Ye Cheng

1.6k total citations
12 papers, 235 citations indexed

About

Ye Cheng is a scholar working on Endocrinology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Ye Cheng has authored 12 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, 6 papers in Plant Science and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ye Cheng's work include Plant Virus Research Studies (6 papers), Plant and Fungal Interactions Research (6 papers) and Plant Disease Resistance and Genetics (5 papers). Ye Cheng is often cited by papers focused on Plant Virus Research Studies (6 papers), Plant and Fungal Interactions Research (6 papers) and Plant Disease Resistance and Genetics (5 papers). Ye Cheng collaborates with scholars based in China, United Kingdom and United States. Ye Cheng's co-authors include Jing Zhang, Meixi Li, Li Guo, Wei Cui, Bin Li, M. J. Adams, Jiong Chen, Jianping Chen, Jianping Yang and Harold D. Chapman and has published in prestigious journals such as Diabetes, Journal of Chromatography A and Journal of Food Science.

In The Last Decade

Ye Cheng

12 papers receiving 230 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ye Cheng China 6 109 100 53 40 34 12 235
Huan Cao China 13 307 2.8× 225 2.3× 24 0.5× 26 0.7× 9 0.3× 26 404
Qing Xia China 10 69 0.6× 28 0.3× 41 0.8× 15 0.4× 11 0.3× 41 252
Juntao Ma China 9 155 1.4× 116 1.2× 19 0.4× 62 1.6× 10 0.3× 21 259
Kalina Andreeva United States 11 174 1.6× 85 0.8× 68 1.3× 52 1.3× 7 0.2× 17 324
Jun Ou China 9 258 2.4× 196 2.0× 29 0.5× 18 0.5× 25 0.7× 14 376
Chunli Liang China 10 249 2.3× 171 1.7× 42 0.8× 48 1.2× 9 0.3× 17 393
Lechen Li China 7 169 1.6× 55 0.6× 14 0.3× 148 3.7× 8 0.2× 7 321
Kunhyang Park South Korea 9 106 1.0× 30 0.3× 14 0.3× 37 0.9× 5 0.1× 18 201

Countries citing papers authored by Ye Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ye Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Cheng. A scholar is included among the top collaborators of Ye Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ye Cheng. Ye Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Chen, Xinyu, et al.. (2025). Analysis of volatile compounds and vintage discrimination of raw Pu-erh tea based on GC-IMS and GC–MS combined with data fusion. Journal of Chromatography A. 1743. 465683–465683. 5 indexed citations
2.
Chen, Xinyu, et al.. (2024). Characteristic volatile compounds of white tea with different storage times using E‐nose, HS–GC–IMS, and HS–SPME–GC–MS. Journal of Food Science. 89(12). 9137–9153. 5 indexed citations
5.
Driver, John P., Jeremy J. Racine, Ye Cheng, et al.. (2016). Interferon-γ Limits Diabetogenic CD8+ T-Cell Effector Responses in Type 1 Diabetes. Diabetes. 66(3). 710–721. 26 indexed citations
6.
Zhang, Jing, Ye Cheng, Wei Cui, et al.. (2013). MicroRNA-155 modulates Th1 and Th17 cell differentiation and is associated with multiple sclerosis and experimental autoimmune encephalomyelitis. Journal of Neuroimmunology. 266(1-2). 56–63. 154 indexed citations
7.
Jian-ping, Chen, et al.. (2004). Advances in cereal viruses transmitted by Polymyxa graminis Led.. Europe PMC (PubMed Central). 30(2). 14–18. 1 indexed citations
8.
Yang, Jianping, Jianping Chen, Ye Cheng, et al.. (2002). Responses of Some American, European and Japanese Wheat Cultivars to Soil-Borne Wheat Viruses in China. Rothamsted Repository (Rothamsted Repository). 1(10). 1141–1150. 10 indexed citations
9.
Cheng, Ye. (2002). The complete sequence of a sugarcane mosaic virus isolate causing maize dwarf mosaic disease in China. Science in China Series C Life Sciences. 45(3). 322–322. 10 indexed citations
10.
Cheng, Ye, et al.. (2001). Maize Dwarf Mosaic Disease Occurred in Hangzhou Isolate Caused by Sugarcane M osaic Virus. Virologica Sinica. 16(2). 170–174. 1 indexed citations
11.
Chen, Jiong, et al.. (2001). Preliminary characterization of the virus associated with sugarcane mosaic disease occurred in Zhejiang Province.. Acta Phytopathologica Sinica. 31(3). 271–273. 1 indexed citations
12.
Yang, Jianping, Jianping Chen, Jiong Chen, Ye Cheng, & M. J. Adams. (2001). Sequence analysis of a soilborne wheat mosaic virus isolate from Italy shows that it is the same virus asEuropean wheat mosaic virus andSoilborne rye mosaic virus. Science in China Series C Life Sciences. 44(2). 216–224. 18 indexed citations

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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