Daniel J. Simpson
Impact in
- Immunology top 2%
- interferon and immune responses
- Aging top 5%
Papers in
-
- Photosynthetic Processes and Mechanisms 8
- Porphyrin Metabolism and Disorders 6
- Epigenetics and DNA Methylation 5
-
- Porphyrin and Phthalocyanine Chemistry 10
- Co-authors
- Tamir Chandra (9 shared papers)Kevin M. Smith (12 shared papers)Neil V. Blough (4 shared papers)Nelly Olova (4 shared papers)Dane A. Goff (2 shared papers)Daniel J. Repeta (2 shared papers)Carol-Anne Martin (1 shared paper)Karen J. Mackenzie (1 shared paper)
- Journals
- Journal of the American Chemical Society (9 papers)Aging Cell (3 papers)Nature (2 papers)Nature Communications (1 paper)Clinical Epigenetics (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Daniel J. Simpson
37 papers receiving 3.1k citations
Daniel J. Simpson's Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 847
- Aging 68
- Biophysics 183
- Molecular Biology 1.5k
- Physical and Theoretical Chemistry 131
Countries citing papers authored by Daniel J. Simpson
This map shows the geographic impact of Daniel J. Simpson'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 J. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Simpson more than expected).
Fields of papers citing papers by Daniel J. Simpson
This network shows the impact of papers produced by Daniel J. Simpson. 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 J. Simpson. The network helps show where Daniel J. Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Simpson, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | cGAS surveillance of micronuclei links genome instability to innate immunity Hit paper breakdown → | 2017 | 1238 |
| 2 | 1985 | 258 | |
| 3 | 1990 | 219 | |
| 4 | 1989 | 171 | |
| 5 | 1988 | 164 | |
| 6 | 2006 | 151 | |
| 7 | 2020 | 134 | |
| 8 | 2018 | 128 | |
| 9 | 2021 | 113 | |
| 10 | 2021 | 73 | |
| 11 | 1991 | 63 | |
| 12 | 1991 | 62 | |
| 13 | 1990 | 45 | |
| 14 | 1991 | 42 | |
| 15 | 1989 | 37 | |
| 16 | 2024 | 26 | |
| 17 | 1997 | 24 | |
| 18 | 1987 | 21 | |
| 19 | 1989 | 20 | |
| 20 | 1987 | 20 |
About Daniel J. Simpson
Daniel J. Simpson is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Pharmacology and Biophysics, having authored 39 papers that have together received 3.2k indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (10 papers), Photosynthetic Processes and Mechanisms (8 papers), Porphyrin Metabolism and Disorders (6 papers), Epigenetics and DNA Methylation (5 papers), Electron Spin Resonance Studies (4 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Photochemistry and Electron Transfer Studies (3 papers). The work is most often cited by research in Immunology (847 citations), Aging (68 citations), Biophysics (183 citations), Molecular Biology (1.5k citations) and Physical and Theoretical Chemistry (131 citations). Daniel J. Simpson has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Tamir Chandra, Kevin M. Smith, Neil V. Blough, Nelly Olova, Dane A. Goff, Daniel J. Repeta, Carol-Anne Martin, Karen J. Mackenzie, Martin A.M. Reijns and Paula Carroll. Their work appears in journals such as Journal of the American Chemical Society, Aging Cell, Nature, Nature Communications and Clinical Epigenetics.
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.