Mei Song

5.5k citations
76 papers · 4.1k indexed · 2 hit papers · h-index 25
Topics
Liver Disease Diagnosis and Treatment (10 papers)MicroRNA in disease regulation (9 papers)Cancer-related molecular mechanisms research (9 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Mei Song

72 papers receiving 4.0k citations

Hit Papers

Sodium taurocholate cotransporting polypeptide is a funct...20122026201620212012201850010001.5k

Peers

Mei Song
Comparison fields: 5 of 141
  • Epidemiology 1.9k
  • Hepatology 1.4k
  • Molecular Biology 1.2k
  • Oncology 1.1k
  • Immunology 644
Replace Shiou‐Hwei Yeh with:
Shiou‐Hwei Yeh Taiwan
Hangping Yao China
Zhiyong Ma China
Lars Kaderali Germany
Shuye Zhang China
Michael Schmidt Germany
Matteo Iannacone Italy
Michael Bitzer Germany
Thomas von Hahn Germany
Andrew Godkin United Kingdom
Mei Song relative to Shiou‐Hwei Yeh Taiwan Shiou‐Hwei Yeh's profile →
Citations per field
00.5×6.5×
Shiou‐Hwei Yeh · 1×
Citations per year

Countries citing papers authored by Mei Song

Since Specialization
Citations

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

Fields of papers citing papers by Mei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Song. A scholar is included among the top collaborators of Mei Song 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 Mei Song. Mei Song 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
#WorkIndexed citations
1 2
2 1
3 0
4 10
5 23
6 35
7 33
8 16
9 1
10 9
11 111
12 20
13 0
14 2
15
Targeted delivery of a PD-1-blocking scFv by CAR-T cells enhances anti-tumor efficacy in vivobreakdown →
628
16 86
17 153
18
FDI's real impact on foreign exchange reserves: Evidence from China
3
19 37
20 6

About Mei Song

Mei Song is a scholar working on Hepatology, Cancer Research and Health Informatics, having authored 76 papers that have together received 4.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (1.9k citations) and Oncology (1.1k citations). Mei Song has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhiyi Jing, Wenhui Li, Wenhui He, Guangwei Xu, B Ren, Yonghe Qi, Huan Yan, Guocai Zhong, Jianhua Sui and Xiaozhong Peng. Their work appears in journals such as Nature Communications, Nature Biotechnology and Biomaterials.

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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