Ming Yu

528 total citations
11 papers, 370 citations indexed

About

Ming Yu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ming Yu has authored 11 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in Ming Yu's work include Immunotherapy and Immune Responses (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Neuropeptides and Animal Physiology (2 papers). Ming Yu is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Neuropeptides and Animal Physiology (2 papers). Ming Yu collaborates with scholars based in China and United Kingdom. Ming Yu's co-authors include Bing Shen, Meiru Hu, Ning Guo, Qian Lu, Dan Liu, Lun Song, Huijun Duan, Ming Shi, Xuemin Zhang and Hongxia Wang and has published in prestigious journals such as Clinical Cancer Research, Developmental Biology and Molecular Cancer.

In The Last Decade

Ming Yu

10 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Yu China	8	167	121	102	73	59	11	370
J. Hansson Sweden	10	168 1.0×	87 0.7×	127 1.2×	55 0.8×	27 0.5×	13	574
Michal Hendrych Czechia	12	111 0.7×	32 0.3×	44 0.4×	35 0.5×	27 0.5×	32	336
Albert Chetcuti Australia	9	242 1.4×	61 0.5×	61 0.6×	31 0.4×	31 0.5×	10	377
Paul D. Deeble United States	5	294 1.8×	101 0.8×	176 1.7×	112 1.5×	35 0.6×	6	581
Mohit Hulsurkar United States	10	322 1.9×	53 0.4×	73 0.7×	50 0.7×	18 0.3×	19	517
G. Niederwieser Austria	10	111 0.7×	52 0.4×	73 0.7×	147 2.0×	92 1.6×	15	546
Zeina Saikali Canada	7	172 1.0×	33 0.3×	84 0.8×	29 0.4×	28 0.5×	8	337
Ji Hee Lee South Korea	10	200 1.2×	25 0.2×	78 0.8×	14 0.2×	28 0.5×	21	448
Steven Q. Le United States	14	158 0.9×	32 0.3×	20 0.2×	33 0.5×	17 0.3×	41	669
A. Sengupta United States	8	249 1.5×	14 0.1×	60 0.6×	36 0.5×	130 2.2×	15	499

Countries citing papers authored by Ming Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yu. A scholar is included among the top collaborators of Ming Yu 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 Ming Yu. Ming Yu 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.

Wang, Hao, et al.. (2023). α1,3-fucosylation of MEST promotes invasion potential of cytotrophoblast cells by activating translation initiation. Cell Death and Disease. 14(10). 651–651. 3 indexed citations

2.

Shi, Ming, Dan Liu, Huijun Duan, et al.. (2010). The β2-adrenergic receptor and Her2 comprise a positive feedback loop in human breast cancer cells. Breast Cancer Research and Treatment. 125(2). 351–362. 109 indexed citations

3.

Clowes, Christopher, et al.. (2010). The Mediator complex protein Med31 is required for embryonic growth and cell proliferation during mammalian development. Developmental Biology. 342(2). 146–156. 23 indexed citations

4.

Shi, Ming, Dan Liu, Huijun Duan, et al.. (2010). Catecholamine up-regulates MMP-7 expression by activating AP-1 and STAT3 in gastric cancer. Molecular Cancer. 9(1). 269–269. 81 indexed citations

5.

Wang, Yuxia, Ming Yu, Junhua Wu, et al.. (2009). An organophosphorus hapten used in the preparation of monoclonal antibody and as an active immunization vaccine in the detoxication of soman poisoning. Toxicology Letters. 187(1). 45–51. 6 indexed citations

6.

Shi, Ming, Ling Zhang, Hongtao Gu, et al.. (2007). Efficient growth inhibition of ErbB2-overexpressing tumor cells by anti-ErbB2 ScFv-Fc-IL-2 fusion protein in vitro and in vivo. Acta Pharmacologica Sinica. 28(10). 1611–1620. 8 indexed citations

7.

Zhao, Jie, Huiyan Li, Hui Liu, et al.. (2006). Proteomics‐based identification of autoantibodies in the sera of healthy Chinese individuals from Beijing. PROTEOMICS. 6(17). 4781–4789. 35 indexed citations

8.

Cui, Jiuwei, Weihua Li, Jie Wang, et al.. (2005). Proteomics-based Identification of Human Acute Leukemia Antigens That Induce Humoral Immune Response. Molecular & Cellular Proteomics. 4(11). 1718–1724. 48 indexed citations

9.

Yu, Ming, et al.. (2005). [Experimental study of adoptive immunotherapy using CD3AK cells].. PubMed. 21(2). 218–21.

10.

Cui, Jiuwei, Jie Wang, Kun He, et al.. (2004). Two‐dimensional electrophoresis protein profiling as an analytical tool for human acute leukemia classification. Electrophoresis. 26(1). 268–279. 16 indexed citations

11.

Cui, Jiuwei, Jie Wang, Kun He, et al.. (2004). Proteomic Analysis of Human Acute Leukemia Cells. Clinical Cancer Research. 10(20). 6887–6896. 41 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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