Kexi Wang
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
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- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Photosynthetic Processes and Mechanisms
- Epigenetics and DNA Methylation
Papers in
- Surgery 8
- Esophageal Cancer Research and Treatment 7
-
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 2
- Co-authors
- Song‐Tao Liu (5 shared papers)Tim J. Yen (3 shared papers)Aaron R. Tipton (3 shared papers)Gordon K. Chan (1 shared paper)James C. Hittle (1 shared paper)Dawn Macdonald (1 shared paper)Danielle Sitry-Shevah (1 shared paper)Avram Hershko (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Annals of Medicine (2 papers)Frontiers in Oncology (2 papers)Environmental Research Communications (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Kexi Wang
29 papers receiving 569 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 235
- Molecular Biology 357
- Molecular Medicine 17
- Cancer Research 40
- Aging 5
Countries citing papers authored by Kexi Wang
This map shows the geographic impact of Kexi 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 Kexi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kexi Wang more than expected).
Fields of papers citing papers by Kexi Wang
This network shows the impact of papers produced by Kexi 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 Kexi Wang. The network helps show where Kexi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kexi 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 114 | |
| 2 | 2014 | 97 | |
| 3 | 2022 | 59 | |
| 4 | 2013 | 46 | |
| 5 | 2011 | 46 | |
| 6 | 2012 | 45 | |
| 7 | 2012 | 30 | |
| 8 | 2015 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2024 | 18 | |
| 11 | Development and clinical validation of a necroptosis-related gene signature for prediction of prognosis and tumor immunity in lung adenocarcinoma. | 2022 | 9 |
| 12 | 2022 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2009 | 3 | |
| 20 | 2022 | 2 |
About Kexi Wang
Kexi Wang is a scholar working on Surgery, Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine and Computer Networks and Communications, having authored 31 papers that have together received 577 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (7 papers), Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (3 papers), Ferroptosis and cancer prognosis (2 papers), Imbalanced Data Classification Techniques (2 papers), Genomics and Chromatin Dynamics (2 papers), Wireless Communication Networks Research (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Cell Biology (235 citations), Molecular Biology (357 citations), Molecular Medicine (17 citations), Cancer Research (40 citations) and Aging (5 citations). Kexi Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Song‐Tao Liu, Tim J. Yen, Aaron R. Tipton, Gordon K. Chan, James C. Hittle, Dawn Macdonald, Danielle Sitry-Shevah, Avram Hershko, Esther Eytan and Shirly Miniowitz-Shemtov. Their work appears in journals such as Journal of Biological Chemistry, Annals of Medicine, Frontiers in Oncology, Environmental Research Communications and Oxidative Medicine and Cellular Longevity.
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.