Huabo Wang
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Aging top 10%
Papers in
-
- Ubiquitin and proteasome pathways 7
- Mitochondrial Function and Pathology 5
- Protein Degradation and Inhibitors 4
- RNA Research and Splicing 4
- Metabolism, Diabetes, and Cancer 3
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- Cancer, Hypoxia, and Metabolism 8
- Co-authors
- Edward V. Prochownik (32 shared papers)Dalia I. Hammoudeh (2 shared papers)Steven J. Metallo (2 shared papers)Ariele Viacava Follis (2 shared papers)Jie Lu (18 shared papers)Steven Fletcher (6 shared papers)John S. Lazo (2 shared papers)Angela Hu (5 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Cells (3 papers)Oncotarget (3 papers)PLoS ONE (3 papers)Advanced Science (2 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Huabo Wang
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 250
- Aging 26
- Molecular Biology 894
- Oncology 220
- Cell Biology 117
Countries citing papers authored by Huabo Wang
This map shows the geographic impact of Huabo Wang'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 Huabo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huabo Wang more than expected).
Fields of papers citing papers by Huabo Wang
This network shows the impact of papers produced by Huabo Wang. 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 Huabo Wang. The network helps show where Huabo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Huabo Wang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 168 | |
| 2 | 2008 | 149 | |
| 3 | 2021 | 84 | |
| 4 | 2015 | 72 | |
| 5 | 2012 | 62 | |
| 6 | 2013 | 44 | |
| 7 | 2016 | 43 | |
| 8 | 2015 | 41 | |
| 9 | 2017 | 40 | |
| 10 | 2014 | 36 | |
| 11 | 2015 | 36 | |
| 12 | 2019 | 33 | |
| 13 | 2018 | 30 | |
| 14 | 2017 | 29 | |
| 15 | 2017 | 28 | |
| 16 | 2015 | 26 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2023 | 18 | |
| 20 | 2015 | 17 |
About Huabo Wang
Huabo Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Surgery, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Mitochondrial Function and Pathology (5 papers), Pancreatic function and diabetes (4 papers), Protein Degradation and Inhibitors (4 papers), RNA Research and Splicing (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cancer Research (250 citations), Aging (26 citations), Molecular Biology (894 citations), Oncology (220 citations) and Cell Biology (117 citations). Huabo Wang has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Edward V. Prochownik, Dalia I. Hammoudeh, Steven J. Metallo, Ariele Viacava Follis, Jie Lu, Steven Fletcher, John S. Lazo, Angela Hu, Brian E. Reese and Jeremy L. Yap. Their work appears in journals such as Journal of Biological Chemistry, Cells, Oncotarget, PLoS ONE and Advanced Science.
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.