Hanhui Ma
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 15
- Genomics and Chromatin Dynamics 9
- RNA and protein synthesis mechanisms 8
- RNA Research and Splicing 7
- Advanced biosensing and bioanalysis techniques 6
- RNA regulation and disease 4
- RNA modifications and cancer 4
- Genetics 8
- Co-authors
- Thoru Pederson (14 shared papers)Ardalan Naseri (7 shared papers)Shaojie Zhang (7 shared papers)Li‐Chun Tu (5 shared papers)David Grünwald (5 shared papers)Pablo Reyes‐Gutierrez (2 shared papers)Maximiliaan Huisman (2 shared papers)Scot A. Wolfe (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Molecular Biology of the Cell (4 papers)Nature Communications (2 papers)Genome biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hanhui Ma
35 papers receiving 2.0k citations
Hanhui Ma's Hit Papers
Peers
Comparison fields: 5 of 92
- Business and International Management 118
- Aging 99
- Molecular Biology 1.8k
- Biophysics 74
- Genetics 230
Countries citing papers authored by Hanhui Ma
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
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-authors
The 25 scholars most cited alongside Hanhui 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepCRISPR: optimized CRISPR guide RNA design by deep learning Hit paper breakdown → | 2018 | 356 |
| 2 | 2016 | 330 | |
| 3 | 2015 | 308 | |
| 4 | 2016 | 148 | |
| 5 | 2018 | 111 | |
| 6 | 2013 | 93 | |
| 7 | 2007 | 91 | |
| 8 | 2021 | 71 | |
| 9 | 2019 | 67 | |
| 10 | 2008 | 46 | |
| 11 | 2013 | 39 | |
| 12 | 2019 | 37 | |
| 13 | 2020 | 34 | |
| 14 | 2012 | 29 | |
| 15 | 2004 | 28 | |
| 16 | 2022 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2008 | 22 | |
| 20 | 2017 | 18 |
About Hanhui Ma
Hanhui Ma is a scholar working on Molecular Biology, Genetics, Oncology, Ecology and Surgery, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Genomics and Chromatin Dynamics (9 papers), RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), RNA regulation and disease (4 papers), Cancer-related Molecular Pathways (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Business and International Management (118 citations), Aging (99 citations), Molecular Biology (1.8k citations), Biophysics (74 citations) and Genetics (230 citations). Hanhui Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Thoru Pederson, Ardalan Naseri, Shaojie Zhang, Li‐Chun Tu, David Grünwald, Pablo Reyes‐Gutierrez, Maximiliaan Huisman, Scot A. Wolfe, Bin Duan and Qi Liu. Their work appears in journals such as Nucleic Acids Research, Molecular Biology of the Cell, Nature Communications, Genome biology 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.