Meng Yang

10.4k total citations · 1 hit paper
113 papers, 7.7k citations indexed

About

Meng Yang is a scholar working on Biotechnology, Molecular Biology and Genetics. According to data from OpenAlex, Meng Yang has authored 113 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Biotechnology, 48 papers in Molecular Biology and 38 papers in Genetics. Recurrent topics in Meng Yang's work include Cancer Research and Treatments (64 papers), Virus-based gene therapy research (36 papers) and Nanoplatforms for cancer theranostics (28 papers). Meng Yang is often cited by papers focused on Cancer Research and Treatments (64 papers), Virus-based gene therapy research (36 papers) and Nanoplatforms for cancer theranostics (28 papers). Meng Yang collaborates with scholars based in United States, China and Japan. Meng Yang's co-authors include Robert M. Hoffman, Ping Jiang, Eugene Baranov, Sheldon Penman, Michael Bouvet, A. R. Moossa, Ming Zhao, Mingxu Xu, Lingna Li and Abdool R. Moossa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Meng Yang

111 papers receiving 7.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inflammatory tumor microenvironment responsive neutrophil exosomes-based drug delivery system for targeted glioma therapy

2021 228 citations Meng Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Yang United States	44	3.3k	3.2k	2.9k	1.9k	1.5k	113	7.7k
Ping Jiang United States	39	2.1k 0.6×	1.9k 0.6×	1.7k 0.6×	1.1k 0.6×	1.9k 1.2×	98	5.6k
Khalid Shah United States	51	4.7k 1.4×	586 0.2×	1.2k 0.4×	1.3k 0.7×	2.2k 1.5×	139	8.5k
Maja Čemažar Slovenia	54	2.8k 0.9×	7.7k 2.4×	5.0k 1.7×	599 0.3×	1.2k 0.8×	319	10.9k
Ole W. Petersen Denmark	53	5.6k 1.7×	641 0.2×	1.6k 0.6×	992 0.5×	5.6k 3.7×	107	11.4k
Chae‐Ok Yun South Korea	54	5.4k 1.7×	1.0k 0.3×	1.0k 0.3×	3.6k 1.9×	2.9k 2.0×	256	9.6k
K. Dane Wittrup United States	69	10.4k 3.2×	2.1k 0.6×	2.1k 0.7×	804 0.4×	4.0k 2.7×	235	16.8k
E. Antonio Chiocca United States	67	7.6k 2.3×	899 0.3×	1.1k 0.4×	5.4k 2.9×	4.7k 3.1×	280	14.4k
Hiroaki Wakimoto United States	56	4.8k 1.5×	704 0.2×	647 0.2×	2.9k 1.5×	3.8k 2.5×	185	9.4k
Paule Opolon France	44	3.5k 1.1×	833 0.3×	696 0.2×	1.3k 0.7×	1.5k 1.0×	159	6.6k
Charlotte Kuperwasser United States	45	6.4k 1.9×	487 0.2×	857 0.3×	928 0.5×	6.8k 4.5×	91	11.1k

Countries citing papers authored by Meng Yang

Since Specialization

Citations

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

Fields of papers citing papers by Meng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yang

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

All Works

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20 of 20 papers shown

Liu, Jilei, Hongru Shen, Yichen Yang, et al.. (2024). Transformer‐based representation learning and multiple‐instance learning for cancer diagnosis exclusively from raw sequencing fragments of bisulfite‐treated plasma cell‐free DNA. Molecular Oncology. 18(11). 2755–2769. 3 indexed citations

Huang, Lichao, et al.. (2023). Self-play reinforcement learning guides protein engineering. Nature Machine Intelligence. 5(8). 845–860. 35 indexed citations

Huang, Lichao, et al.. (2023). Author Correction: Self-play reinforcement learning guides protein engineering. Nature Machine Intelligence. 5(8). 947–947.

