Jun‐Feng Yin

4.8k citations
142 papers · 3.6k · 1 hit paper · h-index 34

Impact in

Papers in

Jun‐Feng Yin

136 papers receiving 3.6k citations

Jun‐Feng Yin's Hit Papers

Bitterness and astringency of tea leaves and products: Formation mechanism and reducing strategies 2022 · 195 citations
1950+1+2Years since publication50100150

Peers

Jun‐Feng Yin
Comparison fields: 5 of 140
  • Biochemistry 1.2k
  • Pathology and Forensic Medicine 2.4k
  • Food Science 1.7k
  • Applied Microbiology and Biotechnology 111
  • Analytical Chemistry 397
Replace Yong‐Quan Xu with:
Yong‐Quan Xu China
Haibo Yuan China
Yongwen Jiang China
Ulrich H. Engelhardt Germany
Weidong Dai China
Youying Tu China
Zhonghua Liu China
Douglas A. Balentine United States
Fumio Nanjo Japan
Guan‐Hu Bao China
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 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018238
2
Bitterness and astringency of tea leaves and products: Formation mechanism and reducing strategies
Hit paper breakdown →
2022195
3 2015147
4 2018120
5 202298
6 202195
7 201491
8 201885
9 201683
10 201881
11 202080
12 201570
13 202268
14 202166
15 201461
16 202160
17 201760
18 202257
19 201856
20 202156

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 142 papers that have together received 3.6k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (108 papers), Phytochemicals and Antioxidant Activities (53 papers), Food Quality and Safety Studies (49 papers), Fermentation and Sensory Analysis (22 papers), Heavy Metals in Plants (13 papers), Circular RNAs in diseases (6 papers), Metabolomics and Mass Spectrometry Studies (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 (2.4k citations), Food Science (1.7k citations), Applied Microbiology and Biotechnology (111 citations) and Analytical Chemistry (397 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 Food Research International.

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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