Edgar Schuck

1.6k citations
42 papers · 760 · h-index 18

Impact in

Papers in

    • Phosphodiesterase function and regulation 4
    • Cancer therapeutics and mechanisms 4
    • Cancer Treatment and Pharmacology 6
    • Drug Transport and Resistance Mechanisms 5

Edgar Schuck

42 papers receiving 734 citations

Peers

Edgar Schuck
Comparison fields: 5 of 108
  • Pharmacology 161
  • Molecular Medicine 45
  • Pharmacology 68
  • Computational Theory and Mathematics 109
  • Physiology 143
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Xiao Zhu China
Rujia Xie United States
Daniela J. Conrado United States
Paul J. Ciaccio United States
Stuart Friedrich United States
Ronald de Vries Belgium
W J Jusko United States
Nikolay Borisov Russia
Svein Øie United States
JA Wagner United States
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Citations per field
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Citations per year

Countries citing papers authored by Edgar Schuck

Since Specialization
Citations

This map shows the geographic impact of Edgar Schuck'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 Edgar Schuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edgar Schuck more than expected).

Fields of papers citing papers by Edgar Schuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar Schuck. 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 Edgar Schuck. The network helps show where Edgar Schuck may publish in the future.

Co-authors

The 25 scholars most cited alongside Edgar Schuck, 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 Edgar Schuck Line = papers co-authored together Edgar Schuck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200482
2 201864
3 201960
4 201445
5 201935
6 200533
7 201931
8 201330
9 201629
10 200528
11 202125
12 201723
13 201823
14 201722
15 200722
16 201020
17 201319
18 201018
19 200517
20 201116

About Edgar Schuck

Edgar Schuck is a scholar working on Molecular Biology, Oncology, Pharmacology, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 42 papers that have together received 760 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (6 papers), Computational Drug Discovery Methods (6 papers), Pharmacological Effects and Toxicity Studies (5 papers), Epilepsy research and treatment (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Phosphodiesterase function and regulation (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Pharmacology (161 citations), Molecular Medicine (45 citations), Pharmacology (68 citations), Computational Theory and Mathematics (109 citations) and Physiology (143 citations). Edgar Schuck has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Hartmut Derendorf, Lakshmi Putcha, Jim Ferry, Christopher DesJardins, Alice Tsai, Marjoleen Nijsen, Y. Nancy Wong, Jason R. Chan, Mary E. Spilker and Mark Penney. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Alzheimer s & Dementia, The Journal of Clinical Pharmacology, Bioorganic & Medicinal Chemistry Letters and Cancer Chemotherapy and Pharmacology.

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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