Kailong Ma
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
Papers in
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- Cell Image Analysis Techniques 3
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- Single-cell and spatial transcriptomics 7
- Genomics and Phylogenetic Studies 4
- Molecular Biology Techniques and Applications 4
- Co-authors
- Sitao Zhu (1 shared paper)Wenbin Chen (1 shared paper)Yue Yao (1 shared paper)Gang Lin Hu (1 shared paper)Weiqing Liu (1 shared paper)Huifang Lü (1 shared paper)Bei Gao (1 shared paper)Alisdair Robert Fernie (1 shared paper)
In The Last Decade
Kailong Ma
24 papers receiving 2.5k citations
Kailong Ma's Hit Papers
Peers
Comparison fields: 5 of 121
- Biophysics 180
- Molecular Biology 1.8k
- Cancer Research 219
- Neurology 110
- Immunology 262
Countries citing papers authored by Kailong Ma
This map shows the geographic impact of Kailong Ma'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 Kailong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailong Ma more than expected).
Fields of papers citing papers by Kailong Ma
This network shows the impact of papers produced by Kailong Ma. 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 Kailong Ma. The network helps show where Kailong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kailong Ma, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays Hit paper breakdown → | 2022 | 1057 |
| 2 | 2016 | 230 | |
| 3 | Single-cell Stereo-seq reveals induced progenitor cells involved in axolotl brain regeneration Hit paper breakdown → | 2022 | 197 |
| 4 | 2016 | 147 | |
| 5 | 2017 | 144 | |
| 6 | 2023 | 122 | |
| 7 | Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays. | 2022 | 116 |
| 8 | 2023 | 110 | |
| 9 | 2022 | 108 | |
| 10 | 2019 | 72 | |
| 11 | 2019 | 63 | |
| 12 | 2023 | 52 | |
| 13 | 2018 | 28 | |
| 14 | 2025 | 18 | |
| 15 | 2023 | 14 | |
| 16 | 2025 | 7 | |
| 17 | 2025 | 7 | |
| 18 | 2025 | 7 | |
| 19 | 2025 | 5 | |
| 20 | 2025 | 3 |
About Kailong Ma
Kailong Ma is a scholar working on Biophysics, Molecular Biology, Neurology, Materials Chemistry and Genetics, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Genomics and Phylogenetic Studies (4 papers), Molecular Biology Techniques and Applications (4 papers), Ferroelectric and Piezoelectric Materials (4 papers), Cell Image Analysis Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Dielectric materials and actuators (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Biophysics (180 citations), Molecular Biology (1.8k citations), Cancer Research (219 citations), Neurology (110 citations) and Immunology (262 citations). Kailong Ma has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Sitao Zhu, Wenbin Chen, Yue Yao, Gang Lin Hu, Weiqing Liu, Huifang Lü, Bei Gao, Alisdair Robert Fernie, Youjun Zhang and Xue Zhang. Their work appears in journals such as GigaScience, Journal of Energy Storage, Cell, Horticulture Research 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.