Libang Yang

2.2k citations
31 papers · 1.7k indexed · h-index 16

Impact in

Papers in

Libang Yang

30 papers receiving 1.7k citations

Peers

Libang Yang
Comparison fields: 5 of 104
  • Neurology 287
  • Biological Psychiatry 81
  • Physiology 627
  • Cellular and Molecular Neuroscience 212
  • Pharmacology 176
Replace Hitomi Kurinami with:
Hitomi Kurinami Japan
H. Lannert Germany
Satoshi Tsunoda Japan
Hai-dong Guo China
Fernando Ezquer Chile
Haigang Ren China
Lisa Smithson United States
Min‐Young Noh South Korea
Virginia Hovanesian United States
Nobutaka Koibuchi Japan
Libang Yang relative to Hitomi Kurinami Japan Hitomi Kurinami's profile →
Citations per field
00.5×1.5×1.9×
Hitomi Kurinami · 1×
Citations per year

Countries citing papers authored by Libang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Libang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 202412
4 20241
5 202312
6 202337
7 20235
8 20228
9 202211
10 202119
11 202026
12 201775
13 201766
14 2017254
15 2017123
16 201653
17 201610
18 201342
19 201132
20 2002201

About Libang Yang

Libang Yang is a scholar working on Biological Psychiatry, Neurology, Pulmonary and Respiratory Medicine, Physiology and Molecular Biology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Medical Imaging and Pathology Studies (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Alzheimer's disease research and treatments (4 papers), Occupational and environmental lung diseases (4 papers), Neonatal Respiratory Health Research (3 papers), Congenital heart defects research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (287 citations), Biological Psychiatry (81 citations), Physiology (627 citations), Cellular and Molecular Neuroscience (212 citations) and Pharmacology (176 citations). Libang Yang has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Rena Li, Kristina Lindholm, Yong Shen, Yoshihiro Konishi, Adam Gilbertsen, Craig A. Henke, Jianyi Zhang, Donald D. Price, Lucia I. Sue and Huaibin Cai. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Circulation Research, Journal of Neuroscience, International Journal of Molecular Sciences and JCI Insight.

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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