G. Wille
Impact in
- Biochemistry top 2%
- Biochemical Acid Research Studies
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
- Biochemistry 12
- Biochemical Acid Research Studies 11
- Amino Acid Enzymes and Metabolism 5
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- Photosynthetic Processes and Mechanisms 2
- Porphyrin Metabolism and Disorders 2
- Co-authors
- Ralph Golbik (6 shared papers)Kai Tittmann (5 shared papers)Gerhard Hübner (5 shared papers)M.S. Weiss (6 shared papers)Rudolf Friedemann (2 shared papers)Danilo Meyer (1 shared paper)Stephan König (5 shared papers)Werner Mäntele (5 shared papers)
- Journals
- Biochemistry (5 papers)FEBS Journal (4 papers)Journal of Biological Chemistry (1 paper)Nature Chemical Biology (1 paper)Review of Scientific Instruments (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
G. Wille
19 papers receiving 510 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 270
- Clinical Biochemistry 162
- Neurology 156
- Biological Psychiatry 9
- Process Chemistry and Technology 9
Countries citing papers authored by G. Wille
This map shows the geographic impact of G. Wille'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 G. Wille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Wille more than expected).
Fields of papers citing papers by G. Wille
This network shows the impact of papers produced by G. Wille. 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 G. Wille. The network helps show where G. Wille may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Wille, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 99 | |
| 2 | 2007 | 93 | |
| 3 | 2005 | 58 | |
| 4 | 2003 | 52 | |
| 5 | 2004 | 45 | |
| 6 | 2009 | 37 | |
| 7 | 2006 | 20 | |
| 8 | 2009 | 19 | |
| 9 | 2010 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2005 | 11 | |
| 12 | 2011 | 10 | |
| 13 | 2013 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2008 | 6 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 0 |
About G. Wille
G. Wille is a scholar working on Biochemistry, Molecular Biology, Neurology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 512 indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (11 papers), Alcoholism and Thiamine Deficiency (7 papers), Metabolism and Genetic Disorders (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Photoreceptor and optogenetics research (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Photosynthetic Processes and Mechanisms (2 papers) and Porphyrin Metabolism and Disorders (2 papers). The work is most often cited by research in Biochemistry (270 citations), Clinical Biochemistry (162 citations), Neurology (156 citations), Biological Psychiatry (9 citations) and Process Chemistry and Technology (9 citations). G. Wille has collaborated with scholars based in Germany and United States. Frequent co-authors include Ralph Golbik, Kai Tittmann, Gerhard Hübner, M.S. Weiss, Rudolf Friedemann, Danilo Meyer, Stephan König, Werner Mäntele, C. Parthier and Sandro Ghisla. Their work appears in journals such as Biochemistry, FEBS Journal, Journal of Biological Chemistry, Nature Chemical Biology and Review of Scientific Instruments.
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.