Xiangyuan He

793 citations
19 papers · 686 indexed · h-index 11
Topics
Cellular transport and secretion (8 papers)Alzheimer's disease research and treatments (6 papers)Lipid Membrane Structure and Behavior (5 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Xiangyuan He

18 papers receiving 672 citations

Peers

Xiangyuan He
Comparison fields: 5 of 66
  • Molecular Biology 374
  • Physiology 350
  • Cell Biology 300
  • Pharmacology 107
  • Cellular and Molecular Neuroscience 86
Replace Olivera M. Grbovic with:
Olivera M. Grbovic United States
Sungmin Song South Korea
Sanjiv Shah United States
Raja Bhattacharyya United States
Junko Fujita‐Yoshigaki Japan
Cristina Ploia Italy
Debra J. Gawler United Kingdom
Elie Needle United States
Elvira Lopez‐Perez France
Kai Prager Germany
Xiangyuan He relative to Olivera M. Grbovic United States Olivera M. Grbovic's profile →
Citations per field
00.5×3.2×
Olivera M. Grbovic · 1×
Citations per year

Countries citing papers authored by Xiangyuan He

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyuan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyuan He

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 30
5 2
6 90
7 2
8 198
9 19
10 76
11 6
12 18
13 20
14 26
15 29
16 64
17 98
18
[Cloning and expression of a thermostable beta-glycosidase gene from Thermus nonproteolyticus HG102].
1
19 3

About Xiangyuan He

Xiangyuan He is a scholar working on Cell Biology, Biotechnology and Physiology, having authored 19 papers that have together received 686 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Alzheimer's disease research and treatments (6 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Cell Biology (300 citations), Physiology (350 citations) and Physiology (36 citations). Xiangyuan He has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Jordan Tang, Wan‐Pin Chang, Feng Li, Gerald Koelsch, Guangyu Zhu, Xuejun C. Zhang, Nassrin Dashti, Charlotte Hiu-Yan Chung, Karla K. Rodgers and Peng Zhai. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The EMBO Journal.

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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