Edward C. Sherer
- Organic Chemistry top 2%
- Spectroscopy top 2%
- Molecular spectroscopy and chirality 18
- Analytical Chemistry and Chromatography 17
- Inorganic Chemistry top 5%
- Pharmaceutical Science top 2%
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- Computational Drug Discovery Methods 21
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- Chemical Synthesis and Analysis 13
- DNA and Nucleic Acid Chemistry 12
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 7
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- Machine Learning in Materials Science 7
- Co-authors
- Christopher J. CramerYu‐hong LamDaniel A. DiRoccoChristopher J. WelchLeo A. JoyceCharles A. LaughtonModesto OrozcoDanielle M. Schultz
- Journals
- Science (1 paper)Journal of the American Chemical Society (4 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Edward C. Sherer
87 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Organic Chemistry 973
- Spectroscopy 488
- Inorganic Chemistry 339
- Pharmaceutical Science 146
- Computational Theory and Mathematics 365
Countries citing papers authored by Edward C. Sherer
This map shows the geographic impact of Edward C. Sherer'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 Edward C. Sherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward C. Sherer more than expected).
Fields of papers citing papers by Edward C. Sherer
This network shows the impact of papers produced by Edward C. Sherer. 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 Edward C. Sherer. The network helps show where Edward C. Sherer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward C. Sherer, 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 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 92 | |
| 11 | 2020 | 12 | |
| 12 | The merger of decatungstate and copper catalysis to enable aliphatic C(sp3)–H trifluoromethylationbreakdown → | 2020 | 274 |
| 13 | 2019 | 36 | |
| 14 | 2018 | 121 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 28 | |
| 17 | 2017 | 137 | |
| 18 | 2016 | 13 | |
| 19 | 2015 | 2 | |
| 20 | 2004 | 4 |
About Edward C. Sherer
Edward C. Sherer is a scholar working on Spectroscopy, Computational Theory and Mathematics and Organic Chemistry, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Molecular spectroscopy and chirality (18 papers), Analytical Chemistry and Chromatography (17 papers), Chemical Synthesis and Analysis (13 papers), DNA and Nucleic Acid Chemistry (12 papers), Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Organic Chemistry (973 citations), Spectroscopy (488 citations) and Inorganic Chemistry (339 citations). Edward C. Sherer has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Christopher J. Cramer, Yu‐hong Lam, Daniel A. DiRocco, Christopher J. Welch, Leo A. Joyce, Charles A. Laughton, Modesto Orozco, Danielle M. Schultz, Louis‐Charles Campeau and Patrick Sarver. Their work appears in journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.