Meiling Sun

565 citations
25 papers · 285 · h-index 10

Impact in

Papers in

Meiling Sun

23 papers receiving 282 citations

Peers

Meiling Sun
Comparison fields: 5 of 79
  • Neurology 47
  • Biochemistry 17
  • Spectroscopy 36
  • Developmental Neuroscience 9
  • Rehabilitation 14
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Young R. Kim United States
F. Bao United States
Ximena Castillo Switzerland
Suyi Cao United States
Jan-Olof Karlsson Sweden
Takahiro Kondo Japan
Jinchen Wang China
Magdalena Lam Australia
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Citations per field
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Citations per year

Countries citing papers authored by Meiling Sun

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201433
3 201528
4 201425
5 201824
6 201823
7 202318
8 202114
9 201712
10 20219
11 20229
12 20158
13 20196
14 20216
15 20205
16 20214
17
Efficacy of neoadjuvant chemotherapy combined with intraperitoneal hyperthermic chemotherapy in advanced ovarian cancer.
20213
18
[A near-infrared diffuse reflectance analysis method for the noninvasive quantitative analysis of ambroxol hydrochloride tablets].
20043
19 20202
20
[A preliminary study of the structure prediction and expression of SARS-CoV spike protein].
20052

About Meiling Sun

Meiling Sun is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Oncology, having authored 25 papers that have together received 285 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Molecular Sensors and Ion Detection (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (47 citations), Biochemistry (17 citations), Spectroscopy (36 citations), Developmental Neuroscience (9 citations) and Rehabilitation (14 citations). Meiling Sun has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kohji Fukunaga, Yasuharu Shinoda, Feng Han, Hisanao Izumi, Juan Cheng, Xingguang Liang, Feng Han, Yongzhou Hu, Yun‐Bi Lu and Xin Li. Their work appears in journals such as Redox Biology, Applied Surface Science, Neuroscience, Brain Research and Free Radical Biology and 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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