Changlin Wang

929 citations
49 papers · 694 · h-index 16

Impact in

Papers in

Changlin Wang

49 papers receiving 671 citations

Peers

Changlin Wang
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 245
  • Physiology 140
  • Developmental Neuroscience 18
  • Molecular Biology 254
  • Health, Toxicology and Mutagenesis 37
Replace Qingqing Shi with:
Qingqing Shi China
Bram van der Gaag Netherlands
Mengran Zhang China
Deepa B. Rao United States
Haixia Yu China
Chris C. Stowers United States
Koji Tsuji Japan
Dongwoo Kim South Korea
Changlin Wang relative to Qingqing Shi China Qingqing Shi's profile →
Citations per field
00.5×6.8×
Qingqing Shi · 1×
Citations per year

Countries citing papers authored by Changlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201564
2 200662
3 201959
4 202435
5 200730
6 200827
7 200523
8 202422
9 201522
10 202220
11 201920
12 201620
13 201919
14 200618
15 200717
16 200516
17 201715
18 201514
19 199713
20 201012

About Changlin Wang

Changlin Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Materials Chemistry and Civil and Structural Engineering, having authored 49 papers that have together received 694 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Pain Mechanisms and Treatments (16 papers), Receptor Mechanisms and Signaling (10 papers), Biochemical and Structural Characterization (7 papers), Nanoparticles: synthesis and applications (4 papers), Coccidia and coccidiosis research (3 papers), Adipose Tissue and Metabolism (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (245 citations), Physiology (140 citations), Developmental Neuroscience (18 citations), Molecular Biology (254 citations) and Health, Toxicology and Mutagenesis (37 citations). Changlin Wang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Rui Wang, Ning Gu, Ye Yu, Hongmei Liu, Yun Cui, Yuri Oh, Hailong Hu, Qian Guo, Qiong Wu and Yujie Feng. Their work appears in journals such as Peptides, European Journal of Pharmacology, Neuropeptides, Bioorganic & Medicinal Chemistry and Environmental Toxicology.

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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