Qin Yang

928 citations
36 papers · 721 · h-index 14

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Heat shock proteins research 1

Qin Yang

34 papers receiving 707 citations

Peers

Qin Yang
Comparison fields: 5 of 79
  • Cancer Research 114
  • Ophthalmology 79
  • Hepatology 56
  • Oncology 136
  • Drug Discovery 1
Replace Michel Janicot with:
Michel Janicot United States
Yaling Long China
Gang Han China
Yunkai Yang China
Jun Tan China
Edwin Aaron Runkle United States
Jingtao Zhong China
Juan Yang China
Mariela Claudia Marazita Argentina
Hiroshi Isomura Japan
Qin Yang relative to Michel Janicot United States Michel Janicot's profile →
Citations per field
00.5×2×4×6.8×
Michel Janicot · 1×
Citations per year

Countries citing papers authored by Qin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020169
2 201560
3 202155
4 201751
5 201949
6 201235
7 201834
8 201526
9 202118
10 202217
11 201016
12 202016
13 202216
14
The G401D mutation of OPA1 causes autosomal dominant optic atrophy and hearing loss in a Chinese family.
200614
15 201614
16 202014
17 201612
18 202212
19 202312
20 20199

About Qin Yang

Qin Yang is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Nephrology and Ophthalmology, having authored 36 papers that have together received 721 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), MicroRNA in disease regulation (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Lung Cancer Treatments and Mutations (1 paper), Heat shock proteins research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (114 citations), Ophthalmology (79 citations), Hepatology (56 citations), Oncology (136 citations) and Drug Discovery (1 citation). Qin Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jing Liu, Qinghuai Liu, Ping Xie, Songtao Yuan, Zi Wang, Wen-Jie Cao, Haixia Cheng, Yu Liu, Jonathan G. Shaw and Zizhong Hu. Their work appears in journals such as Oncotarget, Aging, Frontiers in Immunology, Molecular Therapy — Nucleic Acids and Biomedical Reports.

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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