Shen, Xilin, Hongru Shen, Dan Wu, et al.. (2022). Scalable batch-correction approach for integrating large-scale single-cell transcriptomes. Briefings in Bioinformatics. 23(5). 3 indexed citations

Yang, Meng, Lichao Huang, Haiping Huang, et al.. (2022). Integrating convolution and self-attention improves language model of human genome for interpreting non-coding regions at base-resolution. Nucleic Acids Research. 50(14). e81–e81. 23 indexed citations

Shen, Hongru, Xilin Shen, Dan Wu, et al.. (2021). A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings. Briefings in Bioinformatics. 23(2). 9 indexed citations

Song, Fangfang, Lian Li, Baifeng Zhang, et al.. (2020). Tumor specific methylome in Chinese high-grade serous ovarian cancer characterized by gene expression profile and tumor genotype. Gynecologic Oncology. 158(1). 178–187. 5 indexed citations

Chen, Ping, Tao Hu, Yupei Liang, et al.. (2016). Neddylation Inhibition Activates the Extrinsic Apoptosis Pathway through ATF4–CHOP–DR5 Axis in Human Esophageal Cancer Cells. Clinical Cancer Research. 22(16). 4145–4157. 99 indexed citations

Yang, Meng, Ping Jiang, & Robert M. Hoffman. (2015). Early Reporting of Apoptosis by Real-time Imaging of Cancer Cells Labeled with Green Fluorescent Protein in the Nucleus and Red Fluorescent Protein in the Cytoplasm.. PubMed. 35(5). 2539–43. 10 indexed citations

10.

Hua, Wei, Chunjie Li, Zixiao Yang, et al.. (2015). Suppression of glioblastoma by targeting the overactivated protein neddylation pathway. Neuro-Oncology. 17(10). 1333–1343. 74 indexed citations

11.

Zhang, Qingbei, Meng Yang, Jikun Shen, et al.. (2009). The role of the intravascular microenvironment in spontaneous metastasis development. International Journal of Cancer. 126(11). 2534–2541. 32 indexed citations

12.

Cao, Hop S. Tran, Jose Reynoso, Meng Yang, et al.. (2009). Development of the transgenic cyan fluorescent protein (CFP)‐expressing nude mouse for “Technicolor” cancer imaging. Journal of Cellular Biochemistry. 107(2). 328–334. 33 indexed citations

13.

Yang, Meng, Ping Jiang, & Robert M. Hoffman. (2007). Whole-Body Subcellular Multicolor Imaging of Tumor-Host Interaction and Drug Response in Real Time. Cancer Research. 67(11). 5195–5200. 102 indexed citations

14.

Yamauchi, Kensuke, Meng Yang, Ping Jiang, et al.. (2006). Development of Real-time Subcellular Dynamic Multicolor Imaging of Cancer-Cell Trafficking in Live Mice with a Variable-Magnification Whole-Mouse Imaging System. Cancer Research. 66(8). 4208–4214. 219 indexed citations

15.

Jiang, Ping, Kensuke Yamauchi, Meng Yang, et al.. (2006). Tumor Cells Genetically Labeled with GFP in the Nucleus and RFP in the Cytoplasm for Imaging Cellular Dynamics. Cell Cycle. 5(11). 1198–1201. 37 indexed citations

16.

Glinsky, Gennadi V., Anna B. Glinskii, Bruce A. Smith, et al.. (2005). Dual-Color-Coded Imaging of Viable Circulating Prostate Carcinoma Cells Reveals Genetic Exchange between Tumor Cells In Vivo, Contributing to Highly Metastatic Phenotypes. Cell Cycle. 5(2). 191–197. 38 indexed citations

17.

Yang, Meng, Ping Jiang, Norio Yamamoto, et al.. (2004). Real‐time whole‐body imaging of an orthotopic metastatic prostate cancer model expressing red fluorescent protein. The Prostate. 62(4). 374–379. 39 indexed citations

18.

Li, Xiaoming, Jinwei Wang, Zili An, et al.. (2002). Optically imageable metastatic model of human breast cancer. Clinical & Experimental Metastasis. 19(4). 347–350. 39 indexed citations

19.

Pfeifer, Alexander, Torsten Keßler, Meng Yang, et al.. (2001). Transduction of Liver Cells by Lentiviral Vectors: Analysis in Living Animals by Fluorescence Imaging. Molecular Therapy. 3(3). 319–322. 93 indexed citations

20.

Yang, Meng, Takashi Chishima, Xiaoen Wang, et al.. (1999). Multi-organ metastatic capability of Chinese hamster ovary cells revealed by green fluorescent protein (GFP) expression. Clinical & Experimental Metastasis. 17(5). 417–422. 27 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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