Wei Ming

4.9k total citations
128 papers, 3.8k citations indexed

About

Wei Ming is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Wei Ming has authored 128 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 34 papers in Immunology and 22 papers in Genetics. Recurrent topics in Wei Ming's work include Virus-based gene therapy research (20 papers), Immunotherapy and Immune Responses (17 papers) and Cancer Research and Treatments (14 papers). Wei Ming is often cited by papers focused on Virus-based gene therapy research (20 papers), Immunotherapy and Immune Responses (17 papers) and Cancer Research and Treatments (14 papers). Wei Ming collaborates with scholars based in Australia, China and United States. Wei Ming's co-authors include David A. Good, Wei Duan, Sarah Shigdar, Saeed M. Hashimi, K.A.O. Ellem, Jia Lin, Harendra S. Parekh, Pat Metharom, Gang Liu and Jozef Anné and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Journal of Clinical Oncology.

In The Last Decade

Wei Ming

125 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Ming Australia 34 1.9k 626 502 492 437 128 3.8k
Laura Masuelli Italy 37 1.9k 1.0× 679 1.1× 615 1.2× 229 0.5× 336 0.8× 128 3.9k
Chunhua Yang China 38 2.3k 1.2× 360 0.6× 365 0.7× 560 1.1× 535 1.2× 164 4.6k
Qianqian Zhu China 35 1.9k 1.0× 437 0.7× 549 1.1× 344 0.7× 938 2.1× 159 3.9k
Roberto Bei Italy 40 2.0k 1.0× 1.0k 1.6× 976 1.9× 317 0.6× 399 0.9× 154 5.1k
Srinivasa Reddy Bonam United States 41 2.1k 1.1× 592 0.9× 540 1.1× 458 0.9× 629 1.4× 140 5.5k
Hitoshi Sasaki Japan 32 2.0k 1.1× 575 0.9× 338 0.7× 580 1.2× 193 0.4× 222 4.3k
Massoud Saidijam Iran 36 2.3k 1.2× 541 0.9× 328 0.7× 227 0.5× 938 2.1× 236 4.7k
Myron R. Szewczuk Canada 30 1.8k 0.9× 628 1.0× 1.6k 3.2× 908 1.8× 363 0.8× 121 5.1k
Alejandro Garcı́a-Carrancá Mexico 36 2.2k 1.1× 909 1.5× 594 1.2× 321 0.7× 897 2.1× 138 4.8k
Krishne Gowda United States 36 1.9k 1.0× 386 0.6× 1.1k 2.2× 284 0.6× 306 0.7× 129 4.5k

Countries citing papers authored by Wei Ming

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Ming

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

All Works

20 of 20 papers shown
1.
Rahi, Melissa, et al.. (2025). Evaluation of Immunostimulatory Effects of Bacterial Lysate Proteins on THP‐1 Macrophages: Pro‐inflammatory Cytokine Response and Proteomic Profiling. Journal of Immunology Research. 2025(1). 2289241–2289241. 1 indexed citations
2.
3.
Feng, Tao, Qiuwen Chen, Wei Ming, et al.. (2025). Quantify downstream delivery of bioavailable nutrients in cascade reservoirs by developing a watershed-reservoir modeling system. Water Research. 287(Pt B). 124447–124447.
4.
5.
Munn, Alan L., et al.. (2024). Bacterial ghosts: A breakthrough approach to cancer vaccination. Biomedicine & Pharmacotherapy. 182. 117766–117766. 4 indexed citations
6.
Grice, I. Darren, et al.. (2024). Advances in Bacterial Lysate Immunotherapy for Infectious Diseases and Cancer. Journal of Immunology Research. 2024(1). 4312908–4312908. 7 indexed citations
7.
Rao, Xi, Wei Ming, Yuping Hua, et al.. (2024). Lactobacillus salivarius metabolite succinate enhances chicken intestinal stem cell activities via the SUCNR1-mitochondria axis. Poultry Science. 104(2). 104754–104754. 2 indexed citations
8.
Good, David M., et al.. (2024). mRNA vaccines: a new era in vaccine development. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 32(10). 1543–1564. 22 indexed citations
9.
Zhou, Lei, et al.. (2023). Comprehensive analysis of CXCL14 uncovers its role during liver metastasis in colon cancer. BMC Gastroenterology. 23(1). 273–273. 6 indexed citations
10.
Nair, Raj, Lakshman P. Samaranayake, Li Zhang, et al.. (2016). The yield and quality of cellular and bacterial DNA extracts from human oral rinse samples are variably affected by the cell lysis methodology. Journal of Microbiological Methods. 122. 64–72. 17 indexed citations
11.
Ni, Guoying, Tianfang Wang, Lin Yang, et al.. (2015). Combining anaerobic bacterial oncolysis with vaccination that blocks interleukin-10 signaling may achieve better outcomes for late stage cancer management. Human Vaccines & Immunotherapeutics. 12(3). 599–606. 2 indexed citations
12.
Ni, Guoying, Tianfang Wang, Shelley F. Walton, et al.. (2015). Manipulating IL-10 signalling blockade for better immunotherapy. Cellular Immunology. 293(2). 126–129. 58 indexed citations
13.
Zhong, Fei, Fang Ye, Wei Ming, et al.. (2014). Does Intraoperative Ulinastatin Improve Postoperative Clinical Outcomes in Patients Undergoing Cardiac Surgery: A Meta-Analysis of Randomized Controlled Trials. BioMed Research International. 2014. 1–15. 24 indexed citations
14.
Xu, Jian, et al.. (2009). Combination of immunotherapy with anaerobic bacteria for immunogene therapy of solid tumours. Griffith Research Online (Griffith University, Queensland, Australia). 13(1). 36–52. 17 indexed citations
15.
Parekh, Harendra S., Gang Liu, & Wei Ming. (2009). A new dawn for the use of traditional Chinese medicine in cancer therapy. Molecular Cancer. 8(1). 21–21. 107 indexed citations
16.
17.
Dunning, Laura, Stefan Jaroch, Karen May, et al.. (2007). CCR5 receptor antagonists: Discovery and SAR of novel 4-hydroxypiperidine derivatives. Bioorganic & Medicinal Chemistry Letters. 17(7). 1883–1887. 15 indexed citations
18.
O’Brien, Bronwyn A., M. A. Swan, Mark E. Koina, et al.. (2007). Long-term correction of diabetes in rats after lentiviral hepatic insulin gene therapy. Diabetologia. 50(9). 1910–1920. 49 indexed citations
19.
Ming, Wei, Pat Metharom, K.A.O. Ellem, & Stefan Barth. (2005). Search for "weapons of mass destruction" for cancer -- immuno/ gene therapy comes of age.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2(5). 351–7. 3 indexed citations
20.
Metharom, Pat, et al.. (2004). The significance of controlled conditions in lentiviral vector titration and in the use of multiplicity of infection (MOI) for predicting gene transfer events. Queensland's institutional digital repository (The University of Queensland). 4 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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