
  • Molecular Biology 265
  • Cell Biology 197
  • Epidemiology 49
  • Physiology 36
  • Genetics 29
Replace Anna K. Townley with:
Anna K. Townley United Kingdom
Masanao Toshimori Japan
Stefan Welti Germany
Erin T. Strovel United States
Margherita Scarpa Spain
Regina Pacitto United States
Shigemi Sasawatari Japan
David L. Mellman United States
Noemi Antonella Guadagno Norway
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Katja T. Koessmeier relative to Anna K. Townley United Kingdom Anna K. Townley's profile →
Citations per field
00.5×1.6×
Anna K. Townley · 1×
Citations per year

Countries citing papers authored by Katja T. Koessmeier

Since Specialization
Citations

This map shows the geographic impact of Katja T. Koessmeier'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 T. Koessmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja T. Koessmeier more than expected).

Fields of papers citing papers by Katja T. Koessmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja T. Koessmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Katja T. Koessmeier. A scholar is included among the top collaborators of Katja T. Koessmeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katja T. Koessmeier. Katja T. Koessmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 83
2 29
3 135
4 35
5
The p101 subunit of PI3K gamma restores activation by G beta mutants deficient in stimulating p110 gamma
1
6 19
7 56
8 23

About Katja T. Koessmeier

Katja T. Koessmeier is a scholar working on Cell Biology, Biochemistry and Molecular Biology, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular transport and secretion (4 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Cell Biology (197 citations), Physiology (18 citations) and Molecular Biology (265 citations). Katja T. Koessmeier has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Mohammad Reza Ahmadian, Vania Braga, Radovan Dvorský, Mamta Jaiswal, Lothar Gremer, Ehsan Amin, Urszula Derewenda, Kazem Nouri, Avril V. Somlyo and Katarina Reis. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and Biochemical Journal.

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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