John B. MacMillan

98 papers receiving 4.6k citations

John B. MacMillan's Hit Papers

RNA Polymerase III Detects Cytosolic DNA and Induces Type I Interferons through the RIG-I Pathway 2009 · 986 citations
9860+5+11Years since publication250500750

Peers

John B. MacMillan
Comparison fields: 5 of 153
  • Biotechnology 810
  • Pharmacology 1.0k
  • Immunology 959
  • Organic Chemistry 1.1k
  • Cancer Research 451
Replace Vicky M. Avery with:
Vicky M. Avery Australia
Zhengchao Tu China
Hans‐Martin Dahse Germany
Masayoshi Arai Japan
鲍锦库 China
Masaaki Ishizuka Japan
Jiyong Hong United States
Alexander W. Schüttelkopf United Kingdom
Maria Chiara Monti Italy
Mark Basil Swindells United Kingdom
John B. MacMillan relative to Vicky M. Avery Australia Vicky M. Avery's profile →
Citations per field
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Vicky M. Avery · 1×
Citations per year

Countries citing papers authored by John B. MacMillan

Since Specialization
Citations

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

Fields of papers citing papers by John B. MacMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John B. MacMillan. 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 John B. MacMillan. The network helps show where John B. MacMillan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RNA Polymerase III Detects Cytosolic DNA and Induces Type I Interferons through the RIG-I Pathway
Hit paper breakdown →
2009986
2 2008195
3 2013168
4 2014134
5 2017128
6 2013123
7 2008116
8 2018113
9 2020103
10 2018102
11 200299
12 201586
13 200978
14 201978
15 201275
16 201572
17 201368
18 201667
19 200266
20 201666

About John B. MacMillan

John B. MacMillan is a scholar working on Pharmacology, Biotechnology, Organic Chemistry, Molecular Biology and Cancer Research, having authored 99 papers that have together received 4.8k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (48 papers), Marine Sponges and Natural Products (29 papers), Synthetic Organic Chemistry Methods (24 papers), Carbohydrate Chemistry and Synthesis (10 papers), Chemical Synthesis and Analysis (10 papers), Synthesis and Biological Activity (8 papers), Analytical Chemistry and Chromatography (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Biotechnology (810 citations), Pharmacology (1.0k citations), Immunology (959 citations), Organic Chemistry (1.1k citations) and Cancer Research (451 citations). John B. MacMillan has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Yu‐Hsin Chiu, Zhijian J. Chen, Tadeusz F. Molinski, Youcai Hu, Peng Fei Fu, William Fenical, Paul R. Jensen, Susana P. Gaudêncio, Chambers C. Hughes and Nathaniel W. Oswald. Their work appears in journals such as Organic Letters, Journal of Natural Products, Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Organic Chemistry.

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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