Zixiang Geng
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
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- Extracellular vesicles in disease 5
- Gut microbiota and health 3
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 2
- Co-authors
- Te Liu (12 shared papers)Bimeng Zhang (6 shared papers)Xiaoli Nie (6 shared papers)Wei Wu (1 shared paper)Bingrong Li (4 shared papers)Hongliang Shen (1 shared paper)Long Yuan (3 shared papers)Fangyuan Jing (2 shared papers)
- Journals
- International Journal of Medical Sciences (3 papers)Journal of Cancer (2 papers)Acupuncture in Medicine (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Postgraduate Medical Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zixiang Geng
18 papers receiving 293 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 113
- Reproductive Medicine 34
- Obstetrics and Gynecology 26
- Pulmonary and Respiratory Medicine 85
- Immunology 54
Countries citing papers authored by Zixiang Geng
This map shows the geographic impact of Zixiang Geng'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 Zixiang Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zixiang Geng more than expected).
Fields of papers citing papers by Zixiang Geng
This network shows the impact of papers produced by Zixiang Geng. 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 Zixiang Geng. The network helps show where Zixiang Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Zixiang Geng, 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 | 2021 | 51 | |
| 2 | 2022 | 43 | |
| 3 | 2023 | 35 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Zixiang Geng
Zixiang Geng is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Complementary and alternative medicine and Physiology, having authored 20 papers that have together received 294 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (5 papers), Ferroptosis and cancer prognosis (3 papers), Gut microbiota and health (3 papers), Endometriosis Research and Treatment (3 papers), Reproductive System and Pregnancy (3 papers), Cancer-related molecular mechanisms research (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (113 citations), Reproductive Medicine (34 citations), Obstetrics and Gynecology (26 citations), Pulmonary and Respiratory Medicine (85 citations) and Immunology (54 citations). Zixiang Geng has collaborated with scholars based in China and United States. Frequent co-authors include Te Liu, Bimeng Zhang, Xiaoli Nie, Wei Wu, Bingrong Li, Hongliang Shen, Long Yuan, Fangyuan Jing, Gang Zou and Xiling Du. Their work appears in journals such as International Journal of Medical Sciences, Journal of Cancer, Acupuncture in Medicine, Oxidative Medicine and Cellular Longevity and Postgraduate Medical Journal.
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.