Na Qu

1.7k citations
56 papers · 754 indexed · h-index 14

Impact in

Papers in

    • RNA modifications and cancer 4
    • Cancer Cells and Metastasis 4
    • Cancer-related Molecular Pathways 3

Na Qu

54 papers receiving 740 citations

Peers

Na Qu
Comparison fields: 5 of 115
  • Biomaterials 141
  • Cancer Research 111
  • Pharmaceutical Science 34
  • Molecular Biology 365
  • Virology 23
Replace Elena Karnaukhova with:
Elena Karnaukhova United States
María Victoria Aguirre Argentina
Patricia García‐López Mexico
Fuying Li China
Jungshan Chang Taiwan
Armando Cevenini Italy
Raymond A. Bendele United States
Gérald Tuffin Switzerland
Mengyu Chen China
Pantea Izadi Iran
Na Qu relative to Elena Karnaukhova United States Elena Karnaukhova's profile →
Citations per field
00.5×4.8×
Elena Karnaukhova · 1×
Citations per year

Countries citing papers authored by Na Qu

Since Specialization
Citations

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

Fields of papers citing papers by Na Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 202262
3 201958
4 201656
5 202453
6 201649
7 201041
8 201632
9 201927
10 202224
11 202221
12 201821
13 202020
14 201618
15 201912
16 202411
17 202111
18 201910
19 201110
20 20219

About Na Qu

Na Qu is a scholar working on Molecular Biology, Oncology, Psychiatry and Mental health, Epidemiology and Immunology, having authored 56 papers that have together received 754 indexed citations. Recurring topics across this work include Cancer, Stress, Anesthesia, and Immune Response (8 papers), Autophagy in Disease and Therapy (5 papers), Neuropeptides and Animal Physiology (5 papers), Cancer Cells and Metastasis (4 papers), Nanoparticle-Based Drug Delivery (4 papers), RNA modifications and cancer (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Biomaterials (141 citations), Cancer Research (111 citations), Pharmaceutical Science (34 citations), Molecular Biology (365 citations) and Virology (23 citations). Na Qu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lesheng Teng, Congying Wang, Ming Zhang, Yating Sun, Ben‐Zhan Zhu, Chengxia Kan, Xiaodong Sun, Fengping Shan, Liang‐Hong Guo and Ningning Hou. Their work appears in journals such as International Immunopharmacology, Biochemical Pharmacology, Proceedings of the National Academy of Sciences, International Journal of Nanomedicine and Frontiers in Pharmacology.

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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