Q. L. Niu

5.4k citations
279 papers · 3.8k indexed · h-index 33

Q. L. Niu

261 papers receiving 3.7k citations

Peers

Q. L. Niu
Comparison fields: 5 of 156
  • Health, Toxicology and Mutagenesis 904
  • Developmental Neuroscience 146
  • Polymers and Plastics 366
  • Molecular Medicine 121
  • Plant Science 896
Replace John J. Schlager with:
John J. Schlager United States
Agnes B. Kane United States
Yi Cao China
Martin A. Philbert United States
Anna A. Shvedova United States
Meng Tang China
Ji‐Eun Kim South Korea
Lin Cui China
Lina Ghibelli Italy
Aditya B. Pant India
Q. L. Niu relative to John J. Schlager United States John J. Schlager's profile →
Citations per field
00.5×3.4×
John J. Schlager · 1×
Citations per year

Countries citing papers authored by Q. L. Niu

Since Specialization
Citations

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

Fields of papers citing papers by Q. L. Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Q. L. Niu. 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 Q. L. Niu. The network helps show where Q. L. Niu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20252
5 20252
6 20240
7 20240
8 20243
9 202329
10 20231
11 20232
12 20232
13 202115
14
Effect of LncPVT1/miR-20a-5p on Lipid Metabolism and Insulin Resistance in NAFLD
20211
15 202125
16
Risk Factors and a Nomogram for Predicting Intracranial Hemorrhage in Stroke Patients Undergoing Thrombolysis
20201
17
Circ_0000376, a Novel circRNA, Promotes the Progression of Non-Small Cell Lung Cancer Through Regulating the miR-1182/NOVA2 Network
20201
18 201914
19
Exposure to electromagnetic fields aboard high-speed electric multiple unit trains.
20172
20
[Study of the correlation between polycyclic aromatic hydrocarbons exposure during pregnancy and neonatal neurobehavioral development in Taiyuan and Changzhi cities].
20122

About Q. L. Niu

Q. L. Niu is a scholar working on Developmental Neuroscience, Health, Toxicology and Mutagenesis and Plant Science, having authored 279 papers that have together received 3.8k indexed citations. Recurring topics across this work include Aluminum toxicity and tolerance in plants and animals (105 papers), Alzheimer's disease research and treatments (43 papers), Heavy Metal Exposure and Toxicity (30 papers), Organic Electronics and Photovoltaics (27 papers), Organic Light-Emitting Diodes Research (26 papers), Neuroscience and Neuropharmacology Research (20 papers), Conducting polymers and applications (19 papers) and Carcinogens and Genotoxicity Assessment (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (904 citations), Developmental Neuroscience (146 citations) and Polymers and Plastics (366 citations). Q. L. Niu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Qinli Zhang, Mario Di Gioacchino, Hongmei Zhang, Jisheng Nie, P Boscolo, Claudia Petrarca, Enrico Sabbioni, Baolong Pan, Xiaoting Lu and Luca Di Giampaolo. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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