Norbert Naß
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Aging top 10%
Papers in
-
- Plant Reproductive Biology 4
-
- Advanced Glycation End Products research 19
- Co-authors
- Dierk Scheel (5 shared papers)Thorsten Nürnberger (2 shared papers)Beatrix Blume (2 shared papers)Andreas Simm (20 shared papers)Thomas Kalinski (28 shared papers)Babett Bartling (5 shared papers)Rolf‐Edgar Silber (10 shared papers)Dieter Peschel (1 shared paper)
- Journals
- Experimental Gerontology (5 papers)Cancers (3 papers)Anticancer Research (2 papers)Biomolecules (2 papers)Graefe s Archive for Clinical and Experimental Ophthalmology (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Norbert Naß
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Clinical Biochemistry 330
- Aging 30
- Plant Science 603
- Molecular Medicine 71
- Endocrinology, Diabetes and Metabolism 165
Countries citing papers authored by Norbert Naß
This map shows the geographic impact of Norbert Naß'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 Naß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Naß more than expected).
Fields of papers citing papers by Norbert Naß
This network shows the impact of papers produced by Norbert Naß. 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 Naß. The network helps show where Norbert Naß may publish in the future.
Co-authors
The 25 scholars most cited alongside Norbert Naß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 378 | |
| 2 | 2007 | 131 | |
| 3 | 2006 | 128 | |
| 4 | 1994 | 115 | |
| 5 | 2008 | 111 | |
| 6 | 2007 | 79 | |
| 7 | 2002 | 71 | |
| 8 | 2015 | 60 | |
| 9 | 2014 | 46 | |
| 10 | 2010 | 44 | |
| 11 | 2012 | 38 | |
| 12 | 2018 | 38 | |
| 13 | 2019 | 36 | |
| 14 | 2013 | 34 | |
| 15 | 2016 | 33 | |
| 16 | 2000 | 29 | |
| 17 | 1996 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2014 | 25 | |
| 20 | 2006 | 22 |
About Norbert Naß
Norbert Naß is a scholar working on Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Plant Science and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (19 papers), Natural Antidiabetic Agents Studies (4 papers), Fatty Acid Research and Health (4 papers), Corneal Surgery and Treatments (4 papers), Plant Reproductive Biology (4 papers), Cholesterol and Lipid Metabolism (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Clinical Biochemistry (330 citations), Aging (30 citations), Plant Science (603 citations), Molecular Medicine (71 citations) and Endocrinology, Diabetes and Metabolism (165 citations). Norbert Naß has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Dierk Scheel, Thorsten Nürnberger, Beatrix Blume, Andreas Simm, Thomas Kalinski, Babett Bartling, Rolf‐Edgar Silber, Dieter Peschel, Britt Hofmann and Adrienne E. Clarke. Their work appears in journals such as Experimental Gerontology, Cancers, Anticancer Research, Biomolecules and Graefe s Archive for Clinical and Experimental Ophthalmology.
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.