Toby G. Johnson
Impact in
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
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- Photoreceptor and optogenetics research
Papers in
- Spectroscopy 12
- Molecular Sensors and Ion Detection 12
-
- Lipid Membrane Structure and Behavior 5
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Matthew J. Langton (13 shared papers)Andrew Docker (5 shared papers)Heike Kuhn (1 shared paper)Zongyao Zhang (1 shared paper)Manzoor Ahmad (2 shared papers)Fernanda Duarte (2 shared papers)Hui Min Tay (2 shared papers)Paul D. Beer (2 shared papers)
- Journals
- Journal of the American Chemical Society (5 papers)Angewandte Chemie International Edition (3 papers)Chemical Science (2 papers)Chemical Communications (1 paper)Nature Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Toby G. Johnson
15 papers receiving 386 citations
Peers
Comparison fields: 5 of 51
- Spectroscopy 212
- Cellular and Molecular Neuroscience 107
- Organic Chemistry 135
- Physical and Theoretical Chemistry 36
- Materials Chemistry 168
Countries citing papers authored by Toby G. Johnson
This map shows the geographic impact of Toby G. 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 Toby G. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby G. Johnson more than expected).
Fields of papers citing papers by Toby G. Johnson
This network shows the impact of papers produced by Toby G. 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 Toby G. Johnson. The network helps show where Toby G. Johnson may publish in the future.
Co-authors
The 23 scholars most cited alongside Toby G. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2021 | 74 | |
| 3 | 2023 | 63 | |
| 4 | 2023 | 51 | |
| 5 | 2024 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2026 | 0 |
About Toby G. Johnson
Toby G. Johnson is a scholar working on Spectroscopy, Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (12 papers), Supramolecular Chemistry and Complexes (7 papers), Photoreceptor and optogenetics research (6 papers), Lipid Membrane Structure and Behavior (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Luminescence and Fluorescent Materials (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Coordination Chemistry and Organometallics (1 paper). The work is most often cited by research in Spectroscopy (212 citations), Cellular and Molecular Neuroscience (107 citations), Organic Chemistry (135 citations), Physical and Theoretical Chemistry (36 citations) and Materials Chemistry (168 citations). Toby G. Johnson has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Matthew J. Langton, Andrew Docker, Heike Kuhn, Zongyao Zhang, Manzoor Ahmad, Fernanda Duarte, Hui Min Tay, Paul D. Beer, Andrew T. Turley and Paul R. McGonigal. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition, Chemical Science, Chemical Communications and Nature 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.