Jun‐Feng Yin

4.5k citations
139 papers · 3.4k · 2 hit papers · h-index 33

Impact in

Papers in

Jun‐Feng Yin

134 papers receiving 3.3k citations

Jun‐Feng Yin's Hit Papers

Evaluating human-nature relationships at a grid scale in China, 2000–2020 2025 · 15 citations
150+1+2Years since publication50100150

Peers

Jun‐Feng Yin
Comparison fields: 5 of 142
  • Biochemistry 1.2k
  • Pathology and Forensic Medicine 2.3k
  • Food Science 1.7k
  • Applied Microbiology and Biotechnology 107
  • Analytical Chemistry 392
Replace Yong‐Quan Xu with:
Yong‐Quan Xu China
Zhi Lin China
Haibo Yuan China
Yongwen Jiang China
Ulrich H. Engelhardt Germany
Weidong Dai China
Youying Tu China
Douglas A. Balentine United States
Guan‐Hu Bao China
Fumio Nanjo Japan
Jun‐Feng Yin relative to Yong‐Quan Xu China Yong‐Quan Xu's profile →
Citations per field
00.5×1.5×
Yong‐Quan Xu · 1×
Citations per year

Countries citing papers authored by Jun‐Feng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Feng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018222
2
Bitterness and astringency of tea leaves and products: Formation mechanism and reducing strategies
Hit paper breakdown →
2022173
3 2015139
4 2018114
5 202293
6 201491
7 202189
8 201883
9 201682
10 201879
11 202076
12 201568
13 202162
14 202261
15 201760
16 201460
17 202158
18 201855
19 202251
20 202151

About Jun‐Feng Yin

Jun‐Feng Yin is a scholar working on Pathology and Forensic Medicine, Food Science, Biochemistry, Molecular Biology and Analytical Chemistry, having authored 139 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (107 papers), Phytochemicals and Antioxidant Activities (56 papers), Food Quality and Safety Studies (48 papers), Fermentation and Sensory Analysis (23 papers), Heavy Metals in Plants (14 papers), Circular RNAs in diseases (6 papers), Natural product bioactivities and synthesis (5 papers) and Tannin, Tannase and Anticancer Activities (5 papers). The work is most often cited by research in Biochemistry (1.2k citations), Pathology and Forensic Medicine (2.3k citations), Food Science (1.7k citations), Applied Microbiology and Biotechnology (107 citations) and Analytical Chemistry (392 citations). Jun‐Feng Yin has collaborated with scholars based in China, Ireland and Canada. Frequent co-authors include Yong‐Quan Xu, Qizhen Du, Ying Gao, Fang Wang, Yanqing Fu, Chun Zou, Jieqiong Wang, Fang Wang, Jianxin Chen and Gensheng Chen. Their work appears in journals such as Food Chemistry, Foods, LWT, Food Chemistry X and Frontiers in Nutrition.

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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