Meng C. Wang

8.4k citations
104 papers · 5.2k indexed · 2 hit papers · h-index 35

Impact in

  • Aging top 0.1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biophysics top 0.2%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 31
    • Spectroscopy Techniques in Biomedical and Chemical Research 12

Meng C. Wang

92 papers receiving 5.2k citations

Hit Papers

Lipid metabolism and lipid signals in aging and longevity 2021 · 181 citations
1812014202620182022100200300

Peers

Meng C. Wang
Comparison fields: 5 of 146
  • Aging 1.3k
  • Biophysics 863
  • Biochemistry 670
  • Endocrine and Autonomic Systems 371
  • Biological Psychiatry 112
Replace Nils J. Færgeman with:
Nils J. Færgeman Denmark
Vsevolod V. Belousov Russia
Benjamin P. Tu United States
Gawain McColl Australia
Hélène Pelicano United States
Meng‐Qiu Dong China
Vladislav Petyuk United States
György Szabadkai Italy
Valeria Petronilli Italy
Jodi Nunnari United States
Meng C. Wang relative to Nils J. Færgeman Denmark Nils J. Færgeman's profile →
Citations per field
00.5×10×13.9×
Nils J. Færgeman · 1×
Citations per year

Countries citing papers authored by Meng C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meng C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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9 20235
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11 20237
12 202210
13 202143
14 202110
15 202115
16 202131
17 202117
18 201928
19 201828
20 2008299

About Meng C. Wang

Meng C. Wang is a scholar working on Aging, Biophysics, Endocrine and Autonomic Systems, Biochemistry and Biological Psychiatry, having authored 104 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (31 papers), Adipose Tissue and Metabolism (15 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers), Circadian rhythm and melatonin (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Mitochondrial Function and Pathology (10 papers), Sulfur Compounds in Biology (7 papers) and Autophagy in Disease and Therapy (7 papers). The work is most often cited by research in Aging (1.3k citations), Biophysics (863 citations), Biochemistry (670 citations), Endocrine and Autonomic Systems (371 citations) and Biological Psychiatry (112 citations). Meng C. Wang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Dirk Bohmann, Heinrich Jasper, Yong Yu, Wei Min, Gary Ruvkun, Chih-Chun Lin, Ayse Sena Mutlu, Eyleen J. O’Rourke, Jin Wang and Lu Wei. Their work appears in journals such as Nature Communications, Developmental Cell, Nature Methods, Scientific Reports and Nature Cell Biology.

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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