Daniel Teupser
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 14
- Biological Psychiatry top 2%
- Molecular Biology top 1%
- RNA modifications and cancer 13
- RNA Research and Splicing 10
- Behavioral Neuroscience top 2%
- Immunology top 2%
- Atherosclerosis and Cardiovascular Diseases 21
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- Adipokines, Inflammation, and Metabolic Diseases 15
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- Cholesterol and Lipid Metabolism 13
- Organ Transplantation Techniques and Outcomes 13
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- Genetic Associations and Epidemiology 10
- Co-authors
- Lesca M. HoldtJoachim ThieryMatthias MannPhilipp E. GeyerAlexander KohlmaierFrank BeutnerGábor GäbelNils A. Kulak
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (16 papers)Atherosclerosis (8 papers)PLoS ONE (8 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Teupser
169 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 2.5k
- Biological Psychiatry 240
- Molecular Biology 4.5k
- Behavioral Neuroscience 213
- Immunology 1.2k
Countries citing papers authored by Daniel Teupser
This map shows the geographic impact of Daniel Teupser'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 Daniel Teupser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Teupser more than expected).
Fields of papers citing papers by Daniel Teupser
This network shows the impact of papers produced by Daniel Teupser. 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 Daniel Teupser. The network helps show where Daniel Teupser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Teupser, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 6 | |
| 13 | 2017 | 36 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 5 | |
| 16 | 2013 | 307 | |
| 17 | 2012 | 24 | |
| 18 | 2007 | 5 | |
| 19 | 2007 | 21 | |
| 20 | 2002 | 2 |
About Daniel Teupser
Daniel Teupser is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cancer Research, having authored 174 papers that have together received 9.3k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (21 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (13 papers), Cholesterol and Lipid Metabolism (13 papers), Organ Transplantation Techniques and Outcomes (13 papers), Genetic Associations and Epidemiology (10 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Cancer Research (2.5k citations), Biological Psychiatry (240 citations) and Molecular Biology (4.5k citations). Daniel Teupser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Lesca M. Holdt, Joachim Thiery, Matthias Mann, Philipp E. Geyer, Alexander Kohlmaier, Frank Beutner, Gábor Gäbel, Nils A. Kulak, Garwin Pichler and Markus Scholz. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, PLoS ONE, Clinical Chemistry and Laboratory Medicine (CCLM) and EMBO Molecular 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.