JS Yang

682 citations
15 papers · 579 indexed · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

JS Yang

15 papers receiving 569 citations

Peers

JS Yang
Comparison fields: 5 of 86
  • Cancer Research 407
  • Molecular Biology 432
  • Hematology 22
  • Immunology 33
  • Pulmonary and Respiratory Medicine 48
Replace Maria Elena Sana with:
Maria Elena Sana Italy
Ken C. Lo United States
Zunde Wang United States
Liting Lv China
Josianne Payette Canada
Dongtao Fu United States
K Yanagisawa Japan
Audrey Sermeus Belgium
JS Yang relative to Maria Elena Sana Italy Maria Elena Sana's profile →
Citations per field
00.5×2.8×
Maria Elena Sana · 1×
Citations per year

Countries citing papers authored by JS Yang

Since Specialization
Citations

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

Fields of papers citing papers by JS Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside JS 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 JS Yang Line = papers co-authored together JS Yang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2011257
2 2014212
3 201423
4 199218
5 200616
6
The clinical diagnosis of splenomegaly.
199115
7 199213
8 20157
9 20197
10
Akaz greenschist, West Kunlun: Within-plate basalt contaminated by continental crust origin of the Akaz greenschist (metabasalt), West Kunlun: Accreted seamount or continental rift basalt?
20053
11 20153
12
Psycho-Physiological Evaluation of Driver Safety Reliability
20042
13
Modifications of norditerpenoid alkaloids: I. N-deethylation reactions
19991
14 19921
15
Structure of 6-epiforsticine and revision of the stereochemistry of forsticine
20001

About JS Yang

JS Yang is a scholar working on Developmental Neuroscience, Ecological Modeling, Pharmacology, Cell Biology and Hematology, having authored 15 papers that have together received 579 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Advanced Synthetic Organic Chemistry (2 papers), Platelet Disorders and Treatments (2 papers), Plant-based Medicinal Research (2 papers), MicroRNA in disease regulation (1 paper), Safety and Risk Management (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Cancer Research (407 citations), Molecular Biology (432 citations), Hematology (22 citations), Immunology (33 citations) and Pulmonary and Respiratory Medicine (48 citations). JS Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zixuan Wang, Wei De, Ruirui Wang, Xuan Pan, Ming Sun, Xiang-hua Liu, Renyi Kong, Erbao Zhang, Lijuan Xu and Ran Xia. Their work appears in journals such as Blood, Cell Death and Disease, British Journal of Radiology, Zhongguo gonglu xuebao and Geotechnical Testing Journal.

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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