Meng Hu

791 citations
22 papers · 622 indexed · h-index 14
Topics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)Alzheimer's disease research and treatments (3 papers)Cell Adhesion Molecules Research (3 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Meng Hu

22 papers receiving 614 citations

Peers

Meng Hu
Comparison fields: 5 of 81
  • Molecular Biology 238
  • Pulmonary and Respiratory Medicine 117
  • Physiology 116
  • Hepatology 72
  • Neurology 71
Replace Keiichi Kadoyama with:
Keiichi Kadoyama Japan
Zhi Song China
Danyun Zhao United States
Martin Vidgeon-Hart United Kingdom
Christina Leibrock Germany
Elizabeth Guida Australia
Taj D. King United States
Masami Shimizu‐Albergine United States
Urszula Wasik Poland
Meng Hu relative to Keiichi Kadoyama Japan Keiichi Kadoyama's profile →
Citations per field
00.5×7.8×
Keiichi Kadoyama · 1×
Citations per year

Countries citing papers authored by Meng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Hu. A scholar is included among the top collaborators of Meng Hu 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 Meng Hu. Meng Hu 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
1 2
2 1
3 8
4
High expression of peroxisomal D-bifunctional protein in cytosol regulates apoptosis and energy metabolism of hepatocellular carcinoma cells via PI3K/AKT pathway.
2
5 1
6 13
7 21
8 15
9 17
10 2
11 23
12 96
13 12
14 45
15 18
16 82
17 83
18 46
19 63
20 41

About Meng Hu

Meng Hu is a scholar working on Immunology and Allergy, Neurology and Endocrine and Autonomic Systems, having authored 22 papers that have together received 622 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Alzheimer's disease research and treatments (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Hepatology (72 citations) and Neurology (71 citations). Meng Hu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Qiang Ding, Pulin Che, Guoqiang Cai, Hao Hong, Yan Long, Mei Hu, Youfeng Yang, Xiaosi Han, Yong Zhou and Tracy Luckhardt. Their work appears in journals such as Scientific Reports, The FASEB Journal and American Journal Of Pathology.

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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