Stephen A. Munk

888 citations
23 papers · 816 · h-index 12

Impact in

    • Synthesis and pharmacology of benzodiazepine derivatives
    • Synthesis and biological activity
    • Synthesis of Indole Derivatives
    • Synthesis and Reactions of Organic Compounds
    • Glaucoma and retinal disorders

Papers in

Stephen A. Munk

22 papers receiving 755 citations

Peers

Stephen A. Munk
Comparison fields: 5 of 27
  • Organic Chemistry 426
  • Ophthalmology 18
  • Molecular Biology 43
  • Pharmaceutical Science 4
  • Computational Theory and Mathematics 8
Replace Naoki Yoneda with:
Naoki Yoneda Japan
Andrew C. Donohue Australia
Sı́lvia Fonquerna Spain
Jennifer A. Lafontaine United States
Tie‐Gen Chen China
Aaron D. Wrobleski United States
Günther Roß Germany
Sajan P. Joseph United States
Sravanthi Devi Guggilapu India
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Citations per year

Countries citing papers authored by Stephen A. Munk

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Munk. 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 Stephen A. Munk. The network helps show where Stephen A. Munk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989142
2 1990129
3 1991100
4 199073
5 199256
6 199154
7 199150
8 199646
9 199743
10 199437
11 199135
12 199719
13 199611
14 19977
15
Managing the Drug Discovery Process: How to Make It More Efficient and Cost-Effective
20163
16 20163
17 20162
18 20232
19 20161
20 20161

About Stephen A. Munk

Stephen A. Munk is a scholar working on Organic Chemistry, Computational Theory and Mathematics, General Health Professions, Information Systems and Management and Economics and Econometrics, having authored 23 papers that have together received 816 indexed citations. Recurring topics across this work include Synthesis and pharmacology of benzodiazepine derivatives (8 papers), Computational Drug Discovery Methods (3 papers), Doctoral Education Challenges and Solutions (2 papers), Interdisciplinary Research and Collaboration (1 paper), Pharmaceutical Economics and Policy (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Organic Chemistry (426 citations), Ophthalmology (18 citations), Molecular Biology (43 citations), Pharmaceutical Science (4 citations) and Computational Theory and Mathematics (8 citations). Stephen A. Munk has collaborated with scholars based in United States. Frequent co-authors include Dale L. Boger, Takayoshi Ishizaki, Hamideh Zarrinmayeh, Paul A. Kitos, Oranart Suntornwat, Ronald J. Wysocki, Minou Bina, Subas M. Sakya, Michael E. Garst and Larry A. Wheeler. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry, The Journal of Organic Chemistry, Experimental Eye Research and Bioorganic & 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.

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