Nanhu Quan

1.2k total citations
26 papers, 952 citations indexed

About

Nanhu Quan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nanhu Quan has authored 26 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nanhu Quan's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Nanhu Quan is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Nanhu Quan collaborates with scholars based in China, United States and Japan. Nanhu Quan's co-authors include Courtney Cates, Ji Li, Wanqing Sun, Thomas Rousselle, Ji Li, Yang Zheng, Xinchun Zhou, Lin Wang, Hui Yang and Yishi Wang and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Nanhu Quan

25 papers receiving 944 citations

Peers

Nanhu Quan
Comparison fields: 5 of 83
  • Molecular Biology 574
  • Cardiology and Cardiovascular Medicine 181
  • Epidemiology 177
  • Pathology and Forensic Medicine 158
  • Surgery 154
Replace Xuwei Hou with:
Xuwei Hou China
Tatsujiro Oka Japan
Zhenhong Fu China
David Coven United States
Satoru Tatematsu Japan
Xiaochen He United States
Jianbin Gong China
Makoto Ariyoshi Japan
Yoshifumi Okawa Japan
Xuwei Hou China View profile →
Citations per field, relative to Nanhu Quan
Nanhu Quan · 1×
Citations per year, relative to Nanhu Quan
Nanhu Quan · 1×

Countries citing papers authored by Nanhu Quan

Since Specialization
Citations

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

Fields of papers citing papers by Nanhu Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanhu Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Nanhu Quan. A scholar is included among the top collaborators of Nanhu Quan 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 Nanhu Quan. Nanhu Quan 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
# Work Indexed citations
1 3
2 4
3 22
4 23
5 27
6 15
7 36
8 58
9 12
10 71
11 32
12 82
13 47
14 14
15 43
16 38
17 91
18 15
19 25
20 33

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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