Kai Tittmann
- Biochemistry top 0.05%
- Biochemical Acid Research Studies 68
- Amino Acid Enzymes and Metabolism 13
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders 51
- Neurology top 1%
- Alcoholism and Thiamine Deficiency 51
- Structural Biology top 5%
- Molecular Biology top 5%
- Redox biology and oxidative stress 6
- Biochemical and Molecular Research 5
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- Enzyme Structure and Function 12
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- Biomedical Research and Pathophysiology 5
- Co-authors
- Gerhard HübnerRalph GolbikRonald KlugerDavid M. ChipmanDanilo MeyerPiotr NeumannG. SchneiderRalf Ficner
- Journals
- Biochemistry (22 papers)Journal of Biological Chemistry (9 papers)Journal of Molecular Catalysis B Enzymatic (7 papers)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Kai Tittmann
100 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 126
- Biochemistry 1.8k
- Clinical Biochemistry 970
- Neurology 1.1k
- Structural Biology 45
- Molecular Biology 1.7k
Countries citing papers authored by Kai Tittmann
This map shows the geographic impact of Kai Tittmann'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 Kai Tittmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Tittmann more than expected).
Fields of papers citing papers by Kai Tittmann
This network shows the impact of papers produced by Kai Tittmann. 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 Kai Tittmann. The network helps show where Kai Tittmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Tittmann, 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 26 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 82 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 39 | |
| 9 | 2016 | 164 | |
| 10 | Mechanistic and Structural Insight to an Evolved Benzoylformate Decarboxylase with Enhanced Pyruvate Decarboxylase Activity | 2016 | 0 |
| 11 | 2016 | 16 | |
| 12 | 2015 | 11 | |
| 13 | 2012 | 10 | |
| 14 | 2011 | 37 | |
| 15 | 2011 | 5 | |
| 16 | 2010 | 26 | |
| 17 | 2009 | 5 | |
| 18 | 2009 | 48 | |
| 19 | 2003 | 66 | |
| 20 | 1998 | 45 |
About Kai Tittmann
Kai Tittmann is a scholar working on Biochemistry, Clinical Biochemistry, Neurology, Biological Psychiatry and Physiology, having authored 102 papers that have together received 3.6k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (68 papers), Metabolism and Genetic Disorders (51 papers), Alcoholism and Thiamine Deficiency (51 papers), Amino Acid Enzymes and Metabolism (13 papers), Enzyme Structure and Function (12 papers), Redox biology and oxidative stress (6 papers), Biochemical and Molecular Research (5 papers) and Biomedical Research and Pathophysiology (5 papers). The work is most often cited by research in Biochemistry (1.8k citations), Clinical Biochemistry (970 citations), Neurology (1.1k citations), Structural Biology (45 citations) and Molecular Biology (1.7k citations). Kai Tittmann has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Gerhard Hübner, Ralph Golbik, Ronald Kluger, David M. Chipman, Danilo Meyer, Piotr Neumann, G. Schneider, Ralf Ficner, Ricardo A. Mata and G. Wille. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Catalysis B Enzymatic, Nature Chemical Biology and FEBS Journal.
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.