J. Gu
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- RNA modifications and cancer 4
- DNA Repair Mechanisms 2
- Glycosylation and Glycoproteins Research 1
- RNA Research and Splicing 1
- Oncology 5
- Drug Transport and Resistance Mechanisms 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Xin Wei Wang (1 shared paper)Heidi Yeh (1 shared paper)Kathleen Forrester (1 shared paper)C C Harris (1 shared paper)Mark A. Feitelson (1 shared paper)Wei Jia (1 shared paper)Ming Su (1 shared paper)Yang Liu (1 shared paper)
- Journals
- The Journal of Biochemistry (2 papers)Journal of Thrombosis and Haemostasis (1 paper)Journal of Clinical Microbiology (1 paper)Oncogene (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
J. Gu
12 papers receiving 1.1k citations
J. Gu's Hit Papers
Peers
Comparison fields: 5 of 82
- Hepatology 181
- Oncology 399
- Epidemiology 374
- Biotechnology 100
- Cancer Research 153
Countries citing papers authored by J. Gu
This map shows the geographic impact of J. 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 J. Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Gu more than expected).
Fields of papers citing papers by J. Gu
This network shows the impact of papers produced by J. 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 J. Gu. The network helps show where J. Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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
| # | Work | ||
|---|---|---|---|
| 1 | Hepatitis B virus X protein inhibits p53 sequence-specific DNA binding, transcriptional activity, and association with transcription factor ERCC3. Hit paper breakdown → | 1994 | 599 |
| 2 | 2006 | 149 | |
| 3 | 1992 | 87 | |
| 4 | 2012 | 86 | |
| 5 | A novel growth suppressor gene on chromosome 17p13.3 with a high frequency of mutation in human hepatocellular carcinoma. | 2001 | 43 |
| 6 | 2013 | 41 | |
| 7 | 1991 | 26 | |
| 8 | 2013 | 24 | |
| 9 | 2007 | 17 | |
| 10 | 2008 | 6 | |
| 11 | Expression of N-ras gene in human primary hepatocarcinoma. | 1986 | 6 |
| 12 | 2024 | 5 |
About J. Gu
J. Gu is a scholar working on Molecular Biology, Oncology, Epidemiology, Hepatology and Infectious Diseases, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), DNA Repair Mechanisms (2 papers), Hepatitis B Virus Studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer-related Molecular Pathways (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Glycosylation and Glycoproteins Research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Hepatology (181 citations), Oncology (399 citations), Epidemiology (374 citations), Biotechnology (100 citations) and Cancer Research (153 citations). J. Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xin Wei Wang, Heidi Yeh, Kathleen Forrester, C C Harris, Mark A. Feitelson, Wei Jia, Ming Su, Yang Liu, Yunping Qiu and Chien‐Chung Huang. Their work appears in journals such as The Journal of Biochemistry, Journal of Thrombosis and Haemostasis, Journal of Clinical Microbiology, Oncogene and JNCI Journal of the National Cancer Institute.
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.