Xiaoming Gu

78 papers receiving 1.8k citations

Xiaoming Gu's Hit Papers

Pre-metastatic niche: formation, characteristics and therapeutic implication 2024 · 109 citations
1090+1Years since publication255075100

Peers

Xiaoming Gu
Comparison fields: 5 of 144
  • Geriatrics and Gerontology 61
  • Cancer Research 257
  • Molecular Biology 648
  • Endocrine and Autonomic Systems 51
  • Cardiology and Cardiovascular Medicine 149
Replace Zhihua Han with:
Zhihua Han China
Xin Cong China
Ke‐Yong Wang Japan
Xiaohua Wu China
Joseph P. Stains United States
Roberto Di Primio Italy
Yu Xin Wang United States
Zhijun Pan China
J.H. Waarsing Netherlands
Li. Mosekilde Denmark
Xiaoming Gu relative to Zhihua Han China Zhihua Han's profile →
Citations per field
00.5×2.7×
Zhihua Han · 1×
Citations per year

Countries citing papers authored by Xiaoming Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018311
2 2018157
3
Pre-metastatic niche: formation, characteristics and therapeutic implication
Hit paper breakdown →
2024109
4 201795
5 202181
6 202275
7 200271
8 201761
9 200554
10 202049
11 200644
12 200735
13 201735
14 200434
15 200731
16 202030
17 200829
18 202227
19 202223
20 202223

About Xiaoming Gu

Xiaoming Gu is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Cell Biology and Surgery, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Calpain Protease Function and Regulation (7 papers), Bat Biology and Ecology Studies (7 papers), Cardiac Ischemia and Reperfusion (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Structural Health Monitoring Techniques (4 papers), Cardiovascular Function and Risk Factors (4 papers), Seismic Performance and Analysis (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (61 citations), Cancer Research (257 citations), Molecular Biology (648 citations), Endocrine and Autonomic Systems (51 citations) and Cardiology and Cardiovascular Medicine (149 citations). Xiaoming Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Na Feng, Min Jia, Feng Fu, Mingge Ding, Yong Lu, Yuemin Wang, Weitang Yuan, Zhenhua Liu, Junmin Song and Shijun Wang. Their work appears in journals such as European Journal of Pharmacology, Cellular Physiology and Biochemistry, Zootaxa, Lipids in Health and Disease and Frontiers in Physiology.

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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