Zhisong He
- Developmental Neuroscience top 2%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 15
- Machine Learning in Bioinformatics 13
- Pluripotent Stem Cells Research 8
- RNA Research and Splicing 8
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 5
- Biological Psychiatry top 10%
- Cancer Research top 10%
- Aging top 10%
-
- Computational Drug Discovery Methods 6
- Co-authors
- Barbara TreutleinJ. Gray CampPhilipp KhaitovichYu‐Dong CaiMałgorzata SantelLe‐Le HuXiangyin KongXiaohe Shi
- Partner nations
- ChinaGermanySwitzerland
In The Last Decade
Zhisong He
57 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Developmental Neuroscience 231
- Molecular Biology 1.9k
- Biological Psychiatry 53
- Cancer Research 247
- Aging 27
Countries citing papers authored by Zhisong He
This map shows the geographic impact of Zhisong He'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 Zhisong He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhisong He more than expected).
Fields of papers citing papers by Zhisong He
This network shows the impact of papers produced by Zhisong He. 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 Zhisong He. The network helps show where Zhisong He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhisong He, 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 | 8 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 9 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 20 | |
| 10 | Inferring and perturbing cell fate regulomes in human brain organoidsbreakdown → | 2022 | 145 |
| 11 | 2021 | 13 | |
| 12 | Organoid single-cell genomic atlas uncovers human-specific features of brain developmentbreakdown → | 2019 | 445 |
| 13 | 2018 | 17 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 17 | |
| 16 | 2014 | 53 | |
| 17 | 2013 | 8 | |
| 18 | 2010 | 129 | |
| 19 | 2010 | 63 | |
| 20 | 2007 | 34 |
About Zhisong He
Zhisong He is a scholar working on Biological Psychiatry, Molecular Biology and Behavioral Neuroscience, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (15 papers), Machine Learning in Bioinformatics (13 papers), Pluripotent Stem Cells Research (8 papers), RNA Research and Splicing (8 papers), Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Developmental Neuroscience (231 citations), Molecular Biology (1.9k citations) and Biological Psychiatry (53 citations). Zhisong He has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Barbara Treutlein, J. Gray Camp, Philipp Khaitovich, Yu‐Dong Cai, Małgorzata Santel, Le‐Le Hu, Xiangyin Kong, Xiaohe Shi, Jonas Simon Fleck and Fátima Sanchís-Calleja. 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.