Kerui Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Extracellular vesicles in disease 8
- RNA modifications and cancer 4
- Oncology 13
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 3
- Co-authors
- Kounosuke Watabe (28 shared papers)Fei Xing (23 shared papers)Sambad Sharma (21 shared papers)Shih-Ying Wu (16 shared papers)Yin‐Yuan Mo (10 shared papers)Yin Liu (7 shared papers)Abhishek Tyagi (16 shared papers)Radhika Pochampally (3 shared papers)
- Journals
- Cancer Research (12 papers)Nature Communications (3 papers)EMBO Molecular Medicine (2 papers)Journal of Biological Chemistry (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kerui Wu
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 684
- Oncology 418
- Molecular Biology 881
- Genetics 118
- Pulmonary and Respiratory Medicine 337
Countries citing papers authored by Kerui Wu
This map shows the geographic impact of Kerui Wu'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 Kerui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerui Wu more than expected).
Fields of papers citing papers by Kerui Wu
This network shows the impact of papers produced by Kerui Wu. 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 Kerui Wu. The network helps show where Kerui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kerui Wu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 259 | |
| 2 | 2013 | 234 | |
| 3 | 2013 | 146 | |
| 4 | 2017 | 133 | |
| 5 | 2015 | 106 | |
| 6 | 2021 | 104 | |
| 7 | 2016 | 102 | |
| 8 | 2016 | 87 | |
| 9 | 2020 | 77 | |
| 10 | 2023 | 52 | |
| 11 | 2019 | 32 | |
| 12 | 2020 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2023 | 16 | |
| 16 | 2014 | 11 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 5 |
About Kerui Wu
Kerui Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (6 papers), Immunotherapy and Immune Responses (6 papers), Brain Metastases and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (684 citations), Oncology (418 citations), Molecular Biology (881 citations), Genetics (118 citations) and Pulmonary and Respiratory Medicine (337 citations). Kerui Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kounosuke Watabe, Fei Xing, Sambad Sharma, Shih-Ying Wu, Yin‐Yuan Mo, Yin Liu, Abhishek Tyagi, Radhika Pochampally, Michael D. Chan and Yin Liu. Their work appears in journals such as Cancer Research, Nature Communications, EMBO Molecular Medicine, Journal of Biological Chemistry and Oncogene.
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.