Nan Hu

1.3k citations
31 papers · 822 indexed · 1 hit paper · h-index 13
Topics
Cancer-related molecular mechanisms research (4 papers)Epigenetics and DNA Methylation (4 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)

In The Last Decade

Nan Hu

29 papers receiving 814 citations

Hit Papers

Effect of glucagon‐like peptide‐1 receptor agonists on bo...20222026202320242022255075100

Peers

Nan Hu
Comparison fields: 5 of 81
  • Molecular Biology 372
  • Immunology 286
  • Rheumatology 165
  • Cancer Research 145
  • Genetics 122
Replace Netta Sion‐Vardy with:
Netta Sion‐Vardy Israel
Salma Kotti France
F. Oberhäuser Germany
Fábio Pereira Spain
Matthias Ruebner Germany
Roberto Bullani Switzerland
Carlo Socci Italy
Hisafumi Yasuda Japan
Marielle Martin France
Mauro Busacca Italy
Nan Hu relative to Netta Sion‐Vardy Israel Netta Sion‐Vardy's profile →
Citations per field
00.5×3.7×
Netta Sion‐Vardy · 1×
Citations per year

Countries citing papers authored by Nan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Hu. A scholar is included among the top collaborators of Nan 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 Nan Hu. Nan 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 15
2 8
3 6
4
Effect of glucagon‐like peptide‐1 receptor agonists on body weight in adults with obesity without diabetes mellitus—a systematic review and meta‐analysis of randomized control trialsbreakdown →
119
5 24
6 11
7 4
8 10
9 10
10 12
11 5
12 18
13 12
14
Differential expression of granulopoiesis-related genes in neutrophil subsets distinguished by membrane expression of CD177, the receptor of the autoantigen PR3 in WG
1
15 91
16 1
17 79
18 50
19 44
20 79

About Nan Hu

Nan Hu is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 31 papers that have together received 822 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Epigenetics and DNA Methylation (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Immunology (286 citations), Rheumatology (165 citations) and Cancer Research (145 citations). Nan Hu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yu‐Wen Su, Qianjin Lu, Yongqi Luo, Yaping Li, Qianjin Lu, Jun Yuan, Xiangning Qiu, Hai Long, Heng Yin and Ying Zhou. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Scientific Reports.

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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