Bin Xing

1.8k citations
55 papers · 1.4k · h-index 18

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Melanoma and MAPK Pathways 3
    • interferon and immune responses 6
    • Immune Response and Inflammation 5
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 3

Bin Xing

53 papers receiving 1.3k citations

Peers

Bin Xing
Comparison fields: 5 of 119
  • Neurology 337
  • Developmental Neuroscience 130
  • Biological Psychiatry 60
  • Cellular and Molecular Neuroscience 407
  • Physiology 43
Replace Vicki Waetzig with:
Vicki Waetzig Germany
Arundhati Jana United States
Edel Kavanagh Sweden
Ron J. Bouchard United States
Ja-Kyeong Lee South Korea
Wei‐Lan Yeh Taiwan
Sung‐Jen Wei United States
Fabìola Puentes United Kingdom
Bin Xing relative to Vicki Waetzig Germany Vicki Waetzig's profile →
Citations per field
00.5×2.7×
Vicki Waetzig · 1×
Citations per year

Countries citing papers authored by Bin Xing

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 2011216
3 2008108
4 202180
5 201180
6 200765
7 201364
8 201749
9 201146
10 201435
11 200732
12 201632
13 201031
14 201126
15 202325
16 201322
17 200519
18 200317
19 201817
20 201316

About Bin Xing

Bin Xing is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Neurology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (5 papers), Nerve injury and regeneration (4 papers), Immune cells in cancer (4 papers), Melanoma and MAPK Pathways (3 papers), Immune Cell Function and Interaction (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Neurology (337 citations), Developmental Neuroscience (130 citations), Biological Psychiatry (60 citations), Cellular and Molecular Neuroscience (407 citations) and Physiology (43 citations). Bin Xing has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Linda J. Van Eldik, Adam D. Bachstetter, Guoying Bing, D. Martin Watterson, Edgardo Dimayuga, Lúcia de Almeida, Tao Xin, Randy L. Hunter, Daniel Fisher and Mei Liu. Their work appears in journals such as PLoS ONE, Poultry Science, Journal of Neuroinflammation, Journal of Neuroimmunology and Glia.

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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