Jun Huang

3.7k citations
109 papers · 3.0k · h-index 33

Impact in

  • Food Science top 0.5%
    • Fermentation and Sensory Analysis
    • Probiotics and Fermented Foods
    • Food Quality and Safety Studies
    • Microbial Metabolism and Applications
    • Biochemical and biochemical processes

Papers in

    • Fermentation and Sensory Analysis 48
    • Probiotics and Fermented Foods 20
    • Food Quality and Safety Studies 13
    • Gut microbiota and health 11
    • DNA Repair Mechanisms 10
    • Microbial Metabolic Engineering and Bioproduction 7

Jun Huang

100 papers receiving 2.9k citations

Peers

Jun Huang
Comparison fields: 5 of 118
  • Food Science 1.5k
  • Biotechnology 516
  • Cell Biology 392
  • Pathology and Forensic Medicine 390
  • Biochemistry 112
Replace Xin Song with:
Xin Song China
Jiang Jiang China
In‐Soo Kong South Korea
Roberto Pérez‐Torrado Spain
Zunying Liu China
Kazuhiro Iwashita Japan
Qun Wu China
Hiroshi Kitagaki Japan
Neil J. Shirley Australia
Xiqun Zheng China
Jun Huang relative to Xin Song China Xin Song's profile →
Citations per field
00.5×4.8×
Xin Song · 1×
Citations per year

Countries citing papers authored by Jun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010231
2 2012165
3 2019142
4 2019140
5 2019117
6 201798
7 202379
8 201777
9 201976
10 200868
11 201362
12 201562
13 202157
14 201656
15 201550
16 201550
17 202248
18 201846
19 202142
20 202342

About Jun Huang

Jun Huang is a scholar working on Food Science, Molecular Biology, Biotechnology, Oncology and Plant Science, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (48 papers), Probiotics and Fermented Foods (20 papers), Food Quality and Safety Studies (13 papers), Gut microbiota and health (11 papers), DNA Repair Mechanisms (10 papers), Microbial Metabolism and Applications (9 papers), Biochemical and biochemical processes (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Food Science (1.5k citations), Biotechnology (516 citations), Cell Biology (392 citations), Pathology and Forensic Medicine (390 citations) and Biochemistry (112 citations). Jun Huang has collaborated with scholars based in China, United States and India. Frequent co-authors include Chongde Wu, Rongqing Zhou, Yao Jin, Rongqing Zhou, Guiqiang He, Junjie Chen, Wenqi Wang, Xiaofei Ding, Suyi Zhang and Liqiang Zhang. Their work appears in journals such as Food Bioscience, Food Research International, Nucleic Acids Research, Frontiers in Microbiology and Food Microbiology.

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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