Käthi Geering

5.2k citations
67 papers · 4.5k · h-index 34

Impact in

Papers in

Käthi Geering

67 papers receiving 4.4k citations

Peers

Käthi Geering
Comparison fields: 5 of 116
  • Molecular Biology 3.5k
  • Sensory Systems 119
  • Cellular and Molecular Neuroscience 458
  • Aquatic Science 172
  • Nephrology 152
Replace Kathleen J. Sweadner with:
Kathleen J. Sweadner United States
Gustavo V. Blanco United States
Daniel Biemesderfer United States
Kaethi Geering Switzerland
Larry Fliegel Canada
Jie Xu United States
Rhoda E. Blostein Canada
Shigeo Wakabayashi Japan
Christian Y. Lytle United States
Laurent Counillon France
Käthi Geering relative to Kathleen J. Sweadner United States Kathleen J. Sweadner's profile →
Citations per field
00.5×1.5×
Kathleen J. Sweadner · 1×
Citations per year

Countries citing papers authored by Käthi Geering

Since Specialization
Citations

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

Fields of papers citing papers by Käthi Geering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000375
2 2006304
3 1990303
4 2008287
5 2001275
6 2001261
7 2002242
8 1991192
9 1998129
10 2003117
11 2009108
12 200593
13 200792
14 199990
15 198183
16 201177
17 200472
18 199669
19 200367
20 199867

About Käthi Geering

Käthi Geering is a scholar working on Molecular Biology, Nutrition and Dietetics, Surgery, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 67 papers that have together received 4.5k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (53 papers), Ion channel regulation and function (19 papers), Pancreatic function and diabetes (13 papers), ATP Synthase and ATPases Research (10 papers), Membrane-based Ion Separation Techniques (8 papers), Magnesium in Health and Disease (7 papers), Plant Stress Responses and Tolerance (5 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Sensory Systems (119 citations), Cellular and Molecular Neuroscience (458 citations), Aquatic Science (172 citations) and Nephrology (152 citations). Käthi Geering has collaborated with scholars based in Switzerland, United States and Czechia. Frequent co-authors include Gilles Crambert, Jean‐Daniel Horisberger, Pascal Béguin, Udo Hasler, Ahmed Beggah, Alicia Ann McDonough, Robert A. Farley, Stéphanie Bibert, Nikolaï N. Modyanov and Haim Garty. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences, Molecular Biology of the Cell, Biochemistry and American Journal of Physiology-Renal Physiology.

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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