Katja Zebisch

824 citations
7 papers · 645 indexed · 1 hit paper · h-index 6
Topics
Drug Transport and Resistance Mechanisms (6 papers)Amino Acid Enzymes and Metabolism (4 papers)Ion Transport and Channel Regulation (2 papers)

In The Last Decade

Katja Zebisch

7 papers receiving 633 citations

Hit Papers

Protocol for effective differentiation of 3T3-L1 cells to...20122026201620212012100200300400

Peers

Katja Zebisch
Comparison fields: 5 of 91
  • Molecular Biology 282
  • Physiology 205
  • Epidemiology 149
  • Oncology 123
  • Biochemistry 78
Replace Hye‐Eun Choi with:
Hye‐Eun Choi South Korea
Miso Nam South Korea
Marı́a Teresa Ronco Argentina
Jinu‐Huang Su Taiwan
Donatella Vizza Italy
Margarita Díaz-Flores Mexico
Marina Galicia‐Moreno Mexico
Jerzy Wiśniewski Poland
Francisco J.G. Muriana Spain
Tejia Zhang United States
Katja Zebisch relative to Hye‐Eun Choi South Korea Hye‐Eun Choi's profile →
Citations per field
00.5×1.5×2.0×
Hye‐Eun Choi · 1×
Citations per year

Countries citing papers authored by Katja Zebisch

Since Specialization
Citations

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

Fields of papers citing papers by Katja Zebisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Zebisch

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Zebisch. A scholar is included among the top collaborators of Katja Zebisch 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 Zebisch. Katja Zebisch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2
Protocol for effective differentiation of 3T3-L1 cells to adipocytesbreakdown →
451
3 8
4 13
5 21
6 74
7 73

About Katja Zebisch

Katja Zebisch is a scholar working on Biochemistry, Physiology and Oncology, having authored 7 papers that have together received 645 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Amino Acid Enzymes and Metabolism (4 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Biochemistry (78 citations), Physiology (205 citations) and Biochemistry (33 citations). Katja Zebisch has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Matthias Brandsch, Martin Wabitsch, Ilka Knütter, Gábor Kottra, Iris Thondorf, Hannelore Daniel, Reinhard H.H. Neubert, Wiebke Fischer, Stephan Theis and K. Neubert. Their work appears in journals such as Analytical Biochemistry, Journal of Pharmacology and Experimental Therapeutics and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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