Norbert Hübner
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- Renin-Angiotensin System Studies 9
- Aging top 2%
- Molecular Biology top 1%
- RNA Research and Splicing 21
- RNA modifications and cancer 18
- RNA and protein synthesis mechanisms 15
- Renal and related cancers 10
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals 14
- Immunology top 5%
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- Hormonal Regulation and Hypertension 13
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- Adipose Tissue and Metabolism 9
- Co-authors
- Herbert SchulzStuart A. CookKathrin SaarSebastian SchäferHenrike MaatzDetlev GantenFranz RüschendorfReinhold Kreutz
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Norbert Hübner
170 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cardiology and Cardiovascular Medicine 1.9k
- Aging 117
- Molecular Biology 4.2k
- Genetics 1.3k
- Immunology 912
Countries citing papers authored by Norbert Hübner
This map shows the geographic impact of Norbert Hübner'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 Norbert Hübner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Hübner more than expected).
Fields of papers citing papers by Norbert Hübner
This network shows the impact of papers produced by Norbert Hübner. 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 Norbert Hübner. The network helps show where Norbert Hübner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norbert Hübner, 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 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 41 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 8 | |
| 13 | 2017 | 179 | |
| 14 | [Primary failure of eruption (PFE). Clinical and molecular genetics analysis] Article in French | 2013 | 2 |
| 15 | 2010 | 47 | |
| 16 | 2008 | 16 | |
| 17 | 2005 | 62 | |
| 18 | 2005 | 57 | |
| 19 | 2004 | 4 | |
| 20 | 1997 | 75 |
About Norbert Hübner
Norbert Hübner is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 173 papers that have together received 8.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (21 papers), RNA modifications and cancer (18 papers), RNA and protein synthesis mechanisms (15 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Hormonal Regulation and Hypertension (13 papers), Renal and related cancers (10 papers), Adipose Tissue and Metabolism (9 papers) and Renin-Angiotensin System Studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Aging (117 citations) and Molecular Biology (4.2k citations). Norbert Hübner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Herbert Schulz, Stuart A. Cook, Kathrin Saar, Sebastian Schäfer, Henrike Maatz, Detlev Ganten, Franz Rüschendorf, Reinhold Kreutz, Michal Pravenec and Annette Hammes. Their work appears in journals such as Hypertension, PLoS ONE, Physiological Genomics, Nature Communications and Circulation Research.
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.