Gerhard Gstraunthaler
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes 6
- Genetics top 5%
- Urology top 2%
- Molecular Biology top 5%
- Ion Transport and Channel Regulation 12
- Renal and related cancers 10
- Viral Infectious Diseases and Gene Expression in Insects 9
- Pluripotent Stem Cells Research 6
- Small Animals top 5%
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- Metabolism and Genetic Disorders 9
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- Pancreatic function and diabetes 6
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- Amino Acid Enzymes and Metabolism 5
- Co-authors
- Walter PfallerToni LindlJan van der ValkPeter KotankoNorman P. CurthoysPaul HoneggerÅsa Fex SvenningsenMaria Laura Scarino
- Cited by
- NephrologyGeneticsUrology
- Journals
- Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Gerhard Gstraunthaler
70 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Nephrology 221
- Genetics 317
- Urology 155
- Molecular Biology 1.6k
- Small Animals 125
Countries citing papers authored by Gerhard Gstraunthaler
This map shows the geographic impact of Gerhard Gstraunthaler'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 Gerhard Gstraunthaler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Gstraunthaler more than expected).
Fields of papers citing papers by Gerhard Gstraunthaler
This network shows the impact of papers produced by Gerhard Gstraunthaler. 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 Gerhard Gstraunthaler. The network helps show where Gerhard Gstraunthaler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerhard Gstraunthaler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 36 | |
| 2 | 2018 | 30 | |
| 3 | 2017 | 8 | |
| 4 | 2017 | 9 | |
| 5 | 2015 | 10 | |
| 6 | 2014 | 2 | |
| 7 | 2014 | 16 | |
| 8 | 2013 | 59 | |
| 9 | 2013 | 171 | |
| 10 | Optimization of chemically defined cell culture media – Replacing fetal bovine serum in mammalian in vitro methodsbreakdown → | 2010 | 460 |
| 11 | 2007 | 10 | |
| 12 | 2005 | 8 | |
| 13 | 1999 | 75 | |
| 14 | 1998 | 118 | |
| 15 | 1998 | 6 | |
| 16 | 1993 | 6 | |
| 17 | 1993 | 11 | |
| 18 | 1990 | 38 | |
| 19 | 1989 | 2 | |
| 20 | 1988 | 103 |
About Gerhard Gstraunthaler
Gerhard Gstraunthaler is a scholar working on Nephrology, Clinical Biochemistry and Biochemistry, having authored 70 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (12 papers), Renal and related cancers (10 papers), Metabolism and Genetic Disorders (9 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Chronic Kidney Disease and Diabetes (6 papers), Pluripotent Stem Cells Research (6 papers), Pancreatic function and diabetes (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Nephrology (221 citations), Genetics (317 citations) and Urology (155 citations). Gerhard Gstraunthaler has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Walter Pfaller, Toni Lindl, Jan van der Valk, Peter Kotanko, Norman P. Curthoys, Paul Honegger, Åsa Fex Svenningsen, Maria Laura Scarino, Alivia Lee Price and Jens Noraberg. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.
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.