Xiaofan Guo

8.6k citations
234 papers · 5.6k · h-index 39

Impact in

Papers in

Xiaofan Guo

228 papers receiving 5.5k citations

Peers

Xiaofan Guo
Comparison fields: 5 of 153
  • Cancer Research 963
  • Nephrology 283
  • Cardiology and Cardiovascular Medicine 716
  • Immunology 656
  • Genetics 301
Replace Massimo Porta with:
Massimo Porta Italy
Chih‐Hung Chen Taiwan
John J. Kelly United States
Hideo Sasaki Japan
Qiong Yang United States
Michael Koutsilieris Greece
Yali Zhao China
Rei Shibata Japan
Gustavo Duque Australia
Jürgen Peters Germany
Xiaofan Guo relative to Massimo Porta Italy Massimo Porta's profile →
Citations per field
00.5×3.5×
Massimo Porta · 1×
Citations per year

Countries citing papers authored by Xiaofan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019277
2 2013249
3 2018243
4 2016142
5 2018134
6 2015130
7 2020126
8 2019124
9 2016115
10 201393
11 202193
12 202078
13 201778
14 201974
15 202268
16
Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression.
201168
17 201564
18 201863
19 201662
20 201659

About Xiaofan Guo

Xiaofan Guo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 234 papers that have together received 5.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Blood Pressure and Hypertension Studies (17 papers), Cardiovascular Health and Risk Factors (12 papers), MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (12 papers), Liver Disease Diagnosis and Treatment (10 papers), Cardiovascular Function and Risk Factors (10 papers) and Acute Ischemic Stroke Management (10 papers). The work is most often cited by research in Cancer Research (963 citations), Nephrology (283 citations), Cardiology and Cardiovascular Medicine (716 citations), Immunology (656 citations) and Genetics (301 citations). Xiaofan Guo has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Yingxian Sun, Liqiang Zheng, Shasha Yu, Hao Xue, Xiao Gao, Gang Li, Xingang Zhang, Zhao Li, Ye Chang and Guozhe Sun. Their work appears in journals such as BMC Cardiovascular Disorders, International Journal of Environmental Research and Public Health, Journal of Clinical Medicine, Oncotarget and Lipids in Health and Disease.

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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