Biao Yang

723 citations
22 papers · 552 · h-index 13

Impact in

Papers in

Biao Yang

20 papers receiving 548 citations

Peers

Biao Yang
Comparison fields: 5 of 79
  • Pathology and Forensic Medicine 204
  • Developmental Neuroscience 35
  • Cellular and Molecular Neuroscience 130
  • Organic Chemistry 114
  • Pharmacology 55
Replace Yuan Jiang with:
Yuan Jiang United States
Ilaria Caron Italy
Zhisheng Ji China
Daniela Triolo Italy
Christopher Pritchard United States
Peishan Liu‐Snyder United States
Jiawei Shu China
Jia Nong United States
Tianci Chu China
Biao Yang relative to Yuan Jiang United States Yuan Jiang's profile →
Citations per field
00.5×6.6×
Yuan Jiang · 1×
Citations per year

Countries citing papers authored by Biao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Biao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 202185
3 202059
4 201751
5 202333
6 202231
7 201829
8 202229
9 202026
10 202220
11 202518
12 202315
13 202415
14 202112
15 202212
16 202411
17 20249
18 20124
19 20232
20 20221

About Biao Yang

Biao Yang is a scholar working on Pathology and Forensic Medicine, Organic Chemistry, Molecular Biology, Pharmacology and Orthopedics and Sports Medicine, having authored 22 papers that have together received 552 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (5 papers), Radical Photochemical Reactions (5 papers), Spine and Intervertebral Disc Pathology (5 papers), Spinal Cord Injury Research (4 papers), Musculoskeletal pain and rehabilitation (3 papers), Sulfur-Based Synthesis Techniques (3 papers), Advanced Memory and Neural Computing (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (204 citations), Developmental Neuroscience (35 citations), Cellular and Molecular Neuroscience (130 citations), Organic Chemistry (114 citations) and Pharmacology (55 citations). Biao Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kaishun Xia, Qixin Chen, Fangcai Li, Chenggui Wang, Xianpeng Huang, Kesi Shi, Chengzhen Liang, Feng Cheng, Jingkai Wang and Liwei Ying. Their work appears in journals such as Bioactive Materials, Organic Letters, Nature Communications, Oxidative Medicine and Cellular Longevity and Atmospheric Environment.

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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