Ronghong Li
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 3
- Bioinformatics and Genomic Networks 2
- Single-cell and spatial transcriptomics 2
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Xia Li (8 shared papers)Shangwei Ning (7 shared papers)Jingrun Ye (6 shared papers)Zuxianglan Zhao (5 shared papers)Peng Wang (4 shared papers)Tingting Wang (3 shared papers)Hui Zhi (3 shared papers)Zheng Guo (1 shared paper)
- Journals
- PLoS ONE (5 papers)Nature Communications (2 papers)Scientific Reports (1 paper)Genome biology (1 paper)Nature Immunology (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Ronghong Li
18 papers receiving 609 citations
Ronghong Li's Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 336
- Molecular Biology 426
- Reproductive Medicine 40
- Immunology 48
- Genetics 50
Countries citing papers authored by Ronghong Li
This map shows the geographic impact of Ronghong 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 Ronghong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronghong Li more than expected).
Fields of papers citing papers by Ronghong Li
This network shows the impact of papers produced by Ronghong 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 Ronghong Li. The network helps show where Ronghong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronghong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 177 | |
| 2 | 2016 | 108 | |
| 3 | 2019 | 74 | |
| 4 | 2014 | 45 | |
| 5 | 2018 | 44 | |
| 6 | Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age Hit paper breakdown → | 2025 | 37 |
| 7 | 2018 | 18 | |
| 8 | 2014 | 18 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2012 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 2 |
About Ronghong Li
Ronghong Li is a scholar working on Molecular Biology, Cancer Research, Immunology, Plant Science and Genetics, having authored 18 papers that have together received 617 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers), T-cell and B-cell Immunology (2 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (336 citations), Molecular Biology (426 citations), Reproductive Medicine (40 citations), Immunology (48 citations) and Genetics (50 citations). Ronghong Li has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Xia Li, Shangwei Ning, Jingrun Ye, Zuxianglan Zhao, Peng Wang, Tingting Wang, Hui Zhi, Zheng Guo, Yunpeng Zhang and Ligang Wu. Their work appears in journals such as PLoS ONE, Nature Communications, Scientific Reports, Genome biology and Nature Immunology.
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.