Bai-Wei Gu
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
Papers in
-
- Retinoids in leukemia and cellular processes 4
- RNA modifications and cancer 3
- Protein Degradation and Inhibitors 2
- Cancer-related gene regulation 2
- Hematology 10
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Sai‐Juan Chen (11 shared papers)Monica Bessler (9 shared papers)Philip J. Mason (9 shared papers)Yongmei Zhu (4 shared papers)Zhanzhong Shi (4 shared papers)Samuel Waxman (2 shared papers)Zhixiang Shen (2 shared papers)Hugues de Thé (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Blood (3 papers)PLoS ONE (2 papers)FEBS Letters (2 papers)The Hematology Journal (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Bai-Wei Gu
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Hematology 436
- Biochemistry 113
- Molecular Biology 894
- Genetics 71
- Aging 12
Countries citing papers authored by Bai-Wei Gu
This map shows the geographic impact of Bai-Wei 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 Bai-Wei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai-Wei Gu more than expected).
Fields of papers citing papers by Bai-Wei Gu
This network shows the impact of papers produced by Bai-Wei 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 Bai-Wei Gu. The network helps show where Bai-Wei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai-Wei 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 447 | |
| 2 | 2008 | 129 | |
| 3 | 1998 | 114 | |
| 4 | 2019 | 92 | |
| 5 | 2008 | 74 | |
| 6 | 1999 | 61 | |
| 7 | 2004 | 57 | |
| 8 | 2006 | 54 | |
| 9 | 2011 | 36 | |
| 10 | 2015 | 29 | |
| 11 | 2002 | 28 | |
| 12 | 2009 | 25 | |
| 13 | 2006 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2001 | 14 | |
| 16 | 2016 | 11 | |
| 17 | 2009 | 7 | |
| 18 | 2009 | 5 | |
| 19 | Analysis of hypermutation of the 5' noncoding region in the BCL-6 gene. | 2001 | 2 |
| 20 | 1998 | 2 |
About Bai-Wei Gu
Bai-Wei Gu is a scholar working on Molecular Biology, Hematology, Physiology, Oncology and Pathology and Forensic Medicine, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Telomeres, Telomerase, and Senescence (7 papers), Retinoids in leukemia and cellular processes (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), RNA modifications and cancer (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related gene regulation (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Hematology (436 citations), Biochemistry (113 citations), Molecular Biology (894 citations), Genetics (71 citations) and Aging (12 citations). Bai-Wei Gu has collaborated with scholars based in United States, China and France. Frequent co-authors include Sai‐Juan Chen, Monica Bessler, Philip J. Mason, Yongmei Zhu, Zhanzhong Shi, Samuel Waxman, Zhixiang Shen, Hugues de Thé, Chen Zhu and Yang Shen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, PLoS ONE, FEBS Letters and The Hematology 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.