Pan Gu

574 citations
29 papers · 450 · h-index 12

Impact in

Papers in

Pan Gu

27 papers receiving 445 citations

Peers

Pan Gu
Comparison fields: 5 of 79
  • Physiology 137
  • Obstetrics and Gynecology 36
  • Anesthesiology and Pain Medicine 21
  • Cellular and Molecular Neuroscience 53
  • Pulmonary and Respiratory Medicine 71
Replace Bin Qian with:
Bin Qian China
Ayşegül Görür Türkiye
Nikita Ved United Kingdom
An‐Kuo Chou Taiwan
Francisco Valladares Spain
Xuming Mo China
Botros Shenoda United States
Giovanna Franconi Italy
Hiroyuki Yamasaki Japan
Fang Lian China
Pan Gu relative to Bin Qian China Bin Qian's profile →
Citations per field
00.5×7.2×
Bin Qian · 1×
Citations per year

Countries citing papers authored by Pan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018161
2 201542
3 201726
4 201723
5 202221
6 202016
7 202115
8 201413
9 201813
10 201713
11 202112
12 202112
13 202111
14 201910
15 20219
16
[The expressions and meanings of BMP-7 and TGF-β in idiopathic pulmonary fibrosis and idiopathic nonspecific interstitial pneumonia].
20149
17 20188
18 20218
19 20127
20 20226

About Pan Gu

Pan Gu is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Cellular and Molecular Neuroscience and Surgery, having authored 29 papers that have together received 450 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Gynecological conditions and treatments (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Uterine Myomas and Treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Medical Imaging and Pathology Studies (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Acupuncture Treatment Research Studies (1 paper). The work is most often cited by research in Physiology (137 citations), Obstetrics and Gynecology (36 citations), Anesthesiology and Pain Medicine (21 citations), Cellular and Molecular Neuroscience (53 citations) and Pulmonary and Respiratory Medicine (71 citations). Pan Gu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chi Wai Cheung, Liting Sun, Wai Lydia Tai, Zhiqiang Pan, Qun Shan, Xin Luo, Fang Xia, Stanley Sau Ching Wong, Yu Zeng and Dabao Xu. Their work appears in journals such as Molecular Pain, Molecular Cancer Therapeutics, Experimental Lung Research, Diagnostic Pathology and European Journal of Pain.

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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