Shi Gu

41 papers receiving 830 citations

Peers

Shi Gu
Comparison fields: 5 of 92
  • Biophysics 95
  • Cellular and Molecular Neuroscience 195
  • Molecular Biology 397
  • Radiology, Nuclear Medicine and Imaging 120
  • Biomedical Engineering 212
Replace Mike S. Hsu with:
Mike S. Hsu United States
Ruiyao Cai Germany
Jenny I. Szu United States
Falk Oppel Germany
Kathryn McFadden United States
Joaquı́n Rueda Spain
Jingtan Zhu China
Matilde Balbi Germany
Elliot H. Choi United States
Manuel Simonutti France
Shi Gu relative to Mike S. Hsu United States Mike S. Hsu's profile →
Citations per field
00.5×1.5×2.5×
Mike S. Hsu · 1×
Citations per year

Countries citing papers authored by Shi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Shi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010144
2 201356
3 201752
4 201049
5 200844
6 201243
7 200843
8 200530
9 200330
10 201730
11 201926
12 201426
13 201724
14 201222
15 201621
16 201420
17 201419
18 200819
19 201417
20 201416

About Shi Gu

Shi Gu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 846 indexed citations. Recurring topics across this work include Congenital heart defects research (18 papers), Coronary Interventions and Diagnostics (9 papers), Coronary Artery Anomalies (8 papers), Photoreceptor and optogenetics research (7 papers), Neuroscience and Neural Engineering (6 papers), Optical Coherence Tomography Applications (6 papers), Congenital Heart Disease Studies (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Biophysics (95 citations), Cellular and Molecular Neuroscience (195 citations), Molecular Biology (397 citations), Radiology, Nuclear Medicine and Imaging (120 citations) and Biomedical Engineering (212 citations). Shi Gu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Michael W. Jenkins, Andrew M. Rollins, Michiko Watanabe, Ganga Karunamuni, Pei Ma, Hillel J. Chiel, E. Jansen, Yong Qiu Doughman, Yves T. Wang and Austin R. Duke. Their work appears in journals such as Biomedical Optics Express, Developmental Dynamics, Journal of Biomedical Optics, American Journal of Physiology-Heart and Circulatory Physiology and Cold Spring Harbor Protocols.

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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