Daniel Sehrt
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 1
- Oncology 5
- Cancer-related Molecular Pathways 2
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Jürgen Brockmöller (7 shared papers)Mladen V. Tzvetkov (7 shared papers)Ingolf Meineke (2 shared papers)Stefan Viktor Vormfelde (3 shared papers)Eric Leibing (1 shared paper)Jennifer Gile (1 shared paper)Tobias Eckle (1 shared paper)Yoshimasa Oyama (1 shared paper)
- Journals
- Pharmacogenomics (2 papers)Molecular Cancer Therapeutics (1 paper)Cell Metabolism (1 paper)Journal of Psychiatric Research (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Daniel Sehrt
12 papers receiving 246 citations
Peers
Comparison fields: 5 of 78
- Pharmacology 53
- Aging 6
- Endocrinology, Diabetes and Metabolism 41
- Cardiology and Cardiovascular Medicine 46
- Endocrine and Autonomic Systems 13
Countries citing papers authored by Daniel Sehrt
This map shows the geographic impact of Daniel Sehrt'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 Sehrt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sehrt more than expected).
Fields of papers citing papers by Daniel Sehrt
This network shows the impact of papers produced by Daniel Sehrt. 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 Sehrt. The network helps show where Daniel Sehrt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sehrt, 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 | 2011 | 47 | |
| 2 | 2011 | 47 | |
| 3 | 2005 | 31 | |
| 4 | 2006 | 24 | |
| 5 | 2013 | 20 | |
| 6 | 2010 | 20 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 10 | |
| 10 | 2009 | 9 | |
| 11 | 2009 | 5 | |
| 12 | 2011 | 4 |
About Daniel Sehrt
Daniel Sehrt is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Pharmacology, having authored 12 papers that have together received 252 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Hormonal Regulation and Hypertension (2 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Pancreatic function and diabetes (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Pharmacology (53 citations), Aging (6 citations), Endocrinology, Diabetes and Metabolism (41 citations), Cardiology and Cardiovascular Medicine (46 citations) and Endocrine and Autonomic Systems (13 citations). Daniel Sehrt has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Jürgen Brockmöller, Mladen V. Tzvetkov, Ingolf Meineke, Stefan Viktor Vormfelde, Eric Leibing, Jennifer Gile, Tobias Eckle, Yoshimasa Oyama, Qiong Zhou and Zhenwei Gong. Their work appears in journals such as Pharmacogenomics, Molecular Cancer Therapeutics, Cell Metabolism, Journal of Psychiatric Research and Frontiers in Genetics.
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.