Guangjun Shi
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Adipose Tissue and Metabolism
Papers in
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- RNA modifications and cancer 4
- Oncology 13
- Pancreatic and Hepatic Oncology Research 7
- Lung Cancer Research Studies 5
- Co-authors
- Xueying Tan (7 shared papers)Zhen Yang (13 shared papers)Nan Tang (5 shared papers)Deguo Zhang (3 shared papers)Ping Zhang (4 shared papers)Dongxu Sun (5 shared papers)Kun Ding (1 shared paper)Weisheng Li (1 shared paper)
- Journals
- Frontiers in Oncology (5 papers)Cancer Medicine (3 papers)Biochemical and Biophysical Research Communications (3 papers)Scientific Reports (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Guangjun Shi
32 papers receiving 355 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 104
- Physiology 98
- Molecular Biology 187
- Oncology 74
- Epidemiology 90
Countries citing papers authored by Guangjun Shi
This map shows the geographic impact of Guangjun Shi'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 Guangjun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangjun Shi more than expected).
Fields of papers citing papers by Guangjun Shi
This network shows the impact of papers produced by Guangjun Shi. 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 Guangjun Shi. The network helps show where Guangjun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangjun Shi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 27 | |
| 4 | 2022 | 25 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2021 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Guangjun Shi
Guangjun Shi is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 361 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Neuroendocrine Tumor Research Advances (6 papers), Ferroptosis and cancer prognosis (5 papers), Lung Cancer Research Studies (5 papers), RNA modifications and cancer (4 papers), Adipose Tissue and Metabolism (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Cancer Research (104 citations), Physiology (98 citations), Molecular Biology (187 citations), Oncology (74 citations) and Epidemiology (90 citations). Guangjun Shi has collaborated with scholars based in China and United States. Frequent co-authors include Xueying Tan, Zhen Yang, Nan Tang, Deguo Zhang, Ping Zhang, Dongxu Sun, Kun Ding, Weisheng Li, Chuanxu Wang and Mengya Wang. Their work appears in journals such as Frontiers in Oncology, Cancer Medicine, Biochemical and Biophysical Research Communications, Scientific Reports and OncoTargets and Therapy.
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.