Meiling Tian

907 citations
53 papers · 736 · h-index 16

Impact in

Papers in

Meiling Tian

52 papers receiving 727 citations

Peers

Meiling Tian
Comparison fields: 5 of 84
  • Developmental Neuroscience 172
  • Neurology 91
  • Cancer Research 138
  • Cellular and Molecular Neuroscience 134
  • Genetics 67
Replace Wenjiao Tai with:
Wenjiao Tai United States
Xiaoxin Cheng China
Natascia Guida Italy
Antonella Casamassa Italy
Feng‐Yan Sun China
Kazem Sharifi Iran
Huixian Cui China
Xiang Cheng China
Michael Lattke Germany
Karina Hernández‐Ortega Mexico
Meiling Tian relative to Wenjiao Tai United States Wenjiao Tai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meiling Tian

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 201350
3 201449
4 201335
5 200725
6
Porous chitosan scaffold and ngf promote neuronal differentiation of neural stem cells in vitro.
201123
7 201023
8 200823
9 201720
10 201620
11 202319
12 201819
13 202218
14 201417
15 201017
16 201017
17 202216
18 201015
19 202215
20 201915

About Meiling Tian

Meiling Tian is a scholar working on Developmental Neuroscience, Cancer Research, Neurology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 53 papers that have together received 736 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (20 papers), MicroRNA in disease regulation (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Pluripotent Stem Cells Research (5 papers), Axon Guidance and Neuronal Signaling (4 papers), Nuclear Receptors and Signaling (4 papers), RNA Interference and Gene Delivery (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Developmental Neuroscience (172 citations), Neurology (91 citations), Cancer Research (138 citations), Cellular and Molecular Neuroscience (134 citations) and Genetics (67 citations). Meiling Tian has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Jianbing Qin, Guohua Jin, Xin-hua Zhang, Xin Yi, Xiang Cheng, Haoming Li, Weifeng Mao, Jinhong Shi, Dekang Nie and Weiwei Chen. Their work appears in journals such as Cell Biology International, In Vitro Cellular & Developmental Biology - Animal, PLoS ONE, Nutrients and Journal of Cellular and Molecular Medicine.

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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