Toby G. Johnson

29 total papers · 445 total citations
14 papers, 323 citations indexed

About

Toby G. Johnson is a scholar working on Spectroscopy, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Toby G. Johnson has authored 14 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Spectroscopy, 8 papers in Molecular Biology and 6 papers in Organic Chemistry. Recurrent topics in Toby G. Johnson's work include Molecular Sensors and Ion Detection (11 papers), Supramolecular Chemistry and Complexes (6 papers) and Photoreceptor and optogenetics research (6 papers). Toby G. Johnson is often cited by papers focused on Molecular Sensors and Ion Detection (11 papers), Supramolecular Chemistry and Complexes (6 papers) and Photoreceptor and optogenetics research (6 papers). Toby G. Johnson collaborates with scholars based in United Kingdom and United States. Toby G. Johnson's co-authors include Matthew J. Langton, Andrew Docker, Heike Kuhn, Zongyao Zhang, Fernanda Duarte, Hui Min Tay, Manzoor Ahmad, Paul D. Beer, Aisha N. Bismillah and Juan A. Aguilar and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Toby G. Johnson

13 papers receiving 322 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Toby G. Johnson 189 154 116 111 100 14 323
J.-F. Nicoud 149 0.8× 113 0.7× 180 1.6× 47 0.4× 54 0.5× 11 340
Takahide Minami 101 0.5× 225 1.5× 137 1.2× 48 0.4× 79 0.8× 10 328
Jesus Mallen 180 1.0× 76 0.5× 153 1.3× 150 1.4× 30 0.3× 11 337
Daniel A. McNaughton 266 1.4× 149 1.0× 113 1.0× 93 0.8× 25 0.3× 17 356
G. R. Olin 137 0.7× 115 0.7× 136 1.2× 74 0.7× 16 0.2× 14 336
Jolanta Polkowska 109 0.6× 77 0.5× 135 1.2× 129 1.2× 17 0.2× 22 340
Falguni Chandra 121 0.6× 190 1.2× 126 1.1× 79 0.7× 28 0.3× 24 352
Maarten W. van der Meijden 97 0.5× 176 1.1× 129 1.1× 73 0.7× 27 0.3× 11 343
Hossein Shabany 159 0.8× 37 0.2× 107 0.9× 231 2.1× 38 0.4× 14 342
Suchismita Saha 105 0.6× 123 0.8× 285 2.5× 54 0.5× 60 0.6× 19 364

Countries citing papers authored by Toby G. Johnson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Toby G. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Toby G. Johnson. A scholar is included among the top collaborators of Toby G. 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 Toby G. Johnson. Toby G. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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