M. G. Finn
- Organic Chemistry top 0.01%
- Click Chemistry and Applications 66
- Molecular Biology top 0.05%
- Chemical Synthesis and Analysis 40
- Advanced biosensing and bioanalysis techniques 25
- Glycosylation and Glycoproteins Research 20
- Biomaterials top 0.1%
- Pharmaceutical Science top 0.1%
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- Monoclonal and Polyclonal Antibodies Research 50
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- Bacteriophages and microbial interactions 61
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- Molecular Junctions and Nanostructures 13
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- Mass Spectrometry Techniques and Applications 13
- Co-authors
- K. Barry SharplessHartmuth C. KolbValery V. FokinVu HongQian WangStanislav I. PresolskiCraig S. McKayValentin O. Rodionov
- Journals
- Science (1 paper)Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
M. G. Finn
264 papers receiving 46.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Organic Chemistry 28.4k
- Molecular Biology 22.1k
- Biomaterials 3.7k
- Pharmaceutical Science 1.5k
- Radiology, Nuclear Medicine and Imaging 5.2k
Countries citing papers authored by M. G. Finn
This map shows the geographic impact of M. G. Finn'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 M. G. Finn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. G. Finn more than expected).
Fields of papers citing papers by M. G. Finn
This network shows the impact of papers produced by M. G. Finn. 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 M. G. Finn. The network helps show where M. G. Finn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. G. Finn, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 52 | |
| 11 | 2021 | 159 | |
| 12 | 2020 | 121 | |
| 13 | 2019 | 67 | |
| 14 | 2017 | 16 | |
| 15 | 2013 | 3 | |
| 16 | 2013 | 10 | |
| 17 | Direct Human Cartilage Repair Using Three-Dimensional Bioprinting Technologybreakdown → | 2012 | 486 |
| 18 | Structural transitions in condensed colloidal virus phases | 2010 | 0 |
| 19 | 2006 | 148 | |
| 20 | 2005 | 216 |
About M. G. Finn
M. G. Finn is a scholar working on Organic Chemistry, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 274 papers that have together received 46.6k indexed citations. Recurring topics across this work include Click Chemistry and Applications (66 papers), Bacteriophages and microbial interactions (61 papers), Monoclonal and Polyclonal Antibodies Research (50 papers), Chemical Synthesis and Analysis (40 papers), Advanced biosensing and bioanalysis techniques (25 papers), Glycosylation and Glycoproteins Research (20 papers), Molecular Junctions and Nanostructures (13 papers) and Mass Spectrometry Techniques and Applications (13 papers). The work is most often cited by research in Organic Chemistry (28.4k citations), Molecular Biology (22.1k citations) and Biomaterials (3.7k citations). M. G. Finn has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include K. Barry Sharpless, Hartmuth C. Kolb, Valery V. Fokin, Vu Hong, Qian Wang, Stanislav I. Presolski, Craig S. McKay, Valentin O. Rodionov, John Muldoon and Jiajia Dong. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.