Yi Xiang

1.4k citations
22 papers · 1.0k indexed · h-index 14
Topics
Cellular transport and secretion (9 papers)Endoplasmic Reticulum Stress and Disease (6 papers)MicroRNA in disease regulation (3 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Yi Xiang

22 papers receiving 1.0k citations

Peers

Yi Xiang
Comparison fields: 5 of 76
  • Molecular Biology 570
  • Cell Biology 506
  • Organic Chemistry 141
  • Cancer Research 116
  • Surgery 99
Replace Attila Lehotzky with:
Attila Lehotzky Hungary
Thomas P. Garner United Kingdom
Feng Yan United States
Junya Hasegawa Japan
Mai Uesugi Japan
Marina Y. Pushkareva United States
Haixia Zou China
Marcella Debidda United States
Gelin Wang China
Raveendra-Panickar Dhanya United States
Yi Xiang relative to Attila Lehotzky Hungary Attila Lehotzky's profile →
Citations per field
00.5×4.3×
Attila Lehotzky · 1×
Citations per year

Countries citing papers authored by Yi Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Xiang. A scholar is included among the top collaborators of Yi Xiang 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 Yi Xiang. Yi Xiang 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 2
3 6
4 21
5 30
6 2
7 4
8 131
9 51
10 34
11 33
12 42
13 154
14 169
15 148
16 33
17 101
18 27
19
[Three dimensional quantitative structure-activity relationship of farnesyl protein transferase inhibitors].
1
20
[Study on 3D-QSAR of PPAR gamma agonists with thiazolidinedione and arylketo-acid moieties].
2

About Yi Xiang

Yi Xiang is a scholar working on Physiology, Cell Biology and Pharmacology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cell Biology (506 citations), Physiology (66 citations) and Molecular Biology (570 citations). Yi Xiang has collaborated with scholars based in China, United States and France. Frequent co-authors include Yanzhuang Wang, Danming Tang, Zongru Guo, Xiaoyan Zhang, Blaine Bisel, Joachim Seemann, Fengming Chu, Gui-Fang Cheng, David B. Nix and Michael Tiemeyer. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

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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