Wei Long Soon

525 citations
10 papers · 364 indexed · 2 hit papers · h-index 7
Topics
Microplastics and Plastic Pollution (3 papers)Proteins in Food Systems (3 papers)Food composition and properties (2 papers)

In The Last Decade

Wei Long Soon

9 papers receiving 360 citations

Hit Papers

Turning Food Protein Waste into Sustainable Technologies2022202620232024202220234080120

Peers

Wei Long Soon
Comparison fields: 5 of 76
  • Food Science 157
  • Biomaterials 95
  • Molecular Biology 89
  • Nutrition and Dietetics 61
  • Materials Chemistry 41
Replace Luciana Fontes Coelho with:
Luciana Fontes Coelho Brazil
Gabriela Azevedo Portugal
Srinivasan Krishnamoorthy India
Lijun Tan China
Uju Uju Indonesia
Narendra Naik Deshavath India
Xinchen Ye Sweden
Rubina Nelofer Pakistan
Khurshid Ahmad China
Д. Г. Чухчин Russia
Wei Long Soon relative to Luciana Fontes Coelho Brazil Luciana Fontes Coelho's profile →
Citations per field
00.5×4.1×
Luciana Fontes Coelho · 1×
Citations per year

Countries citing papers authored by Wei Long Soon

Since Specialization
Citations

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

Fields of papers citing papers by Wei Long Soon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Long Soon. 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 Wei Long Soon. The network helps show where Wei Long Soon may publish in the future.

Co-authorship network of co-authors of Wei Long Soon

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Long Soon. A scholar is included among the top collaborators of Wei Long Soon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Long Soon. Wei Long Soon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4
Food amyloid fibrils are safe nutrition ingredients based on in-vitro and in-vivo assessmentbreakdown →
89
5 10
6 36
7 48
8 17
9
Turning Food Protein Waste into Sustainable Technologiesbreakdown →
140
10 19

About Wei Long Soon

Wei Long Soon is a scholar working on Pollution, Biomaterials and Food Science, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (3 papers), Proteins in Food Systems (3 papers) and Food composition and properties (2 papers). The work is most often cited by research in Food Science (157 citations), Biomaterials (95 citations) and Nutrition and Dietetics (61 citations). Wei Long Soon has collaborated with scholars based in Singapore, Switzerland and China. Frequent co-authors include Raffaele Mezzenga, Mohammad Peydayesh, Massimo Bagnani, Ali Miserez, Milad Radiom, Collin Y. Ewald, Bing Li, Dan Xu, Shana J. Sturla and Jiangtao Zhou. Their work appears in journals such as Chemical Reviews, Nature Communications and Chemical Engineering Journal.

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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