J. Renn
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
Papers in
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- Bone Metabolism and Diseases 9
- TGF-β signaling in diseases 3
- Developmental Biology and Gene Regulation 3
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- Spaceflight effects on biology 4
- Co-authors
- Christoph Winkler (12 shared papers)Stefan Schulte‐Merker (2 shared papers)Kirsten M. Spoorendonk (1 shared paper)Josi Peterson-Maduro (1 shared paper)Torsten Trowe (1 shared paper)S. Kranenbarg (1 shared paper)R. Goerlich (7 shared papers)Manfred Schartl (3 shared papers)
In The Last Decade
J. Renn
19 papers receiving 490 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 108
- Aquatic Science 48
- Molecular Biology 288
- Cancer Research 55
- Genetics 105
Countries citing papers authored by J. Renn
This map shows the geographic impact of J. Renn'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 J. Renn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Renn more than expected).
Fields of papers citing papers by J. Renn
This network shows the impact of papers produced by J. Renn. 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 J. Renn. The network helps show where J. Renn may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Renn, 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 | 2008 | 202 | |
| 2 | 2013 | 52 | |
| 3 | 2006 | 46 | |
| 4 | 2010 | 30 | |
| 5 | 2014 | 28 | |
| 6 | 2003 | 28 | |
| 7 | 2015 | 21 | |
| 8 | 2012 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2007 | 15 | |
| 11 | 2012 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2005 | 7 | |
| 14 | 2024 | 6 | |
| 15 | Small Fish Species as Powerful Model Systems to Study Vertebrate Physiology in Space | 2008 | 5 |
| 16 | A novel col10a1:nlGFP transgenic line displays osteoblast precursors at the medaka notochordal sheath prior to mineralization. | 2013 | 1 |
| 17 | Small Fish Species as Powerful Model Systems to Study Vertebrate Physiology in Space | 2008 | 1 |
| 18 | 2005 | 1 | |
| 19 | 2014 | 1 |
About J. Renn
J. Renn is a scholar working on Molecular Biology, Physiology, Nature and Landscape Conservation, Ecology and Obstetrics and Gynecology, having authored 19 papers that have together received 495 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), Spaceflight effects on biology (4 papers), TGF-β signaling in diseases (3 papers), Pregnancy and preeclampsia studies (3 papers), Zebrafish Biomedical Research Applications (3 papers), MicroRNA in disease regulation (3 papers), Physiological and biochemical adaptations (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Cell Biology (108 citations), Aquatic Science (48 citations), Molecular Biology (288 citations), Cancer Research (55 citations) and Genetics (105 citations). J. Renn has collaborated with scholars based in Singapore, Germany and Belgium. Frequent co-authors include Christoph Winkler, Stefan Schulte‐Merker, Kirsten M. Spoorendonk, Josi Peterson-Maduro, Torsten Trowe, S. Kranenbarg, R. Goerlich, Manfred Schartl, Marc Müller and Anita Büttner. Their work appears in journals such as Advances in Space Research, Developmental Biology, Journal of Structural Biology, Development and PROTOPLASMA.
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.