Lang Wang

2.2k citations
47 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Lang Wang

44 papers receiving 1.1k citations

Lang Wang's Hit Papers

Microglia mediate forgetting via complement-dependent synaptic elimination 2020 · 415 citations
4150+2+4Years since publication100200300400

Peers

Lang Wang
Comparison fields: 5 of 121
  • Neurology 380
  • Developmental Neuroscience 108
  • Biological Psychiatry 64
  • Cellular and Molecular Neuroscience 350
  • Behavioral Neuroscience 56
Replace Mark Pickering with:
Mark Pickering Ireland
Zhen Xu China
Vanessa Morais Sardinha Portugal
Ennio Iezzi Italy
Sarah A. Woller United States
Chang-Qi Li China
Peiyan Shan China
Keith K. Fenrich Canada
Cheng Zhou China
David A. Mahns Australia
Lang Wang relative to Mark Pickering Ireland Mark Pickering's profile →
Citations per field
00.5×3.2×
Mark Pickering · 1×
Citations per year

Countries citing papers authored by Lang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microglia mediate forgetting via complement-dependent synaptic elimination
Hit paper breakdown →
2020415
2 2015115
3 201465
4 200642
5 201334
6 201433
7 201329
8 200929
9 202228
10 201928
11 201026
12 202025
13 202124
14 201523
15 200821
16 202019
17 202114
18 200612
19 200811
20 201911

About Lang Wang

Lang Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Molecular Biology and Civil and Structural Engineering, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (4 papers), Ion channel regulation and function (4 papers), Concrete and Cement Materials Research (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (380 citations), Developmental Neuroscience (108 citations), Biological Psychiatry (64 citations), Cellular and Molecular Neuroscience (350 citations) and Behavioral Neuroscience (56 citations). Lang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Arianna Maffei, Yan Gu, Chao Wang, Zhechun Hu, Xiaodong Wang, Huimin Yue, Jiao Ma, Yuwen Shen, Jie Li and Peng Shi. Their work appears in journals such as Materials, Journal of Neuroscience, Experimental Neurology, Buildings and Information Sciences.

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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