Xiaoxuan Sun

1.4k citations
70 papers · 858 · h-index 18

Impact in

Papers in

Xiaoxuan Sun

63 papers receiving 855 citations

Peers

Xiaoxuan Sun
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 98
  • Rheumatology 66
  • Neurology 60
  • Molecular Biology 266
  • Immunology 76
Replace Hong Lim Kim with:
Hong Lim Kim South Korea
Chunhui Wang China
Huiyi Chen United States
Michio Sato Japan
Kate L. Weeks Australia
Hee-Sun Choi South Korea
Qi He China
Yisheng Zhong China
Hualin Sun China
Xiaoxuan Sun relative to Hong Lim Kim South Korea Hong Lim Kim's profile →
Citations per field
00.5×1.5×2.3×
Hong Lim Kim · 1×
Citations per year

Countries citing papers authored by Xiaoxuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoxuan Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoxuan Sun Line = papers co-authored together Xiaoxuan Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 201542
3 202041
4 202140
5 202337
6 201537
7 201836
8 201536
9 202230
10 201625
11 202324
12 202123
13 201923
14 202120
15 201920
16 202020
17 202119
18 202018
19 201517
20 202216

About Xiaoxuan Sun

Xiaoxuan Sun is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Plant Science and Rheumatology, having authored 70 papers that have together received 858 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Electrocatalysts for Energy Conversion (4 papers), Salivary Gland Disorders and Functions (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (98 citations), Rheumatology (66 citations), Neurology (60 citations), Molecular Biology (266 citations) and Immunology (76 citations). Xiaoxuan Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Miaojia Zhang, Qiang Wang, Wenfeng Tan, Zhuan Zhou, Ningli Li, Yuhang Jia, Jun Li, Denghui Li, Li Zhou and Changhe Wang. Their work appears in journals such as Lara D. Veeken, Science Advances, Arthritis Research & Therapy, Pesticide Biochemistry and Physiology and Molecular Psychiatry.

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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