Feng Yang

4.5k citations
162 papers · 3.3k · h-index 28

Impact in

Papers in

Feng Yang

150 papers receiving 3.3k citations

Peers

Feng Yang
Comparison fields: 5 of 171
  • Developmental Neuroscience 525
  • Cellular and Molecular Neuroscience 1.5k
  • Biological Psychiatry 77
  • Behavioral Neuroscience 75
  • Neurology 149
Replace Wu Ma with:
Wu Ma United States
Xiao‐Xin Yan China
Brian Bates United States
Ye He China
Jens Christian Hedemann Sørensen Denmark
Keiko Yamada Japan
Ulrika Marklund Sweden
Haiwei Xu China
Zhi‐Cheng Xiao China
Johannes Schwarz Germany
Feng Yang relative to Wu Ma United States Wu Ma's profile →
Citations per field
00.5×12.3×
Wu Ma · 1×
Citations per year

Countries citing papers authored by Feng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010292
2 2001176
3 2000158
4 2012155
5 2009121
6 2010119
7 2009113
8 2013106
9 2001106
10 200394
11 200193
12 201888
13 200982
14 200273
15 200371
16 202271
17 201770
18 200069
19 201565
20 201164

About Feng Yang

Feng Yang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Mechanics of Materials, Electrical and Electronic Engineering and Surgery, having authored 162 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (14 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuroscience and Neural Engineering (10 papers), Spinal Fractures and Fixation Techniques (9 papers), Rock Mechanics and Modeling (8 papers), Antenna Design and Analysis (7 papers) and Geophysical Methods and Applications (6 papers). The work is most often cited by research in Developmental Neuroscience (525 citations), Cellular and Molecular Neuroscience (1.5k citations), Biological Psychiatry (77 citations), Behavioral Neuroscience (75 citations) and Neurology (149 citations). Feng Yang has collaborated with scholars based in China, United States and Cameroon. Frequent co-authors include Bai Lu, Yuanyuan Ji, Linyin Feng, H. Shawn Je, Jing Du, Xiangping He, Guhan Nagappan, Barbara L. Hempstead, Yuan Lü and James T. Russell. Their work appears in journals such as The Journal of Cell Biology, Molecular Psychiatry, Journal of Neuroscience, Nature Neuroscience and European Spine 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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