Hongda Li
Impact in
- Developmental Neuroscience top 2%
- Genetics top 2%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 4
- Genetics 12
- Genetics and Neurodevelopmental Disorders 11
- Co-authors
- Qiang Chang (14 shared papers)Xiaofen Zhong (6 shared papers)Joseph G. Gleeson (4 shared papers)Laura Saucedo-Cuevas (3 shared papers)Gene E. Ananiev (2 shared papers)Sujan Shresta (3 shared papers)Guoping Fan (1 shared paper)Yuan Gao (1 shared paper)
- Journals
- Neuron (2 papers)Nature Communications (2 papers)PLoS Genetics (2 papers)Nature Neuroscience (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hongda Li
48 papers receiving 2.4k citations
Hongda Li's Hit Papers
Peers
Comparison fields: 5 of 115
- Developmental Neuroscience 177
- Genetics 710
- Molecular Biology 1.4k
- Cognitive Neuroscience 273
- Infectious Diseases 224
Countries citing papers authored by Hongda Li
This map shows the geographic impact of Hongda 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 Hongda Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongda Li more than expected).
Fields of papers citing papers by Hongda Li
This network shows the impact of papers produced by Hongda 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 Hongda Li. The network helps show where Hongda Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongda 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain Hit paper breakdown → | 2013 | 544 |
| 2 | 2020 | 226 | |
| 3 | 2016 | 213 | |
| 4 | 2011 | 162 | |
| 5 | 2014 | 158 | |
| 6 | 2011 | 125 | |
| 7 | 2016 | 99 | |
| 8 | 2011 | 90 | |
| 9 | 2012 | 61 | |
| 10 | 2016 | 61 | |
| 11 | 2019 | 61 | |
| 12 | 2020 | 58 | |
| 13 | 2014 | 53 | |
| 14 | 2016 | 51 | |
| 15 | 2015 | 49 | |
| 16 | 2022 | 47 | |
| 17 | 2014 | 40 | |
| 18 | 2013 | 36 | |
| 19 | 2022 | 30 | |
| 20 | 2014 | 28 |
About Hongda Li
Hongda Li is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (11 papers), Epigenetics and DNA Methylation (8 papers), Autism Spectrum Disorder Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA modifications and cancer (4 papers), Virology and Viral Diseases (3 papers), Mosquito-borne diseases and control (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Developmental Neuroscience (177 citations), Genetics (710 citations), Molecular Biology (1.4k citations), Cognitive Neuroscience (273 citations) and Infectious Diseases (224 citations). Hongda Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qiang Chang, Xiaofen Zhong, Joseph G. Gleeson, Laura Saucedo-Cuevas, Gene E. Ananiev, Sujan Shresta, Guoping Fan, Yuan Gao, Joo Heon Shin and Chun Zhong. Their work appears in journals such as Neuron, Nature Communications, PLoS Genetics, Nature Neuroscience and Journal of Biological Chemistry.
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.