Barbara Yang

2.4k citations
32 papers · 567 · h-index 14

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Enzyme Production and Characterization

Papers in

    • Sphingolipid Metabolism and Signaling 3
    • Signaling Pathways in Disease 3
    • Asthma and respiratory diseases 5
    • Lysosomal Storage Disorders Research 3

Barbara Yang

29 papers receiving 552 citations

Peers

Barbara Yang
Comparison fields: 5 of 80
  • Neurology 103
  • Neurology 58
  • Biotechnology 57
  • Biological Psychiatry 14
  • Immunology 93
Replace Takafumi Ogawa with:
Takafumi Ogawa Japan
Leihua Weng China
Daniel Pirici Romania
Tarik Touil Morocco
Ryosuke Takano Japan
Su‐Yeong Seo South Korea
Sheng Chen China
Dae‐Yong Kim South Korea
Xianning Zhang China
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Citations per field
00.5×6.1×
Takafumi Ogawa · 1×
Citations per year

Countries citing papers authored by Barbara Yang

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201187
2 201664
3 201562
4 201943
5 201936
6 201731
7 200923
8 202022
9 202221
10 201921
11 201920
12 201818
13 201918
14 202215
15 201713
16 201813
17 201912
18 201912
19 20168
20 20117

About Barbara Yang

Barbara Yang is a scholar working on Molecular Biology, Physiology, Neurology, Immunology and Cancer Research, having authored 32 papers that have together received 567 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Drug-Induced Adverse Reactions (5 papers), Asthma and respiratory diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Signaling Pathways in Disease (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Neurology (103 citations), Neurology (58 citations), Biotechnology (57 citations), Biological Psychiatry (14 citations) and Immunology (93 citations). Barbara Yang has collaborated with scholars based in United States, Taiwan and Brazil. Frequent co-authors include Mariana Castells, Ruth G. Perez, Javier Vargas‐Medrano, Shuo‐Fu Yuan, Po‐Huang Liang, Tuyet‐Hang Pham, Raphaela Goldbach‐Mansky, David X. Medina, Massimo Gadina and Meng‐Chiao Ho. Their work appears in journals such as Journal of Biological Chemistry, Neuropharmacology, Allergy, Annals of Allergy Asthma & Immunology and Journal of Visualized Experiments.

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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