Hongkai Ji
Impact in
- Aging top 1%
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- FOXO transcription factor regulation
- Gene expression and cancer classification
- Hedgehog Signaling Pathway Studies
- Pluripotent Stem Cells Research
Papers in
-
- Genomics and Chromatin Dynamics 32
- Epigenetics and DNA Methylation 20
- Gene expression and cancer classification 19
- Single-cell and spatial transcriptomics 18
- RNA Research and Splicing 13
- Hedgehog Signaling Pathway Studies 9
- Gene Regulatory Network Analysis 8
- Co-authors
- Zhicheng JiWing Hung WongSteven A. VokesWing H. WongWenxiu MaAndrew P. McMahonHui JiangR Myers
- Journals
- Nature Communications (9 papers)Bioinformatics (7 papers)Nucleic Acids Research (6 papers)Cell (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Hongkai Ji
123 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Aging 193
- Molecular Biology 5.4k
- Cancer Research 686
- Plant Science 1.2k
- Developmental Neuroscience 132
Countries citing papers authored by Hongkai Ji
This map shows the geographic impact of Hongkai Ji'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 Hongkai Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongkai Ji more than expected).
Fields of papers citing papers by Hongkai Ji
This network shows the impact of papers produced by Hongkai Ji. 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 Hongkai Ji. The network helps show where Hongkai Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongkai Ji, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 26 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 51 | |
| 18 | 2017 | 114 | |
| 19 | 2015 | 67 | |
| 20 | 2007 | 226 |
About Hongkai Ji
Hongkai Ji is a scholar working on Molecular Biology, Obstetrics and Gynecology, Cancer Research, Pediatrics, Perinatology and Child Health and Aging, having authored 126 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (32 papers), Epigenetics and DNA Methylation (20 papers), Gene expression and cancer classification (19 papers), Single-cell and spatial transcriptomics (18 papers), RNA Research and Splicing (13 papers), Birth, Development, and Health (11 papers), Hedgehog Signaling Pathway Studies (9 papers) and Gene Regulatory Network Analysis (8 papers). The work is most often cited by research in Aging (193 citations), Molecular Biology (5.4k citations), Cancer Research (686 citations), Plant Science (1.2k citations) and Developmental Neuroscience (132 citations). Hongkai Ji has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zhicheng Ji, Wing Hung Wong, Steven A. Vokes, Wing H. Wong, Wenxiu Ma, Andrew P. McMahon, Hui Jiang, R Myers, David S. Johnson and Weiqiang Zhou. Their work appears in journals such as Nature Communications, Bioinformatics, Nucleic Acids Research, Cell and Proceedings of the National Academy of Sciences.
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.