Yang Ruan

1.3k total citations
28 papers, 1.1k citations indexed

About

Yang Ruan is a scholar working on Molecular Biology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yang Ruan has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Neurology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yang Ruan's work include Barrier Structure and Function Studies (8 papers), Electron Spin Resonance Studies (5 papers) and Chemotherapy-induced cardiotoxicity and mitigation (5 papers). Yang Ruan is often cited by papers focused on Barrier Structure and Function Studies (8 papers), Electron Spin Resonance Studies (5 papers) and Chemotherapy-induced cardiotoxicity and mitigation (5 papers). Yang Ruan collaborates with scholars based in China, United States and Italy. Yang Ruan's co-authors include Tao Shen, Jian Li, Yuan Cao, Yong Man, Chengshi Quan, Minlan Yang, Beidong Chen, Xiuqing Huang, Yuping Zhu and Chao Duan and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and BioMed Research International.

In The Last Decade

Yang Ruan

28 papers receiving 1.1k citations

Peers

Yang Ruan
Comparison fields: 5 of 106
  • Molecular Biology 426
  • Cardiology and Cardiovascular Medicine 266
  • Oncology 185
  • Cancer Research 174
  • Neurology 169
Replace Bin Liang with:
Bin Liang China
Chaoqi Liu China
Siamak Sandoghchian Shotorbani Iran
Dan Han China
Chao Niu China
Yingchun Zhou China
Nikhlesh K. Singh United States
Young‐Chae Chang South Korea
Xiuhua Wang China
Bin Liang China View profile →
Citations per field, relative to Yang Ruan
Yang Ruan · 1×
Citations per year, relative to Yang Ruan
Yang Ruan · 1×

Countries citing papers authored by Yang Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Ruan. A scholar is included among the top collaborators of Yang Ruan 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 Yang Ruan. Yang Ruan 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 2
2 15
3 3
4 13
5 43
6 75
7 28
8 12
9 60
10 60
11 26
12 55
13 38
14 81
15 23
16
Expression of apoptosis signal-regulating kinase 1 is associated with tight junction protein claudin-6 in cervical carcinoma.
17
17 12
18 48
19 48
20 65

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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