Hongmei Chen
- Molecular Biology top 5%
- Genetics top 2%
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 2%
- Co-authors
- Huda Y. ZoghbiJohn W. SwannMatthew C. WestonNathaniel HeintzJong W. YooJohn L.R. RubensteinShiaoching GongMingshan Xue
- Topics
- Animal Virus Infections Studies (8 papers)Advanced biosensing and bioanalysis techniques (7 papers)Virus-based gene therapy research (7 papers)
- Journals
- NatureCirculationNeuron
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Hongmei Chen
69 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.5k
- Genetics 1.1k
- Cognitive Neuroscience 793
- Cellular and Molecular Neuroscience 503
- Developmental Neuroscience 177
Countries citing papers authored by Hongmei Chen
This map shows the geographic impact of Hongmei Chen'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 Hongmei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongmei Chen more than expected).
Fields of papers citing papers by Hongmei Chen
This network shows the impact of papers produced by Hongmei Chen. 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 Hongmei Chen. The network helps show where Hongmei Chen may publish in the future.
Co-authorship network of co-authors of Hongmei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Hongmei Chen. A scholar is included among the top collaborators of Hongmei Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongmei Chen. Hongmei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 26 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 18 | |
| 13 | 12 | |
| 14 | 18 | |
| 15 | 149 | |
| 16 | 38 | |
| 17 | GENOMIC CHARACTERIZATIONS OF A PARVOVIRUS ISOLATED FROM GOOSE | 3 |
| 18 | Heterotic grouping of 27 maize inbred lined divided by simple sequence repeats (SSR) markers and yields. | 1 |
| 19 | Studies on combining ability and heterotic grouping of 24 quality protein maize inbreds and four temperate representative inbreds of Chinese major heterotic groups | 6 |
| 20 | Investigation on species, distribution and damage of termites on forest trees in Sanming District of Fujian Province | 1 |
About Hongmei Chen
Hongmei Chen is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Developmental Neuroscience (177 citations), Cognitive Neuroscience (793 citations) and Genetics (1.1k citations). Hongmei Chen has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Huda Y. Zoghbi, John W. Swann, Matthew C. Weston, Nathaniel Heintz, Jong W. Yoo, John L.R. Rubenstein, Shiaoching Gong, Mingshan Xue, Jeffrey L. Noebels and Rodney C. Samaco. Their work appears in journals such as Nature, Circulation and Neuron.
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.