Haining Li
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- Mitochondrial Function and Pathology
- RNA modifications and cancer
- Extracellular vesicles in disease
- Glycosylation and Glycoproteins Research
Papers in
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- Mitochondrial Function and Pathology 4
- Metabolomics and Mass Spectrometry Studies 3
- Coenzyme Q10 studies and effects 2
- DNA Repair Mechanisms 2
- Co-authors
- Changzheng Wang (3 shared papers)Wei Li (1 shared paper)Qianli Ma (1 shared paper)Huanhuan Zhang (1 shared paper)Qiao Zhang (1 shared paper)Xu Yang (1 shared paper)Austin W.T. Chiang (3 shared papers)Ying Zhou (1 shared paper)
- Journals
- Frontiers in Neurology (2 papers)Journal of Integrative Neuroscience (1 paper)Scientific Reports (1 paper)Neurochemical Research (1 paper)Journal of Biochemical and Molecular Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Haining Li
39 papers receiving 578 citations
Peers
Comparison fields: 5 of 120
- Molecular Medicine 49
- Molecular Biology 299
- Cancer Research 50
- Immunology 68
- Clinical Biochemistry 20
Countries citing papers authored by Haining Li
This map shows the geographic impact of Haining 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 Haining Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Li more than expected).
Fields of papers citing papers by Haining Li
This network shows the impact of papers produced by Haining 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 Haining Li. The network helps show where Haining Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 73 | |
| 2 | 2018 | 61 | |
| 3 | 2022 | 52 | |
| 4 | 2022 | 47 | |
| 5 | 2012 | 37 | |
| 6 | 2022 | 25 | |
| 7 | 2016 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2012 | 20 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2021 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2013 | 11 | |
| 20 | 2022 | 11 |
About Haining Li
Haining Li is a scholar working on Molecular Biology, Epidemiology, Neurology, Information Systems and Immunology, having authored 46 papers that have together received 593 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Coenzyme Q10 studies and effects (2 papers), Neonatal Health and Biochemistry (2 papers), Cloud Computing and Resource Management (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (49 citations), Molecular Biology (299 citations), Cancer Research (50 citations), Immunology (68 citations) and Clinical Biochemistry (20 citations). Haining Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Changzheng Wang, Wei Li, Qianli Ma, Huanhuan Zhang, Qiao Zhang, Xu Yang, Austin W.T. Chiang, Ying Zhou, Jin Yang and Nathan E. Lewis. Their work appears in journals such as Frontiers in Neurology, Journal of Integrative Neuroscience, Scientific Reports, Neurochemical Research and Journal of Biochemical and Molecular Toxicology.
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.