Na Yang

1.2k citations
68 papers · 798 · h-index 16

Impact in

    • Lysosomal Storage Disorders Research
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Retinoids in leukemia and cellular processes 3
    • Cancer therapeutics and mechanisms 3
    • RNA Interference and Gene Delivery 2
    • HER2/EGFR in Cancer Research 3

Na Yang

58 papers receiving 791 citations

Peers

Na Yang
Comparison fields: 5 of 104
  • Physiology 135
  • Neurology 72
  • Cell Biology 83
  • Cancer Research 66
  • Obstetrics and Gynecology 31
Replace Fahimeh Varzideh with:
Fahimeh Varzideh United States
Elif Güzel Türkiye
Ling Long China
Stephen F. Rodrigues Brazil
Shuwen Deng China
Xiaoyu Wang China
Yongfeng Wang China
Gabriele Ruth Anisah Froemming Malaysia
Na Yang relative to Fahimeh Varzideh United States Fahimeh Varzideh's profile →
Citations per field
00.5×10×20×34×
Fahimeh Varzideh · 1×
Citations per year

Countries citing papers authored by Na Yang

Since Specialization
Citations

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

Fields of papers citing papers by Na Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201595
2 202376
3 200942
4 201539
5 201539
6 201534
7 201032
8 202331
9 201531
10 202228
11 201325
12 202325
13 201618
14 201918
15 201617
16 201716
17 202415
18 202514
19 202414
20 202413

About Na Yang

Na Yang is a scholar working on Molecular Biology, Oncology, Physiology, Biotechnology and Organic Chemistry, having authored 68 papers that have together received 798 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (6 papers), Lung Cancer Treatments and Mutations (4 papers), Retinoids in leukemia and cellular processes (3 papers), HER2/EGFR in Cancer Research (3 papers), Magnetic and Electromagnetic Effects (3 papers), Cancer therapeutics and mechanisms (3 papers), RNA Interference and Gene Delivery (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Physiology (135 citations), Neurology (72 citations), Cell Biology (83 citations), Cancer Research (66 citations) and Obstetrics and Gynecology (31 citations). Na Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Cheol-Soon Lee, Seung‐Jae Lee, S. Pablo Sardi, Seokjoong Kim, Eun-Jin Bae, He-Jin Lee, Aiguo Ren, Jian Ding, Rongwei Ye and Zhiwen Li. Their work appears in journals such as Food Bioscience, Virology, Innovative Food Science & Emerging Technologies, Archives of Women s Mental Health and European Journal of Medicinal Chemistry.

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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