Liya Gu
Impact in
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
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- DNA Repair Mechanisms 36
- RNA Research and Splicing 12
- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 8
- Genomics and Chromatin Dynamics 8
-
- Genetic factors in colorectal cancer 42
- Co-authors
- Guo‐Min Li (49 shared papers)Guogen Mao (10 shared papers)Fenghua Yuan (14 shared papers)Jian Huang (7 shared papers)Feng Li (4 shared papers)Yanbin Zhang (10 shared papers)Dan Tong (3 shared papers)Wei Yang (2 shared papers)
- Journals
- Journal of Biological Chemistry (21 papers)Cell Research (4 papers)Nucleic Acids Research (4 papers)Proceedings of the National Academy of Sciences (4 papers)The FASEB Journal (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Liya Gu
66 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 107
- Pathology and Forensic Medicine 1.0k
- Cancer Research 638
- Molecular Biology 2.4k
- Immunology 282
- Oncology 337
Countries citing papers authored by Liya Gu
This map shows the geographic impact of Liya Gu'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 Liya Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liya Gu more than expected).
Fields of papers citing papers by Liya Gu
This network shows the impact of papers produced by Liya Gu. 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 Liya Gu. The network helps show where Liya Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liya Gu, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 437 | |
| 2 | 2005 | 301 | |
| 3 | 1998 | 184 | |
| 4 | 2020 | 173 | |
| 5 | 1999 | 117 | |
| 6 | 2004 | 115 | |
| 7 | 2007 | 101 | |
| 8 | 2008 | 97 | |
| 9 | 2018 | 87 | |
| 10 | 2012 | 83 | |
| 11 | 2002 | 69 | |
| 12 | 2018 | 67 | |
| 13 | 2002 | 66 | |
| 14 | 2015 | 59 | |
| 15 | 2009 | 54 | |
| 16 | 1996 | 51 | |
| 17 | 2005 | 46 | |
| 18 | 2004 | 45 | |
| 19 | 2004 | 43 | |
| 20 | 2009 | 41 |
About Liya Gu
Liya Gu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Cellular and Molecular Neuroscience and Oncology, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (42 papers), DNA Repair Mechanisms (36 papers), Cancer Genomics and Diagnostics (12 papers), RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (8 papers), Genomics and Chromatin Dynamics (8 papers) and Genetic Neurodegenerative Diseases (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Cancer Research (638 citations), Molecular Biology (2.4k citations), Immunology (282 citations) and Oncology (337 citations). Liya Gu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Guo‐Min Li, Guogen Mao, Fenghua Yuan, Jian Huang, Feng Li, Yanbin Zhang, Dan Tong, Wei Yang, Steven R. Presnell and Janice Ortega. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Nucleic Acids Research, Proceedings of the National Academy of Sciences and The FASEB 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.