Hanhui Ma

3.0k total citations · 1 hit paper
39 papers, 2.0k citations indexed

About

Hanhui Ma is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Hanhui Ma has authored 39 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Oncology. Recurrent topics in Hanhui Ma's work include CRISPR and Genetic Engineering (15 papers), Genomics and Chromatin Dynamics (9 papers) and RNA and protein synthesis mechanisms (8 papers). Hanhui Ma is often cited by papers focused on CRISPR and Genetic Engineering (15 papers), Genomics and Chromatin Dynamics (9 papers) and RNA and protein synthesis mechanisms (8 papers). Hanhui Ma collaborates with scholars based in China, United States and Japan. Hanhui Ma's co-authors include Thoru Pederson, Ardalan Naseri, Shaojie Zhang, Li‐Chun Tu, David Grünwald, Pablo Reyes‐Gutierrez, Maximiliaan Huisman, Scot A. Wolfe, Qi Liu and Bin Duan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hanhui Ma

35 papers receiving 2.0k citations

Hit Papers

DeepCRISPR: optimized CRISPR guide RNA design by deep lea... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DeepCRISPR: optimized CRISPR guide RNA design by deep learning
    2018 356 citations Guohui Chuai, Hanhui Ma et al. Genome biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hanhui Ma China 19 1.8k 234 230 119 118 39 2.0k
John C. Manteiga United States 4 2.0k 1.1× 214 0.9× 157 0.7× 67 0.6× 40 0.3× 6 2.1k
Sowmya Iyer United States 14 2.0k 1.1× 200 0.9× 465 2.0× 158 1.3× 143 1.2× 18 2.2k
Florence M. Chardon United States 8 742 0.4× 59 0.3× 162 0.7× 123 1.0× 34 0.3× 12 851
Mitchell L. Leibowitz United States 8 1.0k 0.5× 252 1.1× 425 1.8× 130 1.1× 42 0.4× 9 1.3k
Olivia S. Rissland United States 18 2.2k 1.2× 87 0.4× 167 0.7× 181 1.5× 20 0.2× 34 2.5k
Martin R.G. Taylor United Kingdom 8 1.6k 0.9× 137 0.6× 243 1.1× 452 3.8× 22 0.2× 9 1.7k
Antoine Cléry Switzerland 26 2.4k 1.3× 150 0.6× 94 0.4× 104 0.9× 17 0.1× 36 2.5k
Matthew A. Coelho United Kingdom 9 708 0.4× 28 0.1× 112 0.5× 403 3.4× 29 0.2× 12 1.1k
Beatrice Rondinelli United States 6 1.5k 0.8× 147 0.6× 214 0.9× 585 4.9× 11 0.1× 6 1.6k

Countries citing papers authored by Hanhui Ma

Since Specialization
Citations

This map shows the geographic impact of Hanhui 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 Hanhui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanhui Ma more than expected).

Fields of papers citing papers by Hanhui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanhui 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 Hanhui Ma. The network helps show where Hanhui Ma may publish in the future.

