Peter Belton

181 papers receiving 6.9k citations

Peers

Peter Belton
Comparison fields: 5 of 168
  • Pharmaceutical Science 635
  • Food Science 1.8k
  • Nutrition and Dietetics 1.5k
  • Biomaterials 1.0k
  • Biochemistry 316
Replace Ian T. Norton with:
Ian T. Norton United Kingdom
Mingqian Tan China
Edwin R. Morris United Kingdom
Beiwei Zhu China
Fang Zhong China
Yrjö H. Roos Ireland
Hongbin Zhang China
Li Liang China
S. A. Barker United Kingdom
Stephen G. Ring United Kingdom
Peter Belton relative to Ian T. Norton United Kingdom Ian T. Norton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Belton

Since Specialization
Citations

This map shows the geographic impact of Peter Belton'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 Peter Belton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Belton more than expected).

Fields of papers citing papers by Peter Belton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Belton. 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 Peter Belton. The network helps show where Peter Belton may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Belton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Belton Line = papers co-authored together Peter Belton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005424
2 2004255
3 1998241
4 2003229
5 2006225
6 2016215
7 2000198
8 1972196
9 1992191
10 2003145
11 1996144
12 1998139
13 2018121
14 2007118
15 1992115
16 2013114
17 2002113
18 199898
19 200691
20 201586

About Peter Belton

Peter Belton is a scholar working on Food Science, Materials Chemistry, Spectroscopy, Biomedical Engineering and Molecular Biology, having authored 183 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (22 papers), Drug Solubulity and Delivery Systems (21 papers), NMR spectroscopy and applications (21 papers), Proteins in Food Systems (19 papers), Food composition and properties (19 papers), Solid-state spectroscopy and crystallography (14 papers), 3D Printing in Biomedical Research (14 papers) and Additive Manufacturing and 3D Printing Technologies (13 papers). The work is most often cited by research in Pharmaceutical Science (635 citations), Food Science (1.8k citations), Nutrition and Dietetics (1.5k citations), Biomaterials (1.0k citations) and Biochemistry (316 citations). Peter Belton has collaborated with scholars based in United Kingdom, Canada and Iraq. Frequent co-authors include Sheng Qi, Dominique M.R. Georget, Nikolaus Wellner, Reginald H. Wilson, John R.N. Taylor, Huiru Tang, Muqdad Alhijjaj, Kenneth J. Packer, Arthur S. Tatham and S. A. Barker. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Carbohydrate Research, Pharmaceutical Research, International Journal of Pharmaceutics and Magnetic Resonance in 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.

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