Jun Pu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Ion channel regulation and function
- RNA Research and Splicing
Papers in
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- RNA modifications and cancer 10
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 3
- Advanced biosensing and bioanalysis techniques 3
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- Cancer-related molecular mechanisms research 10
- Co-authors
- Xiulin Jiang (16 shared papers)Yongbin Chen (5 shared papers)Zhi Nie (6 shared papers)Yulin Shi (4 shared papers)Cuiping Yang (4 shared papers)Yixiao Yuan (7 shared papers)Liping Jiang (2 shared papers)Xi Chen (7 shared papers)
- Journals
- Frontiers in Oncology (5 papers)Aging (5 papers)Frontiers in Molecular Biosciences (2 papers)Signal Transduction and Targeted Therapy (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Jun Pu
36 papers receiving 315 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 75
- Molecular Biology 170
- Oncology 55
- Genetics 18
- Pulmonary and Respiratory Medicine 33
Countries citing papers authored by Jun Pu
This map shows the geographic impact of Jun Pu'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 Jun Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pu more than expected).
Fields of papers citing papers by Jun Pu
This network shows the impact of papers produced by Jun Pu. 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 Jun Pu. The network helps show where Jun Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Pu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 47 | |
| 2 | 2019 | 30 | |
| 3 | 2002 | 23 | |
| 4 | 2021 | 22 | |
| 5 | 2023 | 22 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 13 | |
| 8 | 2025 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2025 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2014 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2011 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 5 |
About Jun Pu
Jun Pu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Neurology, having authored 39 papers that have together received 317 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (10 papers), Glioma Diagnosis and Treatment (7 papers), Ferroptosis and cancer prognosis (6 papers), Circular RNAs in diseases (3 papers), Neuroblastoma Research and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Cancer Research (75 citations), Molecular Biology (170 citations), Oncology (55 citations), Genetics (18 citations) and Pulmonary and Respiratory Medicine (33 citations). Jun Pu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Xiulin Jiang, Yongbin Chen, Zhi Nie, Yulin Shi, Cuiping Yang, Yixiao Yuan, Liping Jiang, Xi Chen, Kun Liu and Fan Zhou. Their work appears in journals such as Frontiers in Oncology, Aging, Frontiers in Molecular Biosciences, Signal Transduction and Targeted Therapy and Cell Death and Differentiation.
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.