Michael D. Best
Impact in
- Organic Chemistry top 1%
- Click Chemistry and Applications
- Carbohydrate Chemistry and Synthesis
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
- Chemical Synthesis and Analysis
- RNA Interference and Gene Delivery
Papers in
-
- Click Chemistry and Applications 15
- Carbohydrate Chemistry and Synthesis 11
- Biomaterials 14
- Nanoparticle-Based Drug Delivery 9
- Co-authors
- Chi‐Huey WongSarah R. HansonEric V. AnslynEli ChapmanSuzanne L. TobeyJinchao LouCheng‐Yuan HuangJon P. Camden
- Journals
- Chemistry - A European Journal (11 papers)Bioconjugate Chemistry (7 papers)ChemBioChem (6 papers)Chemical Communications (5 papers)Chemistry and Physics of Lipids (5 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Michael D. Best
96 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Organic Chemistry 1.5k
- Molecular Biology 2.4k
- Spectroscopy 524
- Virology 138
- Bioengineering 128
Countries citing papers authored by Michael D. Best
This map shows the geographic impact of Michael D. Best'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 Michael D. Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Best more than expected).
Fields of papers citing papers by Michael D. Best
This network shows the impact of papers produced by Michael D. Best. 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 Michael D. Best. The network helps show where Michael D. Best may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael D. Best, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 23 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 3 | |
| 19 | 2018 | 6 | |
| 20 | 2009 | 22 |
About Michael D. Best
Michael D. Best is a scholar working on Organic Chemistry, Biomaterials, Molecular Biology, Cell Biology and Bioengineering, having authored 100 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (27 papers), RNA Interference and Gene Delivery (23 papers), Lipid Membrane Structure and Behavior (21 papers), Click Chemistry and Applications (15 papers), Carbohydrate Chemistry and Synthesis (11 papers), Cellular transport and secretion (10 papers), Nanoparticle-Based Drug Delivery (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Organic Chemistry (1.5k citations), Molecular Biology (2.4k citations), Spectroscopy (524 citations), Virology (138 citations) and Bioengineering (128 citations). Michael D. Best has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Chi‐Huey Wong, Sarah R. Hanson, Eric V. Anslyn, Eli Chapman, Suzanne L. Tobey, Jinchao Lou, Cheng‐Yuan Huang, Jon P. Camden, Meng M. Rowland and Wenqi Zhu. Their work appears in journals such as Chemistry - A European Journal, Bioconjugate Chemistry, ChemBioChem, Chemical Communications and Chemistry and Physics of Lipids.
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.