Nan Gu

1.8k citations
37 papers · 1.4k indexed · h-index 17

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 5%
    • Pain Mechanisms and Treatments

Papers in

Nan Gu

33 papers receiving 1.3k citations

Peers

Nan Gu
Comparison fields: 5 of 96
  • Neurology 377
  • Physiology 716
  • Cellular and Molecular Neuroscience 415
  • Physiology 84
  • Developmental Neuroscience 49
Replace Bao‐Chun Jiang with:
Bao‐Chun Jiang China
De‐Li Cao China
Xin Luo United States
Rui‐Ping Pang China
Nancy Nutile‐McMenemy United States
Yong Pei United States
Andrew Moss United Kingdom
Jee Y. Lee South Korea
Keith A. Strand United States
Nan Gu relative to Bao‐Chun Jiang China Bao‐Chun Jiang's profile →
Citations per field
00.5×1.5×1.9×
Bao‐Chun Jiang · 1×
Citations per year

Countries citing papers authored by Nan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20250
5 20250
6 20251
7 20246
8 20214
9 201951
10 20185
11 20189
12 2016188
13 2016236
14 2015105
15 2015100
16 201494
17 201427
18 201229
19 200816
20 20075

About Nan Gu

Nan Gu is a scholar working on Neurology, Endocrine and Autonomic Systems, Physiology, Cancer Research and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Circular RNAs in diseases (4 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Neurology (377 citations), Physiology (716 citations), Cellular and Molecular Neuroscience (415 citations), Physiology (84 citations) and Developmental Neuroscience (49 citations). Nan Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Long‐Jun Wu, Hailong Dong, Madhuvika Murugan, Jiyun Peng, Ukpong B Eyo, Wen-Biao Gan, Ukpong B. Eyo, Li‐Jun Zhou, Yanyan Sun and Lize Xiong. Their work appears in journals such as Journal of Pain Research, Acta Pharmacologica Sinica, Molecular Brain, The International Journal of Biochemistry & Cell Biology and Nature Communications.

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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