Xuting Bian

827 citations
25 papers · 602 · h-index 11

Impact in

Papers in

Xuting Bian

22 papers receiving 598 citations

Peers

Xuting Bian
Comparison fields: 5 of 72
  • Orthopedics and Sports Medicine 241
  • Rehabilitation 52
  • Developmental Neuroscience 20
  • Genetics 43
  • Molecular Biology 257
Replace Ashley G. Goodman with:
Ashley G. Goodman United States
Samir M. Abdelmagid United States
Stefanie Korntner Ireland
Paolo Alberton Germany
Toshiki Miura Japan
Susann Minkwitz Germany
Koshi N. Kishimoto Japan
Xuelei Wei China
Xuting Bian relative to Ashley G. Goodman United States Ashley G. Goodman's profile →
Citations per field
00.5×5.2×
Ashley G. Goodman · 1×
Citations per year

Countries citing papers authored by Xuting Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xuting Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xuting Bian, 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 Xuting Bian Line = papers co-authored together Xuting Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 2020106
3 201883
4 201872
5 202151
6 201932
7 202428
8 201919
9 202012
10 202112
11 202211
12 202010
13 20237
14 20217
15 20247
16 20246
17 20244
18 20194
19 20164
20 20242

About Xuting Bian

Xuting Bian is a scholar working on Orthopedics and Sports Medicine, Surgery, Rehabilitation, Molecular Biology and Biomaterials, having authored 25 papers that have together received 602 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (16 papers), Sports injuries and prevention (6 papers), Exercise and Physiological Responses (4 papers), Shoulder Injury and Treatment (3 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Silk-based biomaterials and applications (1 paper), Knee injuries and reconstruction techniques (1 paper) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (241 citations), Rehabilitation (52 citations), Developmental Neuroscience (20 citations), Genetics (43 citations) and Molecular Biology (257 citations). Xuting Bian has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Kanglai Tang, Yunjiao Wang, Youxing Shi, Gang He, Mei Zhou, Xia Kang, Mingyu Yang, Hong Tang, Binghua Zhou and Wan Chen. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Journal of Orthopaedic Surgery and Research, Cell stem cell, Bone and Joint Research and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact