Hong Mei

1.2k total citations
10 papers, 316 citations indexed

About

Hong Mei is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Hong Mei has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Neurology. Recurrent topics in Hong Mei's work include Renal Transplantation Outcomes and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers) and Immune Cell Function and Interaction (2 papers). Hong Mei is often cited by papers focused on Renal Transplantation Outcomes and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers) and Immune Cell Function and Interaction (2 papers). Hong Mei collaborates with scholars based in China, United States and Hong Kong. Hong Mei's co-authors include Boonlert Cheewatrakoolpong, Kallol Basu, Zhizhang Yin, Yinghui Lin, Duane E. DeMong, Frederique M. Poulet, Matthew Kennedy, Eric M. Parker, Matthew Fell and Michael A. Miller and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Molecular Therapy.

In The Last Decade

Hong Mei

10 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Mei China	6	164	147	61	59	57	10	316
Yinghui Lin United States	5	160 1.0×	174 1.2×	44 0.7×	74 1.3×	118 2.1×	5	389
Haya Hamza Israel	7	100 0.6×	199 1.4×	45 0.7×	115 1.9×	31 0.5×	12	429
Elisa Lupino Italy	11	191 1.2×	254 1.7×	38 0.6×	107 1.8×	50 0.9×	14	465
Illari Salvatori Italy	13	138 0.8×	221 1.5×	41 0.7×	83 1.4×	26 0.5×	20	420
Emmanuelle C. Genin France	11	134 0.8×	286 1.9×	45 0.7×	90 1.5×	14 0.2×	15	408
Damian M. S. Spencer Australia	9	143 0.9×	232 1.6×	32 0.5×	51 0.9×	141 2.5×	11	437
Yidan Shi China	6	171 1.0×	186 1.3×	112 1.8×	102 1.7×	62 1.1×	13	405
Meredith V. Brown United States	8	133 0.8×	262 1.8×	19 0.3×	38 0.6×	73 1.3×	8	423
Tang Suisheng China	8	127 0.8×	284 1.9×	49 0.8×	41 0.7×	17 0.3×	16	525
Cristian Galván Argentina	8	52 0.3×	179 1.2×	76 1.2×	145 2.5×	51 0.9×	16	342

Countries citing papers authored by Hong Mei

Since Specialization

Citations

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

Fields of papers citing papers by Hong Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Mei. A scholar is included among the top collaborators of Hong Mei 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 Hong Mei. Hong Mei 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:

10 of 10 papers shown

Zhang, Lijun, et al.. (2025). Identifying traditional Chinese medicine combinations for breast cancer treatment based on transcriptional regulation and chemical structure. Chinese Medicine. 20(1). 23–23. 1 indexed citations

Zhang, Guang, Kai Cheng, & Hong Mei. (2025). Stability Enhancement of Microalgae–Fungal Pellets. Water. 17(12). 1766–1766. 1 indexed citations

Zhang, Yuting, Kai Cheng, Hong Mei, & Wensheng Qin. (2024). A Novel Algal–Algal Microbial Fuel Cell for Enhanced Chemical Oxygen Demand Removal. Water. 16(19). 2798–2798. 2 indexed citations

Lyu, Zhaojie, Ying Wang, Miao Chen, et al.. (2020). Recurrent ZNF83-E293V Mutation Promotes Bladder Cancer Progression through the NF-κB Pathway via Transcriptional Dysregulation of S100A8. Molecular Therapy. 29(1). 275–290. 26 indexed citations

Fang, Erhu, Jianqun Wang, Hong Mei, Liduan Zheng, & Qiangsong Tong. (2018). Valproic acid suppresses Warburg effect and tumor progression in neuroblastoma. Biochemical and Biophysical Research Communications. 508(1). 9–16. 19 indexed citations

Wu, Wen‐Lian, Jinsong Hao, Martin S. Domalski, et al.. (2016). Discovery of Novel Tricyclic Heterocycles as Potent and Selective DPP-4 Inhibitors for the Treatment of Type 2 Diabetes. ACS Medicinal Chemistry Letters. 7(5). 498–501. 38 indexed citations

Fell, Matthew, Christian Mirescu, Kallol Basu, et al.. (2015). MLi-2, a Potent, Selective, and Centrally Active Compound for Exploring the Therapeutic Potential and Safety of LRRK2 Kinase Inhibition. Journal of Pharmacology and Experimental Therapeutics. 355(3). 397–409. 206 indexed citations

Jia, Yanlin, Garfield G. Mingo, John C. Hunter, et al.. (2014). Pharmacological Evaluation of Selective α2c-Adrenergic Agonists in Experimental Animal Models of Nasal Congestion. Journal of Pharmacology and Experimental Therapeutics. 349(1). 75–84. 1 indexed citations

Luo, Lei, et al.. (2013). The effect of MICA antigens on kidney transplantation outcomes. Immunology Letters. 156(1-2). 54–58. 6 indexed citations

10.

Luo, Lei, Zhengyu Li, Guangheng Luo, et al.. (2013). Role of MICA antibodies in solid organ transplantation. Clinical Transplantation. 28(2). 152–160. 16 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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