Xing Gao
Impact in
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- MicroRNA in disease regulation
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- Cancer-related Molecular Pathways
Papers in
- Surgery 16
- Esophageal Cancer Research and Treatment 11
- Esophageal and GI Pathology 8
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- Signaling Pathways in Disease 2
- Co-authors
- Zejun Liu (5 shared papers)Yun Cai (5 shared papers)Hongyu Zhu (4 shared papers)Yujie Zhang (2 shared papers)Jianhua Chen (2 shared papers)Shi Qiu (1 shared paper)Jing Qi (1 shared paper)Zhihui Li (1 shared paper)
- Journals
- Cancers (3 papers)British journal of surgery (3 papers)Cancer Investigation (2 papers)Cell Reports (1 paper)Diseases of the Esophagus (1 paper)
- Partner nations
- ChinaNetherlandsTaiwan
In The Last Decade
Xing Gao
37 papers receiving 391 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 74
- Oncology 113
- Biomaterials 43
- Molecular Biology 199
- Pulmonary and Respiratory Medicine 68
Countries citing papers authored by Xing Gao
This map shows the geographic impact of Xing Gao'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 Xing Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Gao more than expected).
Fields of papers citing papers by Xing Gao
This network shows the impact of papers produced by Xing Gao. 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 Xing Gao. The network helps show where Xing Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Gao, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2012 | 37 | |
| 3 | 2019 | 30 | |
| 4 | 2008 | 30 | |
| 5 | 2018 | 28 | |
| 6 | 2017 | 27 | |
| 7 | 2018 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2009 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2021 | 4 |
About Xing Gao
Xing Gao is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 41 papers that have together received 394 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (11 papers), Gastric Cancer Management and Outcomes (10 papers), Esophageal and GI Pathology (8 papers), Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (3 papers), Signaling Pathways in Disease (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Cancer Research (74 citations), Oncology (113 citations), Biomaterials (43 citations), Molecular Biology (199 citations) and Pulmonary and Respiratory Medicine (68 citations). Xing Gao has collaborated with scholars based in China, Netherlands and Taiwan. Frequent co-authors include Zejun Liu, Yun Cai, Hongyu Zhu, Yujie Zhang, Jianhua Chen, Shi Qiu, Jing Qi, Zhihui Li, Yin‐Kai Chao and Xuepeng Fan. Their work appears in journals such as Cancers, British journal of surgery, Cancer Investigation, Cell Reports and Diseases of the Esophagus.
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.