Katja Kapp

1.1k citations
19 papers · 653 · h-index 13

Impact in

Papers in

    • Protein Tyrosine Phosphatases 4
    • Glycosylation and Glycoproteins Research 3
    • Metabolism, Diabetes, and Cancer 2
    • Cellular transport and secretion 3
    • Hippo pathway signaling and YAP/TAZ 2

Katja Kapp

19 papers receiving 643 citations

Peers

Katja Kapp
Comparison fields: 5 of 65
  • Parasitology 176
  • Aging 19
  • Cellular and Molecular Neuroscience 160
  • Insect Science 110
  • Sensory Systems 30
Replace Tobin J. Cammett with:
Tobin J. Cammett United States
E. S. Snigirevskaya Russia
Savitha Kalidas United States
Michael Povelones United States
Jérôme Beaufays Belgium
Feici Diao China
Amy D. Brideau United States
Shanming Ji China
Conchita Ferraz France
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Citations per field
00.5×6.3×
Tobin J. Cammett · 1×
Citations per year

Countries citing papers authored by Katja Kapp

Since Specialization
Citations

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

Fields of papers citing papers by Katja Kapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007160
2 200678
3 200262
4 200248
5 200846
6 200446
7 201038
8 201134
9 200128
10 201321
11 201016
12 200316
13 201512
14 201711
15 20069
16 20038
17 20128
18 20047
19 20185

About Katja Kapp

Katja Kapp is a scholar working on Molecular Biology, Cell Biology, Parasitology, Genetics and Immunology, having authored 19 papers that have together received 653 indexed citations. Recurring topics across this work include Parasites and Host Interactions (5 papers), Protein Tyrosine Phosphatases (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cellular transport and secretion (3 papers), Galectins and Cancer Biology (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Research on Leishmaniasis Studies (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Parasitology (176 citations), Aging (19 citations), Cellular and Molecular Neuroscience (160 citations), Insect Science (110 citations) and Sensory Systems (30 citations). Katja Kapp has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Werner Kunz, Christoph G. Grevelding, Bernhard Dobberstein, Volker Wippersteg, Scott A. Kreher, IngMarie Nilsson, Gunnar von Heijne, Carolina Lundin, Erik L. L. Sonnhammer and Lukas Käll. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Cell Biology, Molecular and Biochemical Parasitology, Biochemical and Biophysical Research Communications and The FASEB 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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