Tao Meng

693 citations
33 papers · 481 indexed · h-index 10
Topics
Pregnancy and preeclampsia studies (11 papers)Gestational Diabetes Research and Management (7 papers)Image Retrieval and Classification Techniques (4 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Tao Meng

33 papers receiving 471 citations

Peers

Tao Meng
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 179
  • Pediatrics, Perinatology and Child Health 157
  • Obstetrics and Gynecology 148
  • Pathology and Forensic Medicine 75
  • Surgery 58
Replace Mengxi Guo with:
Mengxi Guo China
Minfang Tao China
Chunhua Wu China
LI Guo-hu China
Ana Carolina Mieko Omoto United States
Jianguo Chen United States
Ana Lúcia Cândido Brazil
Mohamed Abid Tunisia
Mikiko Kawaguchi Japan
Tao Meng relative to Mengxi Guo China Mengxi Guo's profile →
Citations per field
00.5×3.3×
Mengxi Guo · 1×
Citations per year

Countries citing papers authored by Tao Meng

Since Specialization
Citations

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

Fields of papers citing papers by Tao Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Meng. A scholar is included among the top collaborators of Tao Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Meng. Tao Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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[Knock-down of ROCK2 gene improves cognitive function and reduces neuronal apoptosis in AD mice by promoting mitochondrial fusion and inhibiting its division].
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6 3
7 18
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9 14
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11 17
12 13
13 8
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15 3
16 188
17 10
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19 27
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About Tao Meng

Tao Meng is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Biophysics, having authored 33 papers that have together received 481 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (11 papers), Gestational Diabetes Research and Management (7 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Obstetrics and Gynecology (148 citations), Endocrinology, Diabetes and Metabolism (179 citations) and Pediatrics, Perinatology and Child Health (157 citations). Tao Meng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing Liu, Guang Song, Ge Zhao, Lingzhong Meng, Mei‐Ling Shyu, Zhaoming Zhong, Xiaomei Zhang, Chenyang Li, Xiaochen Xie and Weiping Teng. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BioMed Research International and BMJ Open.

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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