Jing Chu
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
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- Endometrial and Cervical Cancer Treatments
Papers in
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- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 2
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- Neuroblastoma Research and Treatments 8
- Co-authors
- Bin Pan (2 shared papers)Genlong Jiao (1 shared paper)Caiyong Lai (1 shared paper)Junfeng Liu (1 shared paper)Hao Xuan Sun (2 shared papers)Wenjuan Yu (4 shared papers)Xiaojun Liu (2 shared papers)Yan Liu (4 shared papers)
In The Last Decade
Jing Chu
32 papers receiving 288 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 39
- Obstetrics and Gynecology 19
- Pulmonary and Respiratory Medicine 66
- Molecular Biology 90
- Food Science 24
Countries citing papers authored by Jing Chu
This map shows the geographic impact of Jing Chu'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 Jing Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Chu more than expected).
Fields of papers citing papers by Jing Chu
This network shows the impact of papers produced by Jing Chu. 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 Jing Chu. The network helps show where Jing Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Chu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 53 | |
| 2 | 2019 | 34 | |
| 3 | 2016 | 29 | |
| 4 | 2021 | 26 | |
| 5 | 2023 | 18 | |
| 6 | 2024 | 18 | |
| 7 | Renal biopsy diagnosis of acute lymphocytic leukemia. | 1992 | 14 |
| 8 | 2020 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2024 | 10 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 4 | |
| 16 | [Diagnostic utility of S100A1, GLUT-1 and Caveolin-1 in renal tumors with oncocytic features: a comparative study]. | 2015 | 4 |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Jing Chu
Jing Chu is a scholar working on Cancer Research, Neurology, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 35 papers that have together received 293 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (4 papers), Renal cell carcinoma treatment (3 papers), Renal and related cancers (3 papers), Immune cells in cancer (2 papers), RNA modifications and cancer (2 papers), MicroRNA in disease regulation (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (39 citations), Obstetrics and Gynecology (19 citations), Pulmonary and Respiratory Medicine (66 citations), Molecular Biology (90 citations) and Food Science (24 citations). Jing Chu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Bin Pan, Genlong Jiao, Caiyong Lai, Junfeng Liu, Hao Xuan Sun, Wenjuan Yu, Xiaojun Liu, Yan Liu, Yujun Li and Chen‐Yu Zhang. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, Journal of Cellular and Molecular Medicine, BioMed Research International and International Journal of Medical Sciences.
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.