Weichun Pan

2.4k citations
77 papers · 2.0k · h-index 23

Impact in

    • Proteins in Food Systems
    • Polysaccharides Composition and Applications
    • Advanced Cellulose Research Studies

Papers in

Weichun Pan

74 papers receiving 2.0k citations

Peers

Weichun Pan
Comparison fields: 5 of 125
  • Food Science 561
  • Biomaterials 375
  • Atmospheric Science 278
  • Materials Chemistry 719
  • Animal Science and Zoology 106
Replace Abel Moreno with:
Abel Moreno Mexico
Evgenyi Shalaev United States
Toshio Nagashima Japan
Niklas Lorén Sweden
Giuseppe Vecchio Italy
Boris A. Noskov Russia
Marı́a José Gálvez-Ruiz Spain
Duncan J. McGillivray New Zealand
Jean-Christophe Gimel France
Krzysztof Czamara Poland
Weichun Pan relative to Abel Moreno Mexico Abel Moreno's profile →
Citations per field
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Abel Moreno · 1×
Citations per year

Countries citing papers authored by Weichun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Weichun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weichun Pan, 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 Weichun Pan Line = papers co-authored together Weichun Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005136
2 2005120
3 2017119
4 2006108
5 2007104
6 200999
7 201097
8 200796
9 201895
10 202292
11 200653
12 202448
13 202147
14 201644
15 201043
16 201839
17 201639
18 202037
19 202329
20 201628

About Weichun Pan

Weichun Pan is a scholar working on Food Science, Animal Science and Zoology, Materials Chemistry, Cell Biology and Genetics, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Proteins in Food Systems (27 papers), Polysaccharides Composition and Applications (10 papers), Meat and Animal Product Quality (10 papers), Hemoglobinopathies and Related Disorders (7 papers), Hemoglobin structure and function (6 papers), nanoparticles nucleation surface interactions (6 papers), Enzyme Structure and Function (6 papers) and Pickering emulsions and particle stabilization (6 papers). The work is most often cited by research in Food Science (561 citations), Biomaterials (375 citations), Atmospheric Science (278 citations), Materials Chemistry (719 citations) and Animal Science and Zoology (106 citations). Weichun Pan has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Peter Vekilov, Fuge Niu, Oleg N. Galkin, Luis F. Filobelo, Anatoly B. Kolomeisky, Ronald L. Nagel, Vassiliy Lubchenko, Olga Gliko, Sevil Weinkauf and Christos Ritzoulis. Their work appears in journals such as Food Chemistry, Food Hydrocolloids, International Journal of Biological Macromolecules, Biophysical Journal and Carbohydrate Polymers.

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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