Guixue Bu

429 citations
10 papers · 344 · h-index 7

Impact in

Papers in

Guixue Bu

10 papers receiving 344 citations

Peers

Guixue Bu
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 91
  • Radiology, Nuclear Medicine and Imaging 72
  • Oncology 85
  • Molecular Biology 182
  • Cancer Research 28
Replace Mark G. MacAskill with:
Mark G. MacAskill United Kingdom
J. Weddell United States
Takuo Nakagami Japan
Lixin Jin China
Jasmeet S. Reyat United Kingdom
Tessa van Herwaarden Netherlands
Tomohiro Yamasaki Japan
Evelyn S. Brown United States
Rafiqul Hussain United Kingdom
Irmgard Mayringer Austria
Guixue Bu relative to Mark G. MacAskill United Kingdom Mark G. MacAskill's profile →
Citations per field
00.5×4.7×
Mark G. MacAskill · 1×
Citations per year

Countries citing papers authored by Guixue Bu

Since Specialization
Citations

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

Fields of papers citing papers by Guixue Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200892
2 201084
3 200852
4 201143
5 200929
6 201426
7 201012
8 19963
9 20072
10
A single moving dipole model of ventricular depolarization.
20061

About Guixue Bu

Guixue Bu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (3 papers), Neuroscience and Neural Engineering (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), MRI in cancer diagnosis (2 papers), Signaling Pathways in Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (91 citations), Radiology, Nuclear Medicine and Imaging (72 citations), Oncology (85 citations), Molecular Biology (182 citations) and Cancer Research (28 citations). Guixue Bu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael Rubart, E. Gabriela Chiorean, M. Fatih Akisik, Gary D. Hutchins, Lin Chen, Kumaresan Sandrasegaran, Loren J. Field, Weinian Shou, Wuqiang Zhu and Edward J. Berbari. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Radiation Oncology*Biology*Physics, Radiology, Clinical and Experimental Pharmacology and Physiology and Circulation Research.

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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