Yin Ge

1.4k citations
36 papers · 535 · h-index 13

Impact in

Papers in

Yin Ge

35 papers receiving 529 citations

Peers

Yin Ge
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 240
  • Genetics 62
  • Biomaterials 71
  • Radiology, Nuclear Medicine and Imaging 116
  • Surgery 202
Replace Akchurin Rs with:
Akchurin Rs Russia
Ilias Karabinos Greece
Hiroshi Kurazumi Japan
Matteo Perfetti Italy
Yoko Hagiwara Japan
Atul Chugh United States
Hisaaki Ishiguro Japan
J. Schmitt Germany
Monique M.H. Marijianowski Netherlands
Federica Negro Italy
Yin Ge relative to Akchurin Rs Russia Akchurin Rs's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yin Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yin Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200955
2 201354
3 201253
4 201050
5 202144
6 201744
7 201838
8 201025
9 202117
10 201815
11 202315
12 201113
13 202213
14 201711
15 201910
16 202210
17 20139
18 20088
19 20226
20 20226

About Yin Ge

Yin Ge is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomaterials, having authored 36 papers that have together received 535 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (13 papers), Advanced MRI Techniques and Applications (10 papers), Cardiovascular Function and Risk Factors (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Cardiac pacing and defibrillation studies (4 papers), Cardiac Valve Diseases and Treatments (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (240 citations), Genetics (62 citations), Biomaterials (71 citations), Radiology, Nuclear Medicine and Imaging (116 citations) and Surgery (202 citations). Yin Ge has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Thomas J. Wang, Dominique Shum‐Tim, Raymond Y. Kwong, Satya Prakash, Arghya Paul, Christoph Gräni, Sumit Gupta, Amitoj Singh, Ray C.‐J. Chiu and Rahul G. Muthalaly. Their work appears in journals such as JACC. Cardiovascular imaging, Journal of the American Heart Association, Radiology Cardiothoracic Imaging, The American Journal of Medicine and Blood.

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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