Co-authorship network of co-authors of Hanhui Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hanhui Ma. A scholar is included among the top collaborators of Hanhui Ma 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 Hanhui Ma. Hanhui Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Simeng, Cenfeng Chu, S. Dai, et al.. (2025). Deciphering enhancers of hearing loss genes for efficient and targeted gene therapy of hereditary deafness. Neuron. 113(10). 1579–1596.e5. 1 indexed citations
2.
Jiang, Shi‐You, Zhu Ming, Yaozhong Hu, et al.. (2025). Nuclear SREBP2 condensates regulate the transcriptional activation of lipogenic genes and cholesterol homeostasis. Nature Metabolism. 7(5). 1034–1051. 2 indexed citations
3.
Gu, Feng, et al.. (2024). Engineering miniature IscB nickase for robust base editing with broad targeting range. Nature Chemical Biology. 20(12). 1629–1639. 16 indexed citations
4.
Liu, Siyuan, et al.. (2024). Engineering CjCas9 for Efficient Base Editing and Prime Editing. The CRISPR Journal. 7(6). 395–405. 1 indexed citations
5.
Jiang, Wei, et al.. (2024). Engineering miniature CRISPR-Cas Un1Cas12f1 for efficient base editing. Molecular Therapy — Nucleic Acids. 35(2). 102201–102201. 8 indexed citations
6.
Guo, Li, et al.. (2023). The local density of H3K9me3 dictates the stability of HP1α condensates-mediated genomic interactions. Journal of genetics and genomics. 50(10). 776–785. 1 indexed citations
7.
Wang, Tengfei, Yuanyuan Shi, Peipei Jiang, et al.. (2023). Chemical-induced phase transition and global conformational reorganization of chromatin. Nature Communications. 14(1). 5556–5556. 15 indexed citations
8.
Wang, Lijie, Wei Xue, Hongxia Zhang, et al.. (2021). Eliminating base-editor-induced genome-wide and transcriptome-wide off-target mutations. Nature Cell Biology. 23(5). 552–563. 71 indexed citations
9.
Wang, Yao, Xiangnan Wang, Xiaohui He, et al.. (2020). Simultaneous epigenetic perturbation and genome imaging reveal distinct roles of H3K9me3 in chromatin architecture and transcription. Genome biology. 21(1). 296–296. 34 indexed citations
10.
Zarębski, Mirosław, et al.. (2019). STRIDE—a fluorescence method for direct, specific in situ detection of individual single- or double-strand DNA breaks in fixed cells. Nucleic Acids Research. 48(3). e14–e14. 25 indexed citations
11.
Ma, Hanhui, Li‐Chun Tu, Yu-Chieh Chung, et al.. (2019). Cell cycle– and genomic distance–dependent dynamics of a discrete chromosomal region. The Journal of Cell Biology. 218(5). 1467–1477. 37 indexed citations
12.
Duan, Bin, Chi Zhou, Chengyu Zhu, et al.. (2019). Model-based understanding of single-cell CRISPR screening. Nature Communications. 10(1). 2233–2233. 67 indexed citations
13.
Ma, Hanhui, Li‐Chun Tu, Ardalan Naseri, et al.. (2018). CRISPR-Sirius: RNA scaffolds for signal amplification in genome imaging. Nature Methods. 15(11). 928–931. 111 indexed citations
14.
Chuai, Guohui, Hanhui Ma, Jifang Yan, et al.. (2018). DeepCRISPR: optimized CRISPR guide RNA design by deep learning. Genome biology. 19(1). 80–80. 356 indexed citations breakdown →
15.
Ma, Hanhui, Li‐Chun Tu, Ardalan Naseri, et al.. (2016). Interrogation of CRISPR Dynamics with Fluorescent Single Guide RNAs in Live Cells. Biophysical Journal. 110(3). 362a–363a.
16.
Ma, Hanhui, Janel R. McLean, Kathleen L. Gould, & Dannel McCollum. (2014). An Efficient Fluorescent Protein-Based Multifunctional Affinity Purification Approach in Mammalian Cells. Methods in molecular biology. 1177. 175–191. 1 indexed citations
17.
Ma, Hanhui & Thoru Pederson. (2013). The nucleolus stress response is coupled to an ATR-Chk1–mediated G2 arrest. Molecular Biology of the Cell. 24(9). 1334–1342. 39 indexed citations
18.
Ma, Hanhui & Thoru Pederson. (2008). Nucleophosmin Is a Binding Partner of Nucleostemin in Human Osteosarcoma Cells. Molecular Biology of the Cell. 19(7). 2870–2875. 22 indexed citations
19.
Ma, Hanhui & Thoru Pederson. (2007). Depletion of the Nucleolar Protein Nucleostemin Causes G1 Cell Cycle Arrest via the p53 Pathway. Molecular Biology of the Cell. 18(7). 2630–2635. 91 indexed citations
20.

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.

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