Mark S. Butler

14.7k total citations · 6 hit papers
147 papers, 8.7k citations indexed

About

Mark S. Butler is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Mark S. Butler has authored 147 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 45 papers in Pharmacology and 40 papers in Organic Chemistry. Recurrent topics in Mark S. Butler's work include Microbial Natural Products and Biosynthesis (32 papers), Marine Sponges and Natural Products (25 papers) and Antibiotic Resistance in Bacteria (24 papers). Mark S. Butler is often cited by papers focused on Microbial Natural Products and Biosynthesis (32 papers), Marine Sponges and Natural Products (25 papers) and Antibiotic Resistance in Bacteria (24 papers). Mark S. Butler collaborates with scholars based in Australia, Singapore and United States. Mark S. Butler's co-authors include Matthew A. Cooper, Mark A. T. Blaskovich, Avril A. B. Robertson, Antony D. Buss, Robert J. Capon, David L. Paterson, Karl A. Hansford, Johnny X. Huang, Siew Bee Ng and Luke O'neill and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Brain.

In The Last Decade

Mark S. Butler

142 papers receiving 8.4k citations

Hit Papers

The Role of Natural Product Chemistry in Drug Discovery 2004 2026 2011 2018 2004 2008 2018 2014 2022 250 500 750 1000

Peers

Mark S. Butler
Comparison fields: 5 of 163
  • Molecular Biology 3.8k
  • Pharmacology 2.3k
  • Organic Chemistry 2.1k
  • Molecular Medicine 1.1k
  • Biotechnology 1.0k
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Citations per field, relative to Mark S. Butler
Mark S. Butler · 1×
Citations per year, relative to Mark S. Butler
Mark S. Butler · 1×

Countries citing papers authored by Mark S. Butler

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Butler. 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 Mark S. Butler. The network helps show where Mark S. Butler may publish in the future.

Co-authorship network of co-authors of Mark S. Butler

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Butler. A scholar is included among the top collaborators of Mark S. Butler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark S. Butler. Mark S. Butler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 0
3 0
4 0
5
Antibiotics in the clinical pipeline as of December 2022 breakdown →
129
6 28
7
Analysis of the clinical pipeline of treatments for drug resistant bacterial infections: despite progress, more action is needed. breakdown →
167
8 142
9 1
10 31
11 14
12 12
13 159
14 32
15 16
16 273
17 33
18
Natural products to drugs: natural product-derived compounds in clinical trials breakdown →
801
19 41
20 9

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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