Bingxin Gu
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
- Oncology 17
- Peptidase Inhibition and Analysis 9
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- Protease and Inhibitor Mechanisms 7
- Co-authors
- Shaoli Song (26 shared papers)Xianghua Wu (1 shared paper)Ping Zhang (1 shared paper)Xiaoping Xu (12 shared papers)Zhongyi Yang (15 shared papers)Dagan D. Feng (5 shared papers)Lei Bi (4 shared papers)Mingyuan Meng (4 shared papers)
In The Last Decade
Bingxin Gu
45 papers receiving 765 citations
Peers
Comparison fields: 5 of 84
- Otorhinolaryngology 51
- Oncology 301
- Cancer Research 114
- Radiology, Nuclear Medicine and Imaging 148
- Biomaterials 86
Countries citing papers authored by Bingxin Gu
This map shows the geographic impact of Bingxin 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 Bingxin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxin Gu more than expected).
Fields of papers citing papers by Bingxin Gu
This network shows the impact of papers produced by Bingxin 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 Bingxin Gu. The network helps show where Bingxin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxin Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2016 | 54 | |
| 3 | 2022 | 53 | |
| 4 | 2021 | 49 | |
| 5 | 2020 | 48 | |
| 6 | 2022 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2021 | 36 | |
| 9 | 2022 | 32 | |
| 10 | 2023 | 31 | |
| 11 | 2020 | 20 | |
| 12 | 2024 | 20 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2014 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2016 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2024 | 11 | |
| 20 | 2020 | 11 |
About Bingxin Gu
Bingxin Gu is a scholar working on Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 48 papers that have together received 778 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Nanoplatforms for cancer theranostics (9 papers), Medical Imaging Techniques and Applications (8 papers), Protease and Inhibitor Mechanisms (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Structural Anomalies and Repair (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Otorhinolaryngology (51 citations), Oncology (301 citations), Cancer Research (114 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Biomaterials (86 citations). Bingxin Gu has collaborated with scholars based in China, Australia and France. Frequent co-authors include Shaoli Song, Xianghua Wu, Ping Zhang, Xiaoping Xu, Zhongyi Yang, Dagan D. Feng, Lei Bi, Mingyuan Meng, Jinman Kim and Silong Hu. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Frontiers in Oncology, Cancer Imaging, Journal of Nuclear Medicine and RSC Advances.
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.