Chunbo He
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
-
- Cancer-related molecular mechanisms research
Papers in
-
- Kruppel-like factors research 3
- RNA Research and Splicing 3
- Cell Biology 10
- Hippo pathway signaling and YAP/TAZ 8
- Microtubule and mitosis dynamics 3
- Co-authors
- Cheng Wang (13 shared papers)John S. Davis (13 shared papers)Xiangmin Lv (11 shared papers)Guohua Hua (10 shared papers)Jixin Dong (8 shared papers)Xingcheng Chen (5 shared papers)Jin Zhou (4 shared papers)Peter C. Angeletti (4 shared papers)
- Journals
- Cell Death and Disease (3 papers)Neuropeptides (2 papers)Clinical Cancer Research (2 papers)Cancer Letters (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chunbo He
33 papers receiving 908 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 294
- Cancer Research 129
- Molecular Biology 452
- Reproductive Medicine 48
- Oncology 122
Countries citing papers authored by Chunbo He
This map shows the geographic impact of Chunbo He'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 Chunbo He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunbo He more than expected).
Fields of papers citing papers by Chunbo He
This network shows the impact of papers produced by Chunbo He. 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 Chunbo He. The network helps show where Chunbo He may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunbo He, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 213 | |
| 2 | 2019 | 94 | |
| 3 | 2014 | 86 | |
| 4 | 2013 | 81 | |
| 5 | 2022 | 77 | |
| 6 | 2019 | 51 | |
| 7 | 2019 | 48 | |
| 8 | 2015 | 39 | |
| 9 | 2023 | 38 | |
| 10 | 2017 | 33 | |
| 11 | 2016 | 32 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2016 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2002 | 5 |
About Chunbo He
Chunbo He is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Oncology and Cancer Research, having authored 37 papers that have together received 918 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (8 papers), Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (4 papers), Microtubule and mitosis dynamics (3 papers), Kruppel-like factors research (3 papers), RNA Research and Splicing (3 papers), Estrogen and related hormone effects (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cell Biology (294 citations), Cancer Research (129 citations), Molecular Biology (452 citations), Reproductive Medicine (48 citations) and Oncology (122 citations). Chunbo He has collaborated with scholars based in China and United States. Frequent co-authors include Cheng Wang, John S. Davis, Xiangmin Lv, Guohua Hua, Jixin Dong, Xingcheng Chen, Jin Zhou, Peter C. Angeletti, Steven W. Remmenga and Paul F. Lambert. Their work appears in journals such as Cell Death and Disease, Neuropeptides, Clinical Cancer Research, Cancer Letters and The FASEB 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.