Linbo Wang

2.1k citations
64 papers · 1.3k · h-index 19

Impact in

Papers in

    • Pain Mechanisms and Treatments 5
    • Parkinson's Disease Mechanisms and Treatments 8

Linbo Wang

62 papers receiving 1.3k citations

Peers

Linbo Wang
Comparison fields: 5 of 143
  • Physiology 321
  • Statistics and Probability 89
  • Neurology 80
  • Cellular and Molecular Neuroscience 154
  • Biological Psychiatry 19
Replace Simon T. Bate with:
Simon T. Bate United Kingdom
Angela Wilson United States
Manuel Sarasa Spain
Pedro Pesini Spain
Xiao Li China
Kim Kultima Sweden
Marie‐Gabrielle Zurich Switzerland
Oksana Kosyk United States
William S. Redfern United Kingdom
Steven F. Grieco United States
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Citations per field
00.5×10×13.3×
Simon T. Bate · 1×
Citations per year

Countries citing papers authored by Linbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005169
2 2007162
3 201893
4 201874
5 202263
6 202358
7 201446
8 201542
9 200841
10 201635
11 201330
12 202425
13 202025
14 201924
15 201723
16 200522
17 202320
18 202319
19 201218
20 202417

About Linbo Wang

Linbo Wang is a scholar working on Physiology, Neurology, Plant Science, Statistics and Probability and Psychiatry and Mental health, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Advanced Causal Inference Techniques (7 papers), Statistical Methods and Inference (6 papers), Dementia and Cognitive Impairment Research (6 papers), Pain Mechanisms and Treatments (5 papers), Statistical Methods and Bayesian Inference (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Physiology (321 citations), Statistics and Probability (89 citations), Neurology (80 citations), Cellular and Molecular Neuroscience (154 citations) and Biological Psychiatry (19 citations). Linbo Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lixing Lao, Brian Berman, Bing Liu, Ke Ren, Rui-Xin Zhang, Jian‐Tian Qiao, Wei Cheng, Aihui Li, Thomas S. Richardson and Hong Mā. Their work appears in journals such as Neurology, Biometrika, Molecular Psychiatry, Epidemiology and Nature Communications.

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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