Daniel Merk

6.0k citations
163 papers · 3.9k · 2 hit papers · h-index 33

Impact in

Papers in

Daniel Merk

150 papers receiving 3.8k citations

Daniel Merk's Hit Papers

De Novo Design of Bioactive Small Molecules by Artificial Intelligence 2018 · 284 citations
2840+2+5Years since publication100200300

Peers

Daniel Merk
Comparison fields: 5 of 146
  • Computational Theory and Mathematics 1.3k
  • Cellular and Molecular Neuroscience 512
  • Pharmacology 445
  • Molecular Biology 1.9k
  • Biochemistry 199
Replace Stephan C. Schürer with:
Stephan C. Schürer United States
Weiqiang Lü China
Sheng Tian China
Bridget K. Wagner United States
David G. Tew United Kingdom
Anneli Karlsson Sweden
Yong Xu China
David T. Manallack Australia
Julen Oyarzábal Spain
Ru Wei United States
Daniel Merk relative to Stephan C. Schürer United States Stephan C. Schürer's profile →
Citations per field
00.5×2.8×
Stephan C. Schürer · 1×
Citations per year

Countries citing papers authored by Daniel Merk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Merk Line = papers co-authored together Daniel Merk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polypharmacology by Design: A Medicinal Chemist’s Perspective on Multitargeting Compounds
Hit paper breakdown →
2018378
2
De Novo Design of Bioactive Small Molecules by Artificial Intelligence
Hit paper breakdown →
2018284
3 2020155
4 2021116
5 201894
6 202187
7 201982
8 201777
9 201775
10 201774
11 201969
12 201863
13 202161
14 201258
15 202452
16 201450
17 201550
18 201649
19 202149
20 201547

About Daniel Merk

Daniel Merk is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Organic Chemistry and Genetics, having authored 163 papers that have together received 3.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Nuclear Receptors and Signaling (30 papers), Drug Transport and Resistance Mechanisms (25 papers), Estrogen and related hormone effects (25 papers), Retinoids in leukemia and cellular processes (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 (1.3k citations), Cellular and Molecular Neuroscience (512 citations), Pharmacology (445 citations), Molecular Biology (1.9k citations) and Biochemistry (199 citations). Daniel Merk has collaborated with scholars based in Germany, Switzerland and United States. 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, Bioorganic & Medicinal Chemistry and Scientific Reports.

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.

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