Pan Gu

560 citations
29 papers · 436 · h-index 12

Impact in

Papers in

Pan Gu

27 papers receiving 432 citations

Peers

Pan Gu
Comparison fields: 5 of 83
  • Physiology 145
  • Anesthesiology and Pain Medicine 26
  • Obstetrics and Gynecology 33
  • Reproductive Medicine 34
  • Cellular and Molecular Neuroscience 63
Replace Francisco Valladares with:
Francisco Valladares Spain
Ayşegül Görür Türkiye
Anna Klukovits Hungary
Bibiana Moreno-Carranza Mexico
Atsushi Kaibara Japan
Gail J. Pyne United States
Hiroyuki Yamasaki Japan
Masaki Sekiguchi Japan
Pan Gu relative to Francisco Valladares Spain Francisco Valladares's profile →
Citations per field
00.5×4.7×
Francisco Valladares · 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 2018156
2 201542
3 201726
4 201722
5 202220
6 202015
7 202115
8 201813
9 201413
10 201713
11 202112
12 202111
13 201910
14 202110
15
[The expressions and meanings of BMP-7 and TGF-β in idiopathic pulmonary fibrosis and idiopathic nonspecific interstitial pneumonia].
20149
16 20188
17 20218
18 20217
19 20226
20
[Effects of 1, 25 (OH)2D3 on bleomycin-induced pulmonary fibrosis in mice].
20135

About Pan Gu

Pan Gu is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Obstetrics and Gynecology, Surgery and Molecular Biology, having authored 29 papers that have together received 436 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Gynecological conditions and treatments (6 papers), Endometriosis Research and Treatment (3 papers), Uterine Myomas and Treatments (3 papers), Nerve injury and regeneration (2 papers), Medical Imaging and Pathology Studies (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Physiology (145 citations), Anesthesiology and Pain Medicine (26 citations), Obstetrics and Gynecology (33 citations), Reproductive Medicine (34 citations) and Cellular and Molecular Neuroscience (63 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, Xin Luo, Qun Shan, Dabao Xu, Fang Xia, Xianghua Yi and Yu Zeng. Their work appears in journals such as Molecular Cancer Therapeutics, Scientific Reports, Journal of Pain, Neuroscience and Journal of Neuroinflammation.

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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