Min Ye

590 total citations
11 papers, 496 citations indexed

About

Min Ye is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Min Ye has authored 11 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Organic Chemistry. Recurrent topics in Min Ye's work include Natural product bioactivities and synthesis (4 papers), Virus-based gene therapy research (2 papers) and Ginseng Biological Effects and Applications (2 papers). Min Ye is often cited by papers focused on Natural product bioactivities and synthesis (4 papers), Virus-based gene therapy research (2 papers) and Ginseng Biological Effects and Applications (2 papers). Min Ye collaborates with scholars based in China, Singapore and United States. Min Ye's co-authors include De‐an Guo, Wenzhi Yang, Wanying Wu, Ying Hu, Jian Han, Hongzhu Guo, Bo Shao, Yajun Cui, Koji Ichiyama and Kenji Ohba and has published in prestigious journals such as Blood, European Journal of Immunology and Phytochemistry.

In The Last Decade

Min Ye

10 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Ye China	6	410	141	86	81	70	11	496
Zhanhu Cui China	9	226 0.6×	47 0.3×	125 1.5×	80 1.0×	34 0.5×	33	368
Dechao Tan Macao	14	208 0.5×	120 0.9×	70 0.8×	80 1.0×	14 0.2×	17	460
Xiuyan Wei China	9	165 0.4×	74 0.5×	55 0.6×	46 0.6×	52 0.7×	21	380
Marı́a-Carmen Recio Spain	7	199 0.5×	69 0.5×	111 1.3×	51 0.6×	38 0.5×	10	427
Ji Yeong Yang South Korea	11	165 0.4×	69 0.5×	62 0.7×	22 0.3×	40 0.6×	39	471
Shengli Wei China	14	325 0.8×	140 1.0×	180 2.1×	94 1.2×	12 0.2×	54	556
Ou Dai China	10	234 0.6×	106 0.8×	125 1.5×	73 0.9×	20 0.3×	26	415
Hirotoshi Fushimi Japan	15	434 1.1×	111 0.8×	197 2.3×	135 1.7×	9 0.1×	25	603
Jingjing Shi China	12	249 0.6×	134 1.0×	89 1.0×	56 0.7×	11 0.2×	21	422
Guemsan Lee South Korea	14	250 0.6×	103 0.7×	114 1.3×	114 1.4×	5 0.1×	53	480

Countries citing papers authored by Min Ye

Since Specialization

Citations

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

Fields of papers citing papers by Min Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Min Ye. A scholar is included among the top collaborators of Min Ye 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 Min Ye. Min Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Zhao, Yun, et al.. (2025). Effect of Geographic Regions on the Flavor Quality and Non-Volatile Compounds of Chinese Matcha. Foods. 14(1). 97–97. 2 indexed citations

2.

Ding, Huimin, et al.. (2024). Study on the Mechanism of Kaempferol Against Diabetic Nephropathy via NLRP3/Caspase-1 Signaling Pathway. Acta Poloniae Pharmaceutica - Drug Research. 81(3). 523–532.

3.

Ding, Rui, Chunxue Zhao, Jia Xu, et al.. (2024). Triterpenoid saponins from the roots of Panax notoginseng with protective effects against APAP-induced liver injury. Fitoterapia. 178. 106159–106159. 4 indexed citations

4.

Tan, Darren Qiancheng, Li‐Feng Zhang, Kenji Ohba, et al.. (2016). Macrophage response to oncolytic paramyxoviruses potentiates virus‐mediated tumor cell killing. European Journal of Immunology. 46(4). 919–928. 37 indexed citations

5.

Jeyasekharan, Anand D., Kuangwen Hsieh, Koji Ichiyama, et al.. (2014). Combination of vaccine-strain measles and mumps virus synergistically kills a wide range of human hematological cancer cells: Special focus on acute myeloid leukemia. Cancer Letters. 354(2). 272–280. 15 indexed citations

6.

Yang, Wenzhi, Ying Hu, Wanying Wu, Min Ye, & De‐an Guo. (2014). Saponins in the genus Panax L. (Araliaceae): A systematic review of their chemical diversity. Phytochemistry. 106. 7–24. 278 indexed citations

7.

Ye, Min. (2013). A Protective Role of Nrf2 in Inflammatory Disorders. Pharmaceutical biotechnology. 1 indexed citations

8.

Ye, Min, Chunyang Yu, Ning Li, & Min‐Hua Zong. (2011). Highly regioselective glucosylation of 2′-deoxynucleosides by using the crude β-glycosidase from bovine liver. Journal of Biotechnology. 155(2). 203–208. 8 indexed citations

9.

Kang, Jie, Lei Zhou, Min Ye, et al.. (2008). Three new compounds from the roots of Saposhnikovia divaricata. Journal of Asian Natural Products Research. 10(10). 971–976. 23 indexed citations

10.

Shao, Bo, Hongzhu Guo, Yajun Cui, et al.. (2006). Steroidal saponins from Smilax china and their anti-inflammatory activities. Phytochemistry. 68(5). 623–630. 126 indexed citations

11.

Xie, Huafeng, et al.. (2004). T to Myeloid Lineage Reprogramming by the Synergistic Action of C/EBP and PU.1.. Blood. 104(11). 225–225. 2 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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