Oliver Kluth
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
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- Diet, Metabolism, and Disease
Papers in
- Surgery 8
- Pancreatic function and diabetes 8
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- Metabolism, Diabetes, and Cancer 3
- FOXO transcription factor regulation 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Annette Schürmann (16 shared papers)Brian J. DeBosch (1 shared paper)Hideji Fujiwara (1 shared paper)Kelle H. Moley (1 shared paper)Hans‐Georg Joost (7 shared papers)Stephan Scherneck (5 shared papers)Reinhart Kluge (4 shared papers)Heike Vogel (7 shared papers)
- Journals
- Diabetologia (2 papers)Cellular Signalling (2 papers)International Journal of Molecular Sciences (2 papers)Nature Communications (1 paper)Obesity Facts (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Oliver Kluth
17 papers receiving 530 citations
Peers
Comparison fields: 5 of 63
- Nephrology 124
- Endocrinology, Diabetes and Metabolism 121
- Surgery 191
- Genetics 103
- Physiology 89
Countries citing papers authored by Oliver Kluth
This map shows the geographic impact of Oliver Kluth'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 Oliver Kluth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Kluth more than expected).
Fields of papers citing papers by Oliver Kluth
This network shows the impact of papers produced by Oliver Kluth. 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 Oliver Kluth. The network helps show where Oliver Kluth may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Kluth, 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 | 2014 | 158 | |
| 2 | 2010 | 73 | |
| 3 | 2013 | 45 | |
| 4 | 2014 | 36 | |
| 5 | 2014 | 36 | |
| 6 | 2019 | 36 | |
| 7 | 2015 | 34 | |
| 8 | 2018 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2010 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2013 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2008 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 4 |
About Oliver Kluth
Oliver Kluth is a scholar working on Surgery, Molecular Biology, Physiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 535 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), FOXO transcription factor regulation (2 papers), PARP inhibition in cancer therapy (1 paper), Biomedical Research and Pathophysiology (1 paper), Epigenetics and DNA Methylation (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Nephrology (124 citations), Endocrinology, Diabetes and Metabolism (121 citations), Surgery (191 citations), Genetics (103 citations) and Physiology (89 citations). Oliver Kluth has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Annette Schürmann, Brian J. DeBosch, Hideji Fujiwara, Kelle H. Moley, Hans‐Georg Joost, Stephan Scherneck, Reinhart Kluge, Heike Vogel, Susanne Neschen and Daniel R. Kaiser. Their work appears in journals such as Diabetologia, Cellular Signalling, International Journal of Molecular Sciences, Nature Communications and Obesity Facts.
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.