Jun Sheng

1.8k citations
31 papers · 1.3k · 2 hit papers · h-index 12

Impact in

Papers in

Jun Sheng

30 papers receiving 1.3k citations

Jun Sheng's Hit Papers

Dual domestications and origin of traits in grapevine evolution 2023 · 183 citations
1830+3+6Years since publication100200300400500

Peers

Jun Sheng
Comparison fields: 5 of 95
  • Tourism, Leisure and Hospitality Management 62
  • Food Science 351
  • Plant Science 568
  • Pathology and Forensic Medicine 231
  • Biochemistry 77
Replace Peige Fan with:
Peige Fan China
Francesca Taranto Italy
Margherita Lucchin Italy
Abdelwahed Ghorbel Tunisia
Claudio D’Onofrio Italy
Pablo F. Cavagnaro Argentina
Masahiko Yamada Japan
Songtao Jiu China
Junxiang Zhang China
Silvia Dal Santo Italy
Jun Sheng relative to Peige Fan China Peige Fan's profile →
Citations per field
00.5×2×4×6.4×
Peige Fan · 1×
Citations per year

Countries citing papers authored by Jun Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Tea Tree Genome Provides Insights into Tea Flavor and Independent Evolution of Caffeine Biosynthesis
Hit paper breakdown →
2017530
2
Dual domestications and origin of traits in grapevine evolution
Hit paper breakdown →
2023183
3 2019168
4 201579
5 201669
6 201846
7 202433
8 202333
9 202124
10 202422
11 202316
12 202116
13 202411
14 20228
15 20208
16 20246
17 20256
18 20246
19 20255
20 20255

About Jun Sheng

Jun Sheng is a scholar working on Food Science, Nutrition and Dietetics, Plant Science, Animal Science and Zoology and Tourism, Leisure and Hospitality Management, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nuts composition and effects (6 papers), Fermentation and Sensory Analysis (6 papers), Genomics and Phylogenetic Studies (4 papers), Food Chemistry and Fat Analysis (4 papers), Proteins in Food Systems (4 papers), Genetic diversity and population structure (4 papers), Horticultural and Viticultural Research (4 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (62 citations), Food Science (351 citations), Plant Science (568 citations), Pathology and Forensic Medicine (231 citations) and Biochemistry (77 citations). Jun Sheng has collaborated with scholars based in China, Germany and Kenya. Frequent co-authors include Yang Tian, Yang Dong, Wei Chen, Guanghui Zhang, Shengchao Yang, Xiufen Li, Yuxuan Zou, Liping Shu, Jing Zhang and Wen Wang. Their work appears in journals such as Molecular Plant, Food Chemistry, Archives of Microbiology, Frontiers in Plant Science and International Journal of Molecular 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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