Daniel Merk
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Biochemistry top 2%
Papers in
- Biochemistry 18
- Eicosanoids and Hypertension Pharmacology 17
-
- Computational Drug Discovery Methods 36
- Co-authors
- Gisbert SchneiderEwgenij ProschakFrancesca GrisoniLukas FriedrichManfred Schubert‐ZsilaveczHolger StarkJan HeeringSabine Willems
- Journals
- Journal of Medicinal Chemistry (40 papers)ChemMedChem (12 papers)Communications Chemistry (8 papers)Expert Opinion on Therapeutic Patents (5 papers)ACS Medicinal Chemistry Letters (5 papers)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Daniel Merk
136 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 1.2k
- Biochemistry 201
- Cellular and Molecular Neuroscience 482
- Molecular Biology 1.8k
- Pharmacology 430
Countries citing papers authored by Daniel Merk
This map shows the geographic impact of Daniel Merk'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 Merk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Merk more than expected).
Fields of papers citing papers by Daniel Merk
This network shows the impact of papers produced by Daniel Merk. 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 Merk. The network helps show where Daniel Merk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Merk, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 44 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 23 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 9 | |
| 17 | 2016 | 48 | |
| 18 | 2014 | 31 | |
| 19 | 2014 | 6 | |
| 20 | 2013 | 14 |
About Daniel Merk
Daniel Merk is a scholar working on Biochemistry, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology, having authored 143 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (36 papers), Nuclear Receptors and Signaling (29 papers), Estrogen and related hormone effects (26 papers), Retinoids in leukemia and cellular processes (24 papers), Drug Transport and Resistance Mechanisms (24 papers), Peroxisome Proliferator-Activated Receptors (23 papers), Eicosanoids and Hypertension Pharmacology (17 papers) and Receptor Mechanisms and Signaling (13 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Biochemistry (201 citations), Cellular and Molecular Neuroscience (482 citations), Molecular Biology (1.8k citations) and Pharmacology (430 citations). Daniel Merk has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Gisbert Schneider, Ewgenij Proschak, Francesca Grisoni, Lukas Friedrich, Manfred Schubert‐Zsilavecz, Holger Stark, Jan Heering, Sabine Willems, Dieter Steinhilber and Christina Lamers. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Communications Chemistry, Expert Opinion on Therapeutic Patents and ACS Medicinal Chemistry Letters.
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.