Gang Ji
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 5%
Papers in
- Surgery 24
- Bariatric Surgery and Outcomes 7
- Enhanced Recovery After Surgery 7
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- Gastric Cancer Management and Outcomes 19
- Co-authors
- Dake Chu (17 shared papers)Qingchuan Zhao (20 shared papers)Jianyong Zheng (13 shared papers)Jipeng Li (13 shared papers)Weizhong Wang (12 shared papers)Yunming Li (9 shared papers)Guanglong Dong (10 shared papers)Mengbin Li (7 shared papers)
- Journals
- Cerebral Cortex (5 papers)Cancer Management and Research (4 papers)Oncotarget (4 papers)Frontiers in Oncology (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Gang Ji
94 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 494
- Geriatrics and Gerontology 90
- Endocrine and Autonomic Systems 143
- Gastroenterology 64
- Molecular Biology 780
Countries citing papers authored by Gang Ji
This map shows the geographic impact of Gang Ji'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 Gang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Ji more than expected).
Fields of papers citing papers by Gang Ji
This network shows the impact of papers produced by Gang Ji. 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 Gang Ji. The network helps show where Gang Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang Ji, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 313 | |
| 2 | 2016 | 229 | |
| 3 | 2014 | 141 | |
| 4 | 2015 | 84 | |
| 5 | 2011 | 76 | |
| 6 | 2016 | 69 | |
| 7 | 2010 | 58 | |
| 8 | 2020 | 57 | |
| 9 | 2010 | 50 | |
| 10 | 2018 | 46 | |
| 11 | 2014 | 45 | |
| 12 | 2011 | 44 | |
| 13 | 2016 | 43 | |
| 14 | Laparoscopy-assisted total gastrectomy with extended lymph node resection for advanced gastric cancer--reports of 82 cases. | 2011 | 40 |
| 15 | 2017 | 38 | |
| 16 | 2014 | 37 | |
| 17 | 2011 | 35 | |
| 18 | 2018 | 34 | |
| 19 | 2014 | 33 | |
| 20 | 2009 | 32 |
About Gang Ji
Gang Ji is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Cognitive Neuroscience and Oncology, having authored 101 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (19 papers), Bariatric Surgery and Outcomes (7 papers), Enhanced Recovery After Surgery (7 papers), Functional Brain Connectivity Studies (6 papers), Diet and metabolism studies (4 papers), Neural and Behavioral Psychology Studies (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (494 citations), Geriatrics and Gerontology (90 citations), Endocrine and Autonomic Systems (143 citations), Gastroenterology (64 citations) and Molecular Biology (780 citations). Gang Ji has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Dake Chu, Qingchuan Zhao, Jianyong Zheng, Jipeng Li, Weizhong Wang, Yunming Li, Guanglong Dong, Mengbin Li, Yi Zhang and Yongzhan Nie. Their work appears in journals such as Cerebral Cortex, Cancer Management and Research, Oncotarget, Frontiers in Oncology and PLoS ONE.
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.