Mei Yang

1.9k total citations · 1 hit paper
85 papers, 1.4k citations indexed

About

Mei Yang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mei Yang has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Immunology. Recurrent topics in Mei Yang's work include RNA modifications and cancer (8 papers), Immune cells in cancer (8 papers) and Immune Response and Inflammation (5 papers). Mei Yang is often cited by papers focused on RNA modifications and cancer (8 papers), Immune cells in cancer (8 papers) and Immune Response and Inflammation (5 papers). Mei Yang collaborates with scholars based in China, United States and Hong Kong. Mei Yang's co-authors include Han Gao, Yihua Gao, Bin Cai, Haizhong Guo, Yu Chen, Lei Li, Weijie Liu, Ziyu Wang, Nishuang Liu and Yue Yang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mei Yang

78 papers receiving 1.4k citations

Hit Papers

High‐Performance Flexible Pressure Sensor with a Self‐Hea... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Mei Yang
Comparison fields: 5 of 138
  • Molecular Biology 400
  • Biomedical Engineering 235
  • Cancer Research 178
  • Surgery 129
  • Epidemiology 117
Replace Xiu Liu with:
Xiu Liu China
Qin Wu China
Hao Hu China
Rui Gao China
Hitoshi Okazaki Japan
Michael D. Weiss United States
Wang Liao China
Yueqi Zhang China
Linyi Chen Taiwan
Xiu Liu China View profile →
Citations per field, relative to Mei Yang
Mei Yang · 1×
Citations per year, relative to Mei Yang
Mei Yang · 1×

Countries citing papers authored by Mei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yang. A scholar is included among the top collaborators of Mei 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 Mei Yang. Mei Yang 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
# Work Indexed citations
1 0
2 0
3 0
4 3
5 5
6 6
7 17
8 18
9 7
10 13
11 10
12
SNHG16: A Novel Long-Non Coding RNA in Human Cancers
2
13
A Study Of Efficacy And Safety With Apatinib Or Apatinib Combined With Chemotherapy In Recurrent/advanced Ovarian Cancer Patients
2
14 15
15
Mechanism of the preventive effect of breviscapus on pathogenesis of acute kidney injury in rats with sepsis
1
16 18
17 77
18 19
19 16
20
Differential Proteomic Analysis of Chinese fir Clone Leaf Response to Salicylic Acid
2

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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