Feng Bian

1.9k citations
16 papers · 1.6k · h-index 11

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 4
    • Ion channel regulation and function 2
    • TGF-β signaling in diseases 1
    • Alzheimer's disease research and treatments 5
    • Pain Mechanisms and Treatments 2

Feng Bian

16 papers receiving 1.5k citations

Peers

Feng Bian
Comparison fields: 5 of 97
  • Neurology 469
  • Developmental Neuroscience 142
  • Cellular and Molecular Neuroscience 563
  • Physiology 673
  • Sensory Systems 114
Replace Verónica Abudara with:
Verónica Abudara Uruguay
Christian Madry Germany
Kevin D. Phelan United States
Misty J. Eaton Puerto Rico
M. Markerink–van Ittersum Netherlands
Ariel R. Ase Canada
R. D. Terry United States
Philippe G. Vallet Switzerland
Hisao Tago Canada
Christiane Frahm Germany
Feng Bian relative to Verónica Abudara Uruguay Verónica Abudara's profile →
Citations per field
00.5×3.1×
Verónica Abudara · 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

16 of 16 papers shown
#Work
1 1998326
2 2000313
3 2001234
4 1995172
5 2006128
6 2011119
7 200280
8 200271
9 199654
10 200226
11 200123
12 20086
13 20216
14 20114
15 20184
16 20201

About Feng Bian

Feng Bian is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Dermatology, having authored 16 papers that have together received 1.6k 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), Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Dermatologic Treatments and Research (1 paper), Nerve injury and regeneration (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Neurology (469 citations), Developmental Neuroscience (142 citations), Cellular and Molecular Neuroscience (563 citations), Physiology (673 citations) and Sensory Systems (114 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, Sebastiaan K. E. Koekkoek, Adriaan M. van Alphen and Chris I. De Zeeuw. Their work appears in journals such as Molecular and Cellular Neuroscience, Journal of Neuroscience, Brain Research, Plastic & Reconstructive Surgery and European Journal of Pharmacology.

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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