Boyi Gan
- Cancer Research top 0.05%
- Cancer, Lipids, and Metabolism 22
- Cancer, Hypoxia, and Metabolism 12
- Cancer-related molecular mechanisms research 11
- Pulmonary and Respiratory Medicine top 0.05%
- Ferroptosis and cancer prognosis 45
- Molecular Biology top 0.2%
- RNA modifications and cancer 42
- Epigenetics and DNA Methylation 18
- Aging top 1%
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 7
-
- Autophagy in Disease and Therapy 10
- Partner nations
- United StatesChinaJapan
In The Last Decade
Boyi Gan
102 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 8.3k
- Pulmonary and Respiratory Medicine 8.9k
- Molecular Biology 11.9k
- Aging 162
- Biochemistry 613
Countries citing papers authored by Boyi Gan
This map shows the geographic impact of Boyi Gan'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 Boyi Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyi Gan more than expected).
Fields of papers citing papers by Boyi Gan
This network shows the impact of papers produced by Boyi Gan. 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 Boyi Gan. The network helps show where Boyi Gan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boyi Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 22 | |
| 6 | 2023 | 37 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 22 | |
| 9 | SLC7A11 expression level dictates differential responses to oxidative stress in cancer cellsbreakdown → | 2023 | 176 |
| 10 | 2023 | 9 | |
| 11 | 2023 | 15 | |
| 12 | 2020 | 31 | |
| 13 | Energy-stress-mediated AMPK activation inhibits ferroptosisbreakdown → | 2020 | 851 |
| 14 | Long noncoding RNA MALAT1 suppresses breast cancer metastasisbreakdown → | 2018 | 546 |
| 15 | 2017 | 170 | |
| 16 | 2016 | 78 | |
| 17 | 2016 | 247 | |
| 18 | 2014 | 108 | |
| 19 | 2010 | 116 | |
| 20 | 2005 | 74 |
About Boyi Gan
Boyi Gan is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Allergy and Aging, having authored 107 papers that have together received 17.4k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (45 papers), RNA modifications and cancer (42 papers), Cancer, Lipids, and Metabolism (22 papers), Epigenetics and DNA Methylation (18 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer-related molecular mechanisms research (11 papers), Autophagy in Disease and Therapy (10 papers) and Amino Acid Enzymes and Metabolism (7 papers). The work is most often cited by research in Cancer Research (8.3k citations), Pulmonary and Respiratory Medicine (8.9k citations), Molecular Biology (11.9k citations), Aging (162 citations) and Biochemistry (613 citations). Boyi Gan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pranavi Koppula, Li Zhuang, Guang Lei, Yilei Zhang, Li Zhuang, Xiaoguang Liu, Hyemin Lee, Chao Mao, Yuelong Yan and Kellen Olszewski. Their work appears in journals such as Nature Communications, Cancer Research, Nature Cell Biology, Protein & Cell and Journal of Biological Chemistry.
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.