Xia Meng

26 papers receiving 550 citations

Peers

Xia Meng
Comparison fields: 5 of 90
  • Behavioral Neuroscience 32
  • Nuclear Energy and Engineering 4
  • Cellular and Molecular Neuroscience 103
  • Molecular Biology 275
  • Aging 7
Replace Irene D. Gist with:
Irene D. Gist United States
Ju‐Ren He United States
Atsushi Hirao Japan
Ana Lúcia Brunialti Godard Brazil
Rose Z. Hill United States
Namhee Kim South Korea
Alexandre Bétourné France
Anna K. Sundgren‐Andersson Sweden
Aditi Phadke United States
Valérie Grange‐Messent France
Xia Meng relative to Irene D. Gist United States Irene D. Gist's profile →
Citations per field
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Irene D. Gist · 1×
Citations per year

Countries citing papers authored by Xia Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199978
2 201063
3 199862
4 199659
5 202249
6 199341
7 202240
8 201230
9 201023
10 202117
11 199914
12 202114
13 202213
14 201311
15 202010
16 19989
17 19957
18
Redox mechanism for the chaperone activity of heat shock proteins HSPs 60, 70 and 90 as suggested by hydrophobic cluster analysis: hypothesis.
19945
19 20122
20 20222

About Xia Meng

Xia Meng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Physiology and Immunology, having authored 28 papers that have together received 555 indexed citations. Recurring topics across this work include Heat shock proteins research (8 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers), Adipose Tissue and Metabolism (4 papers), Enzyme Structure and Function (3 papers), Innovative concrete reinforcement materials (2 papers), Healthcare and Venom Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Behavioral Neuroscience (32 citations), Nuclear Energy and Engineering (4 citations), Cellular and Molecular Neuroscience (103 citations), Molecular Biology (275 citations) and Aging (7 citations). Xia Meng has collaborated with scholars based in China, France and United States. Frequent co-authors include Maria-Grazia Catelli, Jocelyne Devin, Shuguang Wei, Bo Xing, Wenwen Zeng, Philippe Leclerc, Françoise Cadepond, M.G. Catelli, Ming Xu and Etienne‐Emile Baulieu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Behavioural Brain Research, Journal of Lipid Research, Experimental Cell Research and Biochemical and Biophysical Research Communications.

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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