Lin Gu
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 20
- Hepatitis B Virus Studies 19
- Liver Disease Diagnosis and Treatment 10
- Hepatology 20
- Hepatitis C virus research 19
- Hepatitis Viruses Studies and Epidemiology 3
- Co-authors
- Yuehua Huang (12 shared papers)Lubiao Chen (10 shared papers)Yingli Shi (3 shared papers)Jie Chen (2 shared papers)Yurong Gu (10 shared papers)Xirong Guo (1 shared paper)Liang Zhou (5 shared papers)Xiaoyan Shi (1 shared paper)
- Journals
- Scientific Reports (3 papers)BMC Infectious Diseases (3 papers)Cellular Physiology and Biochemistry (2 papers)Oncotarget (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lin Gu
47 papers receiving 715 citations
Peers
Comparison fields: 5 of 83
- Hepatology 160
- Cancer Research 196
- Reproductive Medicine 107
- Obstetrics and Gynecology 72
- Immunology 148
Countries citing papers authored by Lin Gu
This map shows the geographic impact of Lin 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 Lin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Gu more than expected).
Fields of papers citing papers by Lin Gu
This network shows the impact of papers produced by Lin 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 Lin Gu. The network helps show where Lin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 62 | |
| 2 | 2013 | 56 | |
| 3 | 2008 | 51 | |
| 4 | 2017 | 50 | |
| 5 | 2017 | 47 | |
| 6 | 2018 | 38 | |
| 7 | 2015 | 35 | |
| 8 | 2019 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2006 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2013 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2013 | 13 | |
| 20 | 2013 | 13 |
About Lin Gu
Lin Gu is a scholar working on Epidemiology, Hepatology, Molecular Biology, Oncology and Cancer Research, having authored 48 papers that have together received 725 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (19 papers), Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (10 papers), Breast Cancer Treatment Studies (5 papers), MicroRNA in disease regulation (4 papers), HER2/EGFR in Cancer Research (3 papers), Immune Cell Function and Interaction (3 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). The work is most often cited by research in Hepatology (160 citations), Cancer Research (196 citations), Reproductive Medicine (107 citations), Obstetrics and Gynecology (72 citations) and Immunology (148 citations). Lin Gu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuehua Huang, Lubiao Chen, Yingli Shi, Jie Chen, Yurong Gu, Xirong Guo, Liang Zhou, Xiaoyan Shi, Yifan Lian and Xishan Hao. Their work appears in journals such as Scientific Reports, BMC Infectious Diseases, Cellular Physiology and Biochemistry, Oncotarget and Breast Cancer Research and Treatment.
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.