Zhongjun Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Circular RNAs in diseases 12
- RNA modifications and cancer 8
-
- MicroRNA in disease regulation 23
- Cancer-related molecular mechanisms research 16
- Co-authors
- Xufu Wei (24 shared papers)Daofeng Zheng (19 shared papers)Tong Mou (20 shared papers)Zuotian Huang (30 shared papers)Ai Shen (15 shared papers)Chengyong Tang (12 shared papers)Junliang Pu (15 shared papers)Rui Liu (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Frontiers in Immunology (4 papers)International Immunopharmacology (3 papers)Oncotarget (3 papers)Acta Biochimica et Biophysica Sinica (3 papers)
- Partner nations
- ChinaUnited StatesPanama
In The Last Decade
Zhongjun Wu
113 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 578
- Hepatology 293
- Immunology 362
- Molecular Biology 862
- Epidemiology 315
Countries citing papers authored by Zhongjun Wu
This map shows the geographic impact of Zhongjun 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 Zhongjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongjun Wu more than expected).
Fields of papers citing papers by Zhongjun Wu
This network shows the impact of papers produced by Zhongjun 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 Zhongjun Wu. The network helps show where Zhongjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhongjun 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 135 | |
| 2 | 2013 | 95 | |
| 3 | 2020 | 86 | |
| 4 | 2017 | 81 | |
| 5 | 2015 | 70 | |
| 6 | 2019 | 57 | |
| 7 | 2019 | 52 | |
| 8 | 2013 | 50 | |
| 9 | 2018 | 49 | |
| 10 | 2018 | 46 | |
| 11 | 2016 | 43 | |
| 12 | 2017 | 42 | |
| 13 | 2022 | 41 | |
| 14 | 2013 | 39 | |
| 15 | 2020 | 38 | |
| 16 | 2021 | 37 | |
| 17 | 2021 | 34 | |
| 18 | 2016 | 34 | |
| 19 | 2024 | 33 | |
| 20 | 2022 | 32 |
About Zhongjun Wu
Zhongjun Wu is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Epidemiology, having authored 119 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (23 papers), Cancer-related molecular mechanisms research (16 papers), Organ Transplantation Techniques and Outcomes (14 papers), Circular RNAs in diseases (12 papers), RNA modifications and cancer (8 papers), interferon and immune responses (7 papers), Autophagy in Disease and Therapy (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Cancer Research (578 citations), Hepatology (293 citations), Immunology (362 citations), Molecular Biology (862 citations) and Epidemiology (315 citations). Zhongjun Wu has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Xufu Wei, Daofeng Zheng, Tong Mou, Zuotian Huang, Ai Shen, Chengyong Tang, Junliang Pu, Rui Liu, Yunhai Luo and Tingxiu Xiang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology, International Immunopharmacology, Oncotarget and Acta Biochimica et Biophysica Sinica.
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.