A. Peter Johnson
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Click Chemistry and Applications
Papers in ⓘ
-
- Computational Drug Discovery Methods 13
- Co-authors
- Anikó Simon (6 shared papers)Zsolt Zsoldos (6 shared papers)Valerie J. Gillet (5 shared papers)Paulina Mata (5 shared papers)Glenn J. Myatt (3 shared papers)James Law (2 shared papers)William H. Newell (1 shared paper)C. Marshall (3 shared papers)
- Journals
- Tetrahedron (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Journal of Chemical Information and Modeling (2 papers)Tetrahedron Letters (1 paper)
- Partner nations
- United KingdomPortugalUnited States
In The Last Decade
A. Peter Johnson
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 775
- Organic Chemistry 311
- Molecular Biology 715
- Spectroscopy 138
- Physical and Theoretical Chemistry 74
Countries citing papers authored by A. Peter Johnson
This map shows the geographic impact of A. Peter Johnson'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 A. Peter Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Peter Johnson more than expected).
Fields of papers citing papers by A. Peter Johnson
This network shows the impact of papers produced by A. Peter Johnson. 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 A. Peter Johnson. The network helps show where A. Peter Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Peter Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 172 | |
| 2 | 2009 | 144 | |
| 3 | 1993 | 136 | |
| 4 | 1994 | 120 | |
| 5 | 1997 | 102 | |
| 6 | 1995 | 92 | |
| 7 | 2011 | 70 | |
| 8 | 2009 | 53 | |
| 9 | 2014 | 51 | |
| 10 | 1994 | 39 | |
| 11 | 2003 | 35 | |
| 12 | 2000 | 35 | |
| 13 | 2006 | 34 | |
| 14 | 1995 | 31 | |
| 15 | 1993 | 30 | |
| 16 | 1990 | 28 | |
| 17 | 1992 | 27 | |
| 18 | 2009 | 24 | |
| 19 | 1992 | 24 | |
| 20 | 1992 | 23 |
About A. Peter Johnson
A. Peter Johnson is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Materials Chemistry and Spectroscopy, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Chemical Synthesis and Analysis (7 papers), Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (4 papers), Analytical Chemistry and Chromatography (3 papers), History and advancements in chemistry (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Surface and Thin Film Phenomena (2 papers). The work is most often cited by research in Computational Theory and Mathematics (775 citations), Organic Chemistry (311 citations), Molecular Biology (715 citations), Spectroscopy (138 citations) and Physical and Theoretical Chemistry (74 citations). A. Peter Johnson has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Anikó Simon, Zsolt Zsoldos, Valerie J. Gillet, Paulina Mata, Glenn J. Myatt, James Law, William H. Newell, C. Marshall, Yang Liu and Sarah Major. Their work appears in journals such as Tetrahedron, Bioorganic & Medicinal Chemistry Letters, Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling and Tetrahedron Letters.
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.