N.J.F. Dodd
Impact in
- Biophysics top 2%
- Electron Spin Resonance Studies
- Food Science top 5%
- Radiation Effects and Dosimetry
Papers in
- Biophysics 17
- Electron Spin Resonance Studies 16
- Food Science 12
- Radiation Effects and Dosimetry 12
- Co-authors
- Awadhesh N. Jha (6 shared papers)A. J. Swallow (6 shared papers)Simon J. Davies (1 shared paper)Jeremy S. Lea (5 shared papers)F.J. Ley (1 shared paper)Paul John Thornalley (1 shared paper)Miles D. Houslay (5 shared papers)Tulsi Mukherjee (3 shared papers)
- Journals
- British Journal of Cancer (8 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (4 papers)International Journal of Food Science & Technology (3 papers)Biochemical Pharmacology (3 papers)Nature (3 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
N.J.F. Dodd
62 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 148
- Biophysics 170
- Food Science 352
- Health, Toxicology and Mutagenesis 174
- Biotechnology 107
- Pollution 118
Countries citing papers authored by N.J.F. Dodd
This map shows the geographic impact of N.J.F. Dodd'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 N.J.F. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.J.F. Dodd more than expected).
Fields of papers citing papers by N.J.F. Dodd
This network shows the impact of papers produced by N.J.F. Dodd. 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 N.J.F. Dodd. The network helps show where N.J.F. Dodd may publish in the future.
Co-authors
The 25 scholars most cited alongside N.J.F. Dodd, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 397 | |
| 2 | 1985 | 112 | |
| 3 | 1988 | 93 | |
| 4 | 2016 | 88 | |
| 5 | 1996 | 83 | |
| 6 | 1983 | 68 | |
| 7 | 1985 | 60 | |
| 8 | 2022 | 57 | |
| 9 | 1984 | 50 | |
| 10 | 1988 | 48 | |
| 11 | 2011 | 48 | |
| 12 | 1993 | 46 | |
| 13 | 1989 | 45 | |
| 14 | 2008 | 40 | |
| 15 | 1977 | 32 | |
| 16 | 1990 | 32 | |
| 17 | 2018 | 30 | |
| 18 | 1998 | 30 | |
| 19 | 2015 | 27 | |
| 20 | 1987 | 25 |
About N.J.F. Dodd
N.J.F. Dodd is a scholar working on Biophysics, Food Science, Biotechnology, Insect Science and Molecular Biology, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (16 papers), Radiation Effects and Dosimetry (12 papers), Insect and Pesticide Research (6 papers), Photodynamic Therapy Research Studies (5 papers), Meat and Animal Product Quality (4 papers), Microbial Inactivation Methods (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Biophysics (170 citations), Food Science (352 citations), Health, Toxicology and Mutagenesis (174 citations), Biotechnology (107 citations) and Pollution (118 citations). N.J.F. Dodd has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Awadhesh N. Jha, A. J. Swallow, Simon J. Davies, Jeremy S. Lea, F.J. Ley, Paul John Thornalley, Miles D. Houslay, Tulsi Mukherjee, Lindsey A. Needham and David R. Ramsdale. Their work appears in journals such as British Journal of Cancer, Biochimica et Biophysica Acta (BBA) - Biomembranes, International Journal of Food Science & Technology, Biochemical Pharmacology and Nature.
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.