Hai Chi

519 citations
29 papers · 370 · h-index 11

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 7
    • Advanced biosensing and bioanalysis techniques 3
    • Polyamine Metabolism and Applications 2
    • Gut microbiota and health 2
    • Meat and Animal Product Quality 7

Hai Chi

26 papers receiving 367 citations

Peers

Hai Chi
Comparison fields: 5 of 80
  • Microbiology 44
  • Food Science 130
  • Endocrinology 20
  • Molecular Medicine 17
  • Electrochemistry 18
Replace Zhaohui Qiao with:
Zhaohui Qiao China
G. Suhren Germany
Wenyuan Zhou China
Jingdong Shao China
Manpreet Kaur India
Keyu Xing China
Maksim A. Burkin Russia
Saulo Santesso Garrido Brazil
Astrid Foubert Belgium
Inna A. Galvidis Russia
Hai Chi relative to Zhaohui Qiao China Zhaohui Qiao's profile →
Citations per field
00.5×2.8×
Zhaohui Qiao · 1×
Citations per year

Countries citing papers authored by Hai Chi

Since Specialization
Citations

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

Fields of papers citing papers by Hai Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201674
3 202129
4 202222
5 202321
6 202318
7 202415
8 202315
9 202314
10 202414
11 202414
12 20249
13 20247
14 20246
15 20225
16 20215
17 20244
18 20244
19 20253
20 20252

About Hai Chi

Hai Chi is a scholar working on Molecular Biology, Animal Science and Zoology, Food Science, Aquatic Science and Immunology, having authored 29 papers that have together received 370 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (7 papers), Meat and Animal Product Quality (7 papers), Aquaculture Nutrition and Growth (6 papers), Probiotics and Fermented Foods (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Polyamine Metabolism and Applications (2 papers), Gut microbiota and health (2 papers) and Carbon and Quantum Dots Applications (2 papers). The work is most often cited by research in Microbiology (44 citations), Food Science (130 citations), Endocrinology (20 citations), Molecular Medicine (17 citations) and Electrochemistry (18 citations). Hai Chi has collaborated with scholars based in China, Norway and Australia. Frequent co-authors include Helge Holo, Ingolf F. Nes, Ling Ni, Dzung B. Diep, Kirill V. Ovchinnikov, Na Lin, Guoqin Liu, Lei Wang, Shuo Wang and Wei Tian. Their work appears in journals such as Foods, Food Chemistry, Current Microbiology, Food Research International and Applied Sciences.

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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