Guang Ning

6.2k citations
112 papers · 4.4k indexed · 1 hit paper · h-index 33
Topics
Adipokines, Inflammation, and Metabolic Diseases (24 papers)Adipose Tissue and Metabolism (21 papers)Neuroendocrine Tumor Research Advances (10 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Guang Ning

106 papers receiving 4.3k citations

Hit Papers

Comparative genetic analysis of the novel coronavirus (20...20202026202220242020100200300400500

Peers

Guang Ning
Comparison fields: 5 of 136
  • Molecular Biology 1.4k
  • Epidemiology 1.1k
  • Physiology 993
  • Endocrinology, Diabetes and Metabolism 757
  • Oncology 500
Replace Francesco Prattichizzo with:
Francesco Prattichizzo Italy
Tatsuo Kawai Japan
Mohamed Abu‐Farha Kuwait
Pingjun Zhu China
Óscar Lorenzo Spain
Nava Bashan Israel
Massimo Collino Italy
Masato Furuhashi Japan
Francesca Santilli Italy
Martin Hersberger Switzerland
Guang Ning relative to Francesco Prattichizzo Italy Francesco Prattichizzo's profile →
Citations per field
00.5×3.5×
Francesco Prattichizzo · 1×
Citations per year

Countries citing papers authored by Guang Ning

Since Specialization
Citations

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

Fields of papers citing papers by Guang Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Ning. A scholar is included among the top collaborators of Guang Ning 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 Guang Ning. Guang Ning 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 0
2 0
3 4
4 0
5 1
6 0
7 14
8 16
9 6
10 68
11 32
12 22
13 9
14 56
15 107
16 1
17 16
18 13
19 11
20 10

About Guang Ning

Guang Ning is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 112 papers that have together received 4.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (24 papers), Adipose Tissue and Metabolism (21 papers) and Neuroendocrine Tumor Research Advances (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (757 citations), Physiology (993 citations) and Epidemiology (1.1k citations). Guang Ning has collaborated with scholars based in China, United States and France. Frequent co-authors include Weiqing Wang, Yanan Cao, Jiqiu Wang, Jie Hong, Juan Shi, Ruixin Liu, Lin Li, Xuanlin Huang, Yifei Zhang and Bin Cui. Their work appears in journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

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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