Kai G. Kahl
- Biological Psychiatry top 1%
- Tryptophan and brain disorders 12
- Geriatrics and Gerontology top 0.5%
- Behavioral Neuroscience top 2%
- Psychiatry and Mental health top 2%
- Schizophrenia research and treatment 13
- Clinical Psychology top 2%
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- Cardiac Health and Mental Health 18
- Cardiovascular Issues in Pregnancy 10
- Heart Failure Treatment and Management 8
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- Diet and metabolism studies 11
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 9
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- Treatment of Major Depression 9
- Co-authors
- Ulrich SchweigerLotta WinterBrendon StubbsMarco SolmiNicola VeroneseAi KoyanagiWiebke GreggersenStefan Bleich
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Kai G. Kahl
112 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Biological Psychiatry 356
- Geriatrics and Gerontology 458
- Behavioral Neuroscience 213
- Psychiatry and Mental health 747
- Clinical Psychology 876
Countries citing papers authored by Kai G. Kahl
This map shows the geographic impact of Kai G. Kahl'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 G. Kahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai G. Kahl more than expected).
Fields of papers citing papers by Kai G. Kahl
This network shows the impact of papers produced by Kai G. Kahl. 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 G. Kahl. The network helps show where Kai G. Kahl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai G. Kahl, 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 36 | |
| 12 | 2016 | 56 | |
| 13 | 2015 | 72 | |
| 14 | 2015 | 3 | |
| 15 | 2015 | 83 | |
| 16 | 2014 | 22 | |
| 17 | 2013 | 11 | |
| 18 | 2008 | 53 | |
| 19 | 2006 | 13 | |
| 20 | 2005 | 51 |
About Kai G. Kahl
Kai G. Kahl is a scholar working on Biological Psychiatry, Cardiology and Cardiovascular Medicine and Psychiatry and Mental health, having authored 118 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (18 papers), Schizophrenia research and treatment (13 papers), Tryptophan and brain disorders (12 papers), Diet and metabolism studies (11 papers), Cardiovascular Issues in Pregnancy (10 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers), Treatment of Major Depression (9 papers) and Heart Failure Treatment and Management (8 papers). The work is most often cited by research in Biological Psychiatry (356 citations), Geriatrics and Gerontology (458 citations) and Behavioral Neuroscience (213 citations). Kai G. Kahl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ulrich Schweiger, Lotta Winter, Brendon Stubbs, Marco Solmi, Nicola Veronese, Ai Koyanagi, Wiebke Greggersen, Stefan Bleich, André F. Carvalho and Davy Vancampfort. Their work appears in journals such as NeuroImage, Scientific Reports and Psychological Medicine.
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.