Hongkui Zeng
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 0.5%
- Cognitive Neuroscience top 0.2%
- Endocrine and Autonomic Systems top 0.2%
- Neurology top 0.2%
- Co-authors
- Linda MadisenEd S. LeinSeung Wook OhMichael HawrylyczLydia NgSusan M. SunkinHatim A. ZariwalaHong Gu
- Topics
- Neural dynamics and brain function (42 papers)Neuroscience and Neuropharmacology Research (28 papers)Single-cell and spatial transcriptomics (24 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsDevelopmental Neuroscience
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Hongkui Zeng
124 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cellular and Molecular Neuroscience 6.9k
- Molecular Biology 6.6k
- Cognitive Neuroscience 4.5k
- Endocrine and Autonomic Systems 2.2k
- Neurology 1.6k
Countries citing papers authored by Hongkui Zeng
This map shows the geographic impact of Hongkui Zeng'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 Hongkui Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongkui Zeng more than expected).
Fields of papers citing papers by Hongkui Zeng
This network shows the impact of papers produced by Hongkui Zeng. 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 Hongkui Zeng. The network helps show where Hongkui Zeng may publish in the future.
Co-authorship network of co-authors of Hongkui Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Hongkui Zeng. A scholar is included among the top collaborators of Hongkui Zeng 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 Hongkui Zeng. Hongkui Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 38 | |
| 7 | 35 | |
| 8 | 33 | |
| 9 | 17 | |
| 10 | 23 | |
| 11 | 27 | |
| 12 | 173 | |
| 13 | 38 | |
| 14 | 93 | |
| 15 | 90 | |
| 16 | 58 | |
| 17 | 10 | |
| 18 | 129 | |
| 19 | Differential Control of Learning and Anxiety along the Dorsoventral Axis of the Dentate Gyrusbreakdown → | 529 |
| 20 | 69 |
About Hongkui Zeng
Hongkui Zeng is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 128 papers that have together received 16.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (42 papers), Neuroscience and Neuropharmacology Research (28 papers) and Single-cell and spatial transcriptomics (24 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.9k citations), Endocrine and Autonomic Systems (2.2k citations) and Developmental Neuroscience (1.2k citations). Hongkui Zeng has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Linda Madisen, Ed S. Lein, Seung Wook Oh, Michael Hawrylycz, Lydia Ng, Susan M. Sunkin, Hatim A. Zariwala, Hong Gu, Allan R. Jones and Richard D. Palmiter. Their work appears in journals such as Nature, Science and Cell.
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.