Christopher N. Johnson
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Oncology
- Materials Chemistry
- Co-authors
- Tom D. HeightmanDavid J. WrightHonorine LebraudDaniel A. ErlansonRachel GraingerWolfgang JahnkeJoseph P. A. HarrityMark W. Davies
- Topics
- Computational Drug Discovery Methods (7 papers)Catalytic Cross-Coupling Reactions (5 papers)Ubiquitin and proteasome pathways (4 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Christopher N. Johnson
40 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 865
- Organic Chemistry 637
- Computational Theory and Mathematics 282
- Oncology 195
- Materials Chemistry 185
Countries citing papers authored by Christopher N. Johnson
This map shows the geographic impact of Christopher N. 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 Christopher N. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher N. Johnson more than expected).
Fields of papers citing papers by Christopher N. Johnson
This network shows the impact of papers produced by Christopher N. 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 Christopher N. Johnson. The network helps show where Christopher N. Johnson may publish in the future.
Co-authorship network of co-authors of Christopher N. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher N. Johnson. A scholar is included among the top collaborators of Christopher N. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher N. Johnson. Christopher N. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | A Brief Introduction to Chemical Reaction Optimizationbreakdown → | 238 |
| 3 | 64 | |
| 4 | 68 | |
| 5 | 53 | |
| 6 | 6 | |
| 7 | 63 | |
| 8 | 57 | |
| 9 | 310 | |
| 10 | 52 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | RADIOLABELLING AND IN VIVO EVALUATION OF [C-11]GSK215083 AS A POTENTIAL 5-HT6 PET RADIOLIGAND IN THE PORCINE BRAIN | 3 |
| 15 | 1 | |
| 16 | 46 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 15 | |
| 20 | 10 |
About Christopher N. Johnson
Christopher N. Johnson is a scholar working on Organic Chemistry, Pharmaceutical Science and Pharmacology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Catalytic Cross-Coupling Reactions (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Organic Chemistry (637 citations), Computational Theory and Mathematics (282 citations) and Molecular Biology (865 citations). Christopher N. Johnson has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Tom D. Heightman, David J. Wright, Honorine Lebraud, Daniel A. Erlanson, Rachel Grainger, Wolfgang Jahnke, Joseph P. A. Harrity, Mark W. Davies, Iwan J. P. de Esch and Paul N. Mortenson. Their work appears in journals such as Chemical Reviews, Chemical Communications and Journal of Medicinal Chemistry.
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.