Ting He

648 citations
15 papers · 515 · h-index 10

Impact in

    • Food composition and properties
    • Microbial Metabolites in Food Biotechnology
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Ting He

15 papers receiving 510 citations

Peers

Ting He
Comparison fields: 5 of 75
  • Nutrition and Dietetics 191
  • Biomaterials 172
  • Biochemistry 51
  • Food Science 143
  • Rehabilitation 46
Replace Alireza Chackoshian Khorasani with:
Alireza Chackoshian Khorasani Iran
Niels Müller Chile
Walther Ide Chile
Thayse Marques Passos Ireland
Fatemeh Ghiasi Iran
Trần Thị Yến Nhi Vietnam
M. A. Monsoor United States
Fernando C. S. de Oliveira Ireland
Lalduhsanga Pachuau India
Wanwen Chen China
Ting He relative to Alireza Chackoshian Khorasani Iran Alireza Chackoshian Khorasani's profile →
Citations per field
00.5×2.8×
Alireza Chackoshian Khorasani · 1×
Citations per year

Countries citing papers authored by Ting He

Since Specialization
Citations

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

Fields of papers citing papers by Ting He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202089
2 201585
3 201672
4 201959
5 201452
6 202342
7 202435
8 201722
9 202319
10 202116
11 20247
12 20237
13 20147
14 20252
15 20241

About Ting He

Ting He is a scholar working on Biomaterials, Nutrition and Dietetics, Molecular Biology, Biomedical Engineering and Rehabilitation, having authored 15 papers that have together received 515 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Food composition and properties (4 papers), Phytochemicals and Antioxidant Activities (2 papers), Membrane Separation Technologies (2 papers), Wound Healing and Treatments (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Proteins in Food Systems (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Nutrition and Dietetics (191 citations), Biomaterials (172 citations), Biochemistry (51 citations), Food Science (143 citations) and Rehabilitation (46 citations). Ting He has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Zhuoyan Hu, Lei Zhao, Wuyi Zhou, Kai Wang, Yan Chen, Frank Ko, Hongwu Zhang, Xianming Dong, Addie Bahi and Xuwei Liu. Their work appears in journals such as International Journal of Biological Macromolecules, RSC Advances, Ecotoxicology and Environmental Safety, Environmental Pollution 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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