Mengna Zhang

3.3k citations
159 papers · 2.4k indexed · 1 hit paper · h-index 27
Topics
Neuropeptides and Animal Physiology (27 papers)Pain Mechanisms and Treatments (23 papers)Receptor Mechanisms and Signaling (17 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Mengna Zhang

149 papers receiving 2.3k citations

Hit Papers

Construction of enzymatic crosslinking beta-lactoglobulin...2025202620255101520

Peers

Mengna Zhang
Comparison fields: 5 of 159
  • Molecular Biology 875
  • Physiology 403
  • Nutrition and Dietetics 378
  • Food Science 329
  • Cellular and Molecular Neuroscience 321
Replace Bin Zheng with:
Bin Zheng China
Shaobo Zhou China
Ji Young Park South Korea
Guoqing Liu China
Hui Ji China
Zhenyu Wang China
Xiaojuan Liu China
Noriyuki Yanaka Japan
Mengna Zhang relative to Bin Zheng China Bin Zheng's profile →
Citations per field
00.5×7.3×
Bin Zheng · 1×
Citations per year

Countries citing papers authored by Mengna Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mengna Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengna Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mengna Zhang. A scholar is included among the top collaborators of Mengna Zhang 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 Mengna Zhang. Mengna Zhang 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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Construction of enzymatic crosslinking beta-lactoglobulin-camellia oil emulsion gels: Microstructural characterization, stability, and curcumin delivery behaviorbreakdown →
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6 0
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Phytochemical screening and analysis of amino acids of Magnolia officinalis seeds
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About Mengna Zhang

Mengna Zhang is a scholar working on Cellular and Molecular Neuroscience, Physiology and Periodontics, having authored 159 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (27 papers), Pain Mechanisms and Treatments (23 papers) and Receptor Mechanisms and Signaling (17 papers). The work is most often cited by research in Nutrition and Dietetics (378 citations), Food Science (329 citations) and Cellular and Molecular Neuroscience (321 citations). Mengna Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gongshuai Song, Qing Shen, Sha Yang, Haixing Wang, Zhi‐Gang Chen, Quan Fang, Zesheng Zhang, Biao Xu, Xina Yu and Jie Wang. Their work appears in journals such as Cell, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

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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