Yan Geng
- Biomaterials top 0.5%
- Oncology top 0.5%
- Cancer-related Molecular Pathways 28
- Molecular Biology top 0.5%
- Gut microbiota and health 20
- Epigenetics and DNA Methylation 12
- Cell Biology top 0.5%
- Surfaces, Coatings and Films top 1%
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- Fungal Biology and Applications 17
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- Liver Disease Diagnosis and Treatment 17
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- Liver physiology and pathology 10
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- Optical Network Technologies 9
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- Quantum Dots Synthesis And Properties 8
- Co-authors
- Dennis E. DischerPiotr SicińskiJang‐Kyo KimTamara MinkoShenshen CaiManorama TewariPaul DalhaimerRichard Tsai
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Nutrients (6 papers)IEEE Photonics Technology Letters (5 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Yan Geng
235 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Biomaterials 1.9k
- Oncology 3.5k
- Molecular Biology 6.3k
- Cell Biology 1.2k
- Surfaces, Coatings and Films 523
Countries citing papers authored by Yan Geng
This map shows the geographic impact of Yan 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 Yan Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Geng more than expected).
Fields of papers citing papers by Yan Geng
This network shows the impact of papers produced by Yan 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 Yan Geng. The network helps show where Yan Geng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 0 | |
| 14 | CDK4 and CDK6 kinases: From basic science to cancer therapybreakdown → | 2022 | 261 |
| 15 | 2022 | 34 | |
| 16 | 2022 | 15 | |
| 17 | 2019 | 90 | |
| 18 | 2018 | 30 | |
| 19 | 2009 | 11 | |
| 20 | 2008 | 22 |
About Yan Geng
Yan Geng is a scholar working on Hepatology, Oncology and Molecular Biology, having authored 256 papers that have together received 15.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (28 papers), Gut microbiota and health (20 papers), Fungal Biology and Applications (17 papers), Liver Disease Diagnosis and Treatment (17 papers), Epigenetics and DNA Methylation (12 papers), Liver physiology and pathology (10 papers), Optical Network Technologies (9 papers) and Quantum Dots Synthesis And Properties (8 papers). The work is most often cited by research in Biomaterials (1.9k citations), Oncology (3.5k citations) and Molecular Biology (6.3k citations). Yan Geng has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Dennis E. Discher, Piotr Siciński, Jang‐Kyo Kim, Tamara Minko, Shenshen Cai, Manorama Tewari, Paul Dalhaimer, Richard Tsai, Shujun Wang and Ewa Sicińska. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nutrients, IEEE Photonics Technology Letters, PLoS ONE and Cell.
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.