Feng Bian

2.0k citations
17 papers · 1.7k · h-index 12

Impact in

  • Neurology top 2%
    • Vestibular and auditory disorders
    • Neurological diseases and metabolism
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Alzheimer's disease research and treatments 5
    • Pain Mechanisms and Treatments 2
    • Wound Healing and Treatments 2

Feng Bian

17 papers receiving 1.7k citations

Peers

Feng Bian
Comparison fields: 5 of 96
  • Neurology 489
  • Developmental Neuroscience 152
  • Cellular and Molecular Neuroscience 589
  • Physiology 685
  • Sensory Systems 120
Replace Kei Eto with:
Kei Eto Japan
Verónica Abudara Uruguay
Christian Madry Germany
Misty J. Eaton Puerto Rico
R. D. Terry United States
Sabino Vesce Italy
Marı́a-Dolores Muñoz Spain
Philippe G. Vallet Switzerland
Javad Mirnajafi‐Zadeh Iran
Keisuke Shibata Japan
Feng Bian relative to Kei Eto Japan Kei Eto's profile →
Citations per field
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Kei Eto · 1×
Citations per year

Countries citing papers authored by Feng Bian

Since Specialization
Citations

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

Fields of papers citing papers by Feng Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1998359
2 2000330
3 2001251
4 1995186
5 2006136
6 2011130
7 200287
8 200278
9 199659
10 200228
11 200125
12 201212
13 20217
14 20185
15 20115
16 20085
17 20201

About Feng Bian

Feng Bian is a scholar working on Physiology, Rehabilitation, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (4 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pain Mechanisms and Treatments (2 papers), Wound Healing and Treatments (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Neurology (489 citations), Developmental Neuroscience (152 citations), Cellular and Molecular Neuroscience (589 citations), Physiology (685 citations) and Sensory Systems (120 citations). Feng Bian has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Lary C. Walker, William J. Lipinski, Michael J. Callahan, Robert A. Durham, John Oberdick, Alex E. Roher, Christian Hansel, Adriaan M. van Alphen, Chris I. De Zeeuw and Sebastiaan K. E. Koekkoek. Their work appears in journals such as Molecular and Cellular Neuroscience, Neuron, European Journal of Pharmacology, Peptides and Cellular and Molecular Biology.

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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