Junnan Liang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 11
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Liang Chu (10 shared papers)Jingyuan Wen (14 shared papers)Bixiang Zhang (14 shared papers)Zhao Huang (13 shared papers)Xiaoping Chen (9 shared papers)Jingyu Liao (10 shared papers)Huifang Liang (11 shared papers)Shasha Song (2 shared papers)
- Journals
- Aging (3 papers)Frontiers in Oncology (3 papers)Advanced Science (2 papers)Hepatology (2 papers)Frontiers of Medicine (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Junnan Liang
26 papers receiving 786 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cancer Research 390
- Molecular Biology 583
- Oncology 114
- Geriatrics and Gerontology 13
- Pathology and Forensic Medicine 52
Countries citing papers authored by Junnan Liang
This map shows the geographic impact of Junnan Liang'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 Junnan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junnan Liang more than expected).
Fields of papers citing papers by Junnan Liang
This network shows the impact of papers produced by Junnan Liang. 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 Junnan Liang. The network helps show where Junnan Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junnan Liang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 192 | |
| 2 | 2019 | 116 | |
| 3 | 2022 | 66 | |
| 4 | 2020 | 57 | |
| 5 | 2020 | 52 | |
| 6 | 2023 | 47 | |
| 7 | 2022 | 43 | |
| 8 | 2024 | 39 | |
| 9 | 2021 | 30 | |
| 10 | 2022 | 24 | |
| 11 | 2023 | 19 | |
| 12 | 2021 | 18 | |
| 13 | Neuroscience of cancer: unraveling the complex interplay between the nervous system, the tumor and the tumor immune microenvironment Hit paper breakdown → | 2025 | 16 |
| 14 | 2020 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 4 |
About Junnan Liang
Junnan Liang is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 792 indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Cancer Research (390 citations), Molecular Biology (583 citations), Oncology (114 citations), Geriatrics and Gerontology (13 citations) and Pathology and Forensic Medicine (52 citations). Junnan Liang has collaborated with scholars based in China and United States. Frequent co-authors include Liang Chu, Jingyuan Wen, Bixiang Zhang, Zhao Huang, Xiaoping Chen, Jingyu Liao, Huifang Liang, Shasha Song, Jin Chen and Zeyang Ding. Their work appears in journals such as Aging, Frontiers in Oncology, Advanced Science, Hepatology and Frontiers of Medicine.
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.