Matthew M. Hayward
- Organic Chemistry top 5%
- Chemical synthesis and alkaloids 5
- Click Chemistry and Applications 3
- Biotechnology top 5%
- Marine Sponges and Natural Products 4
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 4
- Chemical Synthesis and Analysis 2
- Pharmacology top 5%
- Phytochemistry and Bioactivity Studies 5
- Oncology top 10%
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- Chronic Lymphocytic Leukemia Research 2
- Estrogen and related hormone effects 2
- Co-authors
- Benjamin F. CravattMelissa M. DixKirk L. StevensJiasheng GuoYoshito KishiPeter I. DalkoKevin J. DuffyRadu M. Suciu
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Angewandte Chemie International Edition (3 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Matthew M. Hayward
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Organic Chemistry 612
- Biotechnology 159
- Molecular Biology 909
- Pharmacology 81
- Oncology 235
Countries citing papers authored by Matthew M. Hayward
This map shows the geographic impact of Matthew M. Hayward'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 Matthew M. Hayward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Hayward more than expected).
Fields of papers citing papers by Matthew M. Hayward
This network shows the impact of papers produced by Matthew M. Hayward. 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 Matthew M. Hayward. The network helps show where Matthew M. Hayward may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew M. Hayward, 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 | 2024 | 7 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2021 | 156 | |
| 5 | 2020 | 83 | |
| 6 | 2017 | 195 | |
| 7 | 2017 | 77 | |
| 8 | 2017 | 27 | |
| 9 | 2015 | 29 | |
| 10 | 2014 | 140 | |
| 11 | 2014 | 265 | |
| 12 | 2012 | 12 | |
| 13 | 2005 | 12 | |
| 14 | 1998 | 105 | |
| 15 | 1998 | 17 | |
| 16 | 1998 | 21 | |
| 17 | 1998 | 1 | |
| 18 | 1997 | 54 | |
| 19 | 1995 | 10 | |
| 20 | 1985 | 4 |
About Matthew M. Hayward
Matthew M. Hayward is a scholar working on Pharmacology, Biotechnology and Organic Chemistry, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phytochemistry and Bioactivity Studies (5 papers), Chemical synthesis and alkaloids (5 papers), Protein Degradation and Inhibitors (4 papers), Marine Sponges and Natural Products (4 papers), Click Chemistry and Applications (3 papers), Chemical Synthesis and Analysis (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Organic Chemistry (612 citations), Biotechnology (159 citations) and Molecular Biology (909 citations). Matthew M. Hayward has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Benjamin F. Cravatt, Melissa M. Dix, Kirk L. Stevens, Jiasheng Guo, Yoshito Kishi, Peter I. Dalko, Kevin J. Duffy, Radu M. Suciu, A. Gilbert and Taka-Aki Ichu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.