Hong Li
Impact in
- Molecular Biology top 0.1%
- Mitochondrial Function and Pathology
- Ion channel regulation and function
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Mitochondrial Function and Pathology 34
- RNA Research and Splicing 31
- RNA modifications and cancer 31
- Redox biology and oxidative stress 26
- Cancer Research 104
- Cancer-related molecular mechanisms research 30
- MicroRNA in disease regulation 29
- Co-authors
- Gonzalo Miguez‐MachoYing FanJunichi SadoshimaAshok KumarClaudio RiveraMohit Raja JainKai KailaTetsuro Ago
- Journals
- Journal of Biological Chemistry (16 papers)PLoS ONE (16 papers)Cancer Research (11 papers)Blood (9 papers)Biochemical and Biophysical Research Communications (8 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hong Li
962 papers receiving 29.2k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Molecular Biology 14.3k
- Cancer Research 2.9k
- Developmental Neuroscience 729
- Cellular and Molecular Neuroscience 2.6k
- Physiology 3.3k
Countries citing papers authored by Hong Li
This map shows the geographic impact of Hong 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 Hong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Li more than expected).
Fields of papers citing papers by Hong Li
This network shows the impact of papers produced by Hong 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 Hong Li. The network helps show where Hong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong 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 | 2025 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 60 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 1 | |
| 15 | 2017 | 75 | |
| 16 | Global Patterns of Groundwater Table Depth Hit paper breakdown → | 2013 | 860 |
| 17 | 2013 | 81 | |
| 18 | 2013 | 10 | |
| 19 | 2008 | 10 | |
| 20 | 2008 | 126 |
About Hong Li
Hong Li is a scholar working on Molecular Biology, Cancer Research, Developmental Neuroscience, Immunology and Clinical Biochemistry, having authored 1.0k papers that have together received 29.7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (40 papers), Mitochondrial Function and Pathology (34 papers), RNA Research and Splicing (31 papers), RNA modifications and cancer (31 papers), Cancer-related molecular mechanisms research (30 papers), MicroRNA in disease regulation (29 papers), Neuroscience and Neuropharmacology Research (26 papers) and Redox biology and oxidative stress (26 papers). The work is most often cited by research in Molecular Biology (14.3k citations), Cancer Research (2.9k citations), Developmental Neuroscience (729 citations), Cellular and Molecular Neuroscience (2.6k citations) and Physiology (3.3k citations). Hong Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Gonzalo Miguez‐Macho, Ying Fan, Junichi Sadoshima, Ashok Kumar, Claudio Rivera, Mohit Raja Jain, Kai Kaila, Tetsuro Ago, Peiyong Zhai and Louis A. Sherman. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Cancer Research, Blood and Biochemical and Biophysical Research Communications.
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.