Long Wang

2.8k citations
76 papers · 1.1k · h-index 20

Impact in

    • Tryptophan and brain disorders
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Long Wang

74 papers receiving 1.1k citations

Peers

Long Wang
Comparison fields: 5 of 99
  • Biological Psychiatry 74
  • Neurology 83
  • Behavioral Neuroscience 34
  • Cancer Research 132
  • Developmental Neuroscience 29
Replace Gee Euhn Choi with:
Gee Euhn Choi South Korea
Xiaoyan Zhou China
Laura Rizzi Italy
Juan Ji China
Shun Wang China
Cecil E. Kirkland Russia
Kai Zhong China
Xiaojie Zhang China
Zhengrong Zhang China
Long Wang relative to Gee Euhn Choi South Korea Gee Euhn Choi's profile →
Citations per field
00.5×3.5×
Gee Euhn Choi · 1×
Citations per year

Countries citing papers authored by Long Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2
Systemic delivery to central nervous system by engineered PLGA nanoparticles.
201674
3 201863
4 202238
5 201736
6 201735
7 202234
8 201633
9 202129
10
EFEMP2 is upregulated in gliomas and promotes glioma cell proliferation and invasion.
201529
11 201825
12 202124
13 202423
14 202123
15 201822
16 201722
17 202322
18 201321
19 202120
20 201920

About Long Wang

Long Wang is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Neurology and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Tryptophan and brain disorders (5 papers), Ferroptosis and cancer prognosis (4 papers), Neuroscience and Neural Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Treatment of Major Depression (3 papers). The work is most often cited by research in Biological Psychiatry (74 citations), Neurology (83 citations), Behavioral Neuroscience (34 citations), Cancer Research (132 citations) and Developmental Neuroscience (29 citations). Long Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qianxue Chen, Daofeng Tian, Qiang Cai, Baohui Liu, Li Ma, Shenqi Zhang, Xia Pan, Zhibiao Chen, Xi Wang and Zhibiao Chen. Their work appears in journals such as Neuropharmacology, Frontiers in Genetics, Biochemical and Biophysical Research Communications, Brain Research and Cell Biochemistry and Biophysics.

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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