Daniel T. Payne
Impact in
-
- Porphyrin and Phthalocyanine Chemistry
- Luminescence and Fluorescent Materials
- Machine Learning in Materials Science
-
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Molecular Sensors and Ion Detection 6
- Molecular spectroscopy and chirality 4
- Analytical Chemistry and Chromatography 3
- Co-authors
- Mandeep K. ChahalJonathan P. HillJan LabutaJan HynekKatsuhiko ArigaJohn FosseyFrancis D’SouzaYoshitaka Matsushita
- Journals
- Chemical Communications (2 papers)Physical Chemistry Chemical Physics (2 papers)Chemical Science (2 papers)Chemistry - A European Journal (2 papers)Organic Chemistry Frontiers (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daniel T. Payne
29 papers receiving 390 citations
Peers
Comparison fields: 5 of 69
- Materials Chemistry 232
- Inorganic Chemistry 63
- Organic Chemistry 113
- Renewable Energy, Sustainability and the Environment 58
- Spectroscopy 55
Countries citing papers authored by Daniel T. Payne
This map shows the geographic impact of Daniel T. Payne'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 Daniel T. Payne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Payne more than expected).
Fields of papers citing papers by Daniel T. Payne
This network shows the impact of papers produced by Daniel T. Payne. 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 Daniel T. Payne. The network helps show where Daniel T. Payne may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Payne, 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 | 2025 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 37 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 76 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 14 | |
| 18 | 2017 | 6 | |
| 19 | 2016 | 16 | |
| 20 | 2015 | 26 |
About Daniel T. Payne
Daniel T. Payne is a scholar working on Spectroscopy, Bioengineering, Materials Chemistry, Inorganic Chemistry and Organic Chemistry, having authored 29 papers that have together received 391 indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (14 papers), Molecular Sensors and Ion Detection (6 papers), Luminescence and Fluorescent Materials (5 papers), Photodynamic Therapy Research Studies (4 papers), Molecular spectroscopy and chirality (4 papers), Analytical Chemistry and Chromatography (3 papers), Covalent Organic Framework Applications (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). The work is most often cited by research in Materials Chemistry (232 citations), Inorganic Chemistry (63 citations), Organic Chemistry (113 citations), Renewable Energy, Sustainability and the Environment (58 citations) and Spectroscopy (55 citations). Daniel T. Payne has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mandeep K. Chahal, Jonathan P. Hill, Jan Labuta, Jan Hynek, Katsuhiko Ariga, John Fossey, Francis D’Souza, Yoshitaka Matsushita, Shinsuke Ishihara and Masato Sumita. Their work appears in journals such as Chemical Communications, Physical Chemistry Chemical Physics, Chemical Science, Chemistry - A European Journal and Organic Chemistry Frontiers.
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.