Nian Shi

661 citations
30 papers · 489 · h-index 13

Impact in

Papers in

Nian Shi

30 papers receiving 477 citations

Peers

Nian Shi
Comparison fields: 5 of 95
  • Health, Toxicology and Mutagenesis 131
  • Developmental Neuroscience 33
  • Biological Psychiatry 10
  • Plant Science 139
  • Food Science 58
Replace Tanzeel Ahmed with:
Tanzeel Ahmed India
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Yun Feng China
Cong Zhang China
Jiayuan Wu China
Mahmoud Abdelghaffar Emam Egypt
Morteza Behnam Rassouli Iran
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Nian Shi relative to Tanzeel Ahmed India Tanzeel Ahmed's profile →
Citations per field
00.5×4.5×
Tanzeel Ahmed · 1×
Citations per year

Countries citing papers authored by Nian Shi

Since Specialization
Citations

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

Fields of papers citing papers by Nian Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 201860
3 200756
4 200954
5 201825
6 200723
7
Tyrosine hydroxylase as a target for deltamethrin in the nigrostriatal dopaminergic pathway.
200623
8 200519
9 202218
10
[Effects of pyrethroids on the concentrations of thyroid hormones in the rat serum and brain].
200218
11 200917
12 201914
13 201812
14 202111
15 20127
16 20226
17
[Effects of deltamethrin on intracellular free Ca2+ concentration and apoptosis in rat neural cells].
20026
18 20196
19 20245
20 20234

About Nian Shi

Nian Shi is a scholar working on Plant Science, Molecular Biology, Surgery, Genetics and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 489 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (10 papers), Mesenchymal stem cell research (4 papers), Insect and Pesticide Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Computational Drug Discovery Methods (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (131 citations), Developmental Neuroscience (33 citations), Biological Psychiatry (10 citations), Plant Science (139 citations) and Food Science (58 citations). Nian Shi has collaborated with scholars based in China. Frequent co-authors include Liegang Liu, Dandan Yan, Tao Li, Gong‐Ping Liu, Hong Yan, Yunjian Zhang, Yuanfeng Li, Yu Zhong, Xiaoyi Chen and J. C. Yao. Their work appears in journals such as Aesthetic Surgery Journal, Journal of Cellular Biochemistry, Medicine, Neuroscience and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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