Haijun Li
Impact in
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 6
- Genomics and Phylogenetic Studies 4
- RNA Research and Splicing 4
- Gut microbiota and health 4
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- Cancer-related molecular mechanisms research 19
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Jing Sun (3 shared papers)Jiaming Liu (3 shared papers)Huahong Yang (1 shared paper)Hongming Lv (1 shared paper)Xinxin Ci (1 shared paper)Liping Peng (1 shared paper)Zongxin Ling (1 shared paper)Kuan‐Pin Su (1 shared paper)
- Journals
- Radiation Oncology (2 papers)Sensors and Actuators B Chemical (2 papers)International Immunopharmacology (2 papers)Expert Opinion on Investigational Drugs (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Haijun Li
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 82
- Cancer Research 393
- Neurology 109
- Molecular Biology 844
- Neurology 111
Countries citing papers authored by Haijun Li
This map shows the geographic impact of Haijun Li'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 Haijun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Li more than expected).
Fields of papers citing papers by Haijun Li
This network shows the impact of papers produced by Haijun Li. 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 Haijun Li. The network helps show where Haijun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Li, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 202 | |
| 2 | 2020 | 188 | |
| 3 | 2020 | 136 | |
| 4 | 2019 | 108 | |
| 5 | 2019 | 78 | |
| 6 | 2020 | 68 | |
| 7 | 2019 | 48 | |
| 8 | 2010 | 40 | |
| 9 | 2019 | 34 | |
| 10 | 2013 | 32 | |
| 11 | 2013 | 29 | |
| 12 | 2021 | 28 | |
| 13 | 2019 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2022 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2019 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 15 |
About Haijun Li
Haijun Li is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Neurology and Immunology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), Circular RNAs in diseases (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), RNA modifications and cancer (6 papers), Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (4 papers), Gut microbiota and health (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Cancer Research (393 citations), Neurology (109 citations), Molecular Biology (844 citations) and Neurology (111 citations). Haijun Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing Sun, Jiaming Liu, Huahong Yang, Hongming Lv, Xinxin Ci, Liping Peng, Zongxin Ling, Kuan‐Pin Su, Tianyu Gong and Yu Kong. Their work appears in journals such as Radiation Oncology, Sensors and Actuators B Chemical, International Immunopharmacology, Expert Opinion on Investigational Drugs and Frontiers in Pharmacology.
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.