Li Ba
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Extracellular vesicles in disease 4
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Chunling Xue (6 shared papers)Xuechun Li (6 shared papers)Robert Chunhua Zhao (5 shared papers)Qin Han (5 shared papers)Junjie Gu (4 shared papers)Yamei Shen (3 shared papers)Zhao Sun (4 shared papers)Fengfei Ding (10 shared papers)
- Journals
- Aging and Disease (3 papers)Stem Cells and Development (3 papers)Journal of Visualized Experiments (2 papers)Clinica Chimica Acta (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Li Ba
50 papers receiving 924 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 226
- Genetics 97
- Rehabilitation 46
- Neurology 53
- Endocrine and Autonomic Systems 40
Countries citing papers authored by Li Ba
This map shows the geographic impact of Li Ba'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 Li Ba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ba more than expected).
Fields of papers citing papers by Li Ba
This network shows the impact of papers produced by Li Ba. 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 Li Ba. The network helps show where Li Ba may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Ba, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 182 | |
| 2 | 2021 | 75 | |
| 3 | 2019 | 71 | |
| 4 | 2019 | 55 | |
| 5 | 2019 | 55 | |
| 6 | 2020 | 43 | |
| 7 | 2019 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2014 | 28 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2024 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2023 | 19 | |
| 16 | 2009 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2022 | 14 |
About Li Ba
Li Ba is a scholar working on Molecular Biology, Cancer Research, Neurology, Surgery and Critical Care and Intensive Care Medicine, having authored 50 papers that have together received 932 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Sleep and Wakefulness Research (3 papers), Head and Neck Cancer Studies (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Cancer Research (226 citations), Genetics (97 citations), Rehabilitation (46 citations), Neurology (53 citations) and Endocrine and Autonomic Systems (40 citations). Li Ba has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chunling Xue, Xuechun Li, Robert Chunhua Zhao, Qin Han, Junjie Gu, Yamei Shen, Zhao Sun, Fengfei Ding, Baitao Ma and Yunfei Chen. Their work appears in journals such as Aging and Disease, Stem Cells and Development, Journal of Visualized Experiments, Clinica Chimica Acta 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.