Jian Gu
Impact in
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- Nuclear Receptors and Signaling
- Immunology top 10%
- Macrophage Migration Inhibitory Factor
Papers in
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- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Retinoids in leukemia and cellular processes 2
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- Galectins and Cancer Biology 1
- Reproductive System and Pregnancy 1
- Co-authors
- Marcia I. Dawson (2 shared papers)Peter D. Hobbs (2 shared papers)Xihua Cao (1 shared paper)Hui Li (1 shared paper)Feng Lin (1 shared paper)Zhihua Xie (1 shared paper)John C. Reed (1 shared paper)Bingzhen Lin (1 shared paper)
- Journals
- Genes & Development (1 paper)International Journal of Cancer (1 paper)Biomedical Reports (1 paper)Science (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Jian Gu
7 papers receiving 843 citations
Jian Gu's Hit Papers
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 348
- Immunology 267
- Molecular Biology 567
- Cancer Research 91
- Obstetrics and Gynecology 41
Countries citing papers authored by Jian Gu
This map shows the geographic impact of Jian 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 Jian Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Gu more than expected).
Fields of papers citing papers by Jian Gu
This network shows the impact of papers produced by Jian 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 Jian Gu. The network helps show where Jian Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jian 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 | Cytochrome c Release and Apoptosis Induced by Mitochondrial Targeting of Nuclear Orphan Receptor TR3 Hit paper breakdown → | 2000 | 568 |
| 2 | 2001 | 164 | |
| 3 | 2004 | 61 | |
| 4 | 2015 | 45 | |
| 5 | 2000 | 18 | |
| 6 | [Correlaion between serum Golph2 protein and hepatocellular carcinoma]. | 2009 | 4 |
| 7 | [Effects of some traditional Chinese drugs on Mdr1 gene and its expression product in K562/A02 cells]. | 2008 | 3 |
About Jian Gu
Jian Gu is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Oncology, having authored 7 papers that have together received 863 indexed citations. Recurring topics across this work include Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Retinoids in leukemia and cellular processes (2 papers), MicroRNA in disease regulation (1 paper), Galectins and Cancer Biology (1 paper), Cancer-related Molecular Pathways (1 paper), Reproductive System and Pregnancy (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (348 citations), Immunology (267 citations), Molecular Biology (567 citations), Cancer Research (91 citations) and Obstetrics and Gynecology (41 citations). Jian Gu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Marcia I. Dawson, Peter D. Hobbs, Xihua Cao, Hui Li, Feng Lin, Zhihua Xie, John C. Reed, Bingzhen Lin, Siva K. Kolluri and Joseph A. Fontana. Their work appears in journals such as Genes & Development, International Journal of Cancer, Biomedical Reports, Science and Molecular and Cellular Biology.
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.