Jinjun Zhao
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- FOXO transcription factor regulation
- RNA modifications and cancer
- Kruppel-like factors research
Papers in
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- Circular RNAs in diseases 5
- Kruppel-like factors research 3
- FOXO transcription factor regulation 3
- Wnt/β-catenin signaling in development and cancer 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Min Yang (7 shared papers)Qingqing Ouyang (8 shared papers)Qin Huang (6 shared papers)Dingji Zhu (4 shared papers)Guo‐Ping Shi (2 shared papers)Aiju Lou (2 shared papers)Ran Wang (3 shared papers)Jing Wu (1 shared paper)
- Journals
- Oncology Reports (2 papers)Molecular Immunology (2 papers)Oncotarget (2 papers)Clinical and Experimental Rheumatology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jinjun Zhao
25 papers receiving 632 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 352
- Molecular Biology 499
- Rheumatology 94
- Aging 8
- Immunology 68
Countries citing papers authored by Jinjun Zhao
This map shows the geographic impact of Jinjun Zhao'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 Jinjun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjun Zhao more than expected).
Fields of papers citing papers by Jinjun Zhao
This network shows the impact of papers produced by Jinjun Zhao. 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 Jinjun Zhao. The network helps show where Jinjun Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinjun Zhao, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 134 | |
| 2 | 2018 | 76 | |
| 3 | 2016 | 67 | |
| 4 | 2020 | 62 | |
| 5 | 2015 | 45 | |
| 6 | 2019 | 39 | |
| 7 | 2016 | 34 | |
| 8 | 2016 | 29 | |
| 9 | 2021 | 23 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2016 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2023 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 3 |
About Jinjun Zhao
Jinjun Zhao is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Oncology and Genetics, having authored 25 papers that have together received 641 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Kruppel-like factors research (3 papers), FOXO transcription factor regulation (3 papers), Musculoskeletal synovial abnormalities and treatments (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (352 citations), Molecular Biology (499 citations), Rheumatology (94 citations), Aging (8 citations) and Immunology (68 citations). Jinjun Zhao has collaborated with scholars based in China, United States and India. Frequent co-authors include Min Yang, Qingqing Ouyang, Qin Huang, Dingji Zhu, Guo‐Ping Shi, Aiju Lou, Ran Wang, Jing Wu, Jide Wang and Side Liu. Their work appears in journals such as Oncology Reports, Molecular Immunology, Oncotarget, Clinical and Experimental Rheumatology and Scientific Reports.
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.