Gary C. Hon
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 8
- Single-cell and spatial transcriptomics 7
- Pluripotent Stem Cells Research 5
- Congenital heart defects research 4
- Genomics and Chromatin Dynamics 4
- Renal and related cancers 3
- RNA Interference and Gene Delivery 3
- Genetics, Bioinformatics, and Biomedical Research 3
- Genetics top 1%
- Endocrinology top 1%
- Aging top 2%
- Plant Science top 1%
- Co-authors
- Gavin E. CrooksJohn‐Marc ChandoniaSteven E. BrennerJialei DuanJoseph R. NeryRyan ListerMattia PelizzolaRuth T. Yu
- Partner nations
- United StatesFranceChina
In The Last Decade
Gary C. Hon
23 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 9.4k
- Genetics 1.8k
- Endocrinology 306
- Aging 98
- Plant Science 2.0k
Countries citing papers authored by Gary C. Hon
This map shows the geographic impact of Gary C. Hon'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 Gary C. Hon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary C. Hon more than expected).
Fields of papers citing papers by Gary C. Hon
This network shows the impact of papers produced by Gary C. Hon. 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 Gary C. Hon. The network helps show where Gary C. Hon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary C. Hon, 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 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 77 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 7 | |
| 8 | Blastocyst-like structures generated from human pluripotent stem cellsbreakdown → | 2021 | 318 |
| 9 | 2021 | 0 | |
| 10 | 2020 | 66 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 22 | |
| 14 | 2018 | 235 | |
| 15 | 2018 | 193 | |
| 16 | 2017 | 54 | |
| 17 | 2017 | 227 | |
| 18 | Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cellsbreakdown → | 2011 | 1124 |
| 19 | WebLogo: A Sequence Logo Generator: Figure 1breakdown → | 2004 | 9762 |
| 20 | WebLogo: A sequence logo generator, Genome Research, | 2004 | 137 |
About Gary C. Hon
Gary C. Hon is a scholar working on Cancer Research, Molecular Biology, Developmental Neuroscience, Biophysics and Neurology, having authored 24 papers that have together received 12.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Single-cell and spatial transcriptomics (7 papers), Pluripotent Stem Cells Research (5 papers), Congenital heart defects research (4 papers), Genomics and Chromatin Dynamics (4 papers), Renal and related cancers (3 papers), RNA Interference and Gene Delivery (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Molecular Biology (9.4k citations), Genetics (1.8k citations), Endocrinology (306 citations), Aging (98 citations) and Plant Science (2.0k citations). Gary C. Hon has collaborated with scholars based in United States, France and China. Frequent co-authors include Gavin E. Crooks, John‐Marc Chandonia, Steven E. Brenner, Jialei Duan, Joseph R. Nery, Ryan Lister, Mattia Pelizzola, Ruth T. Yu, Bing Ren and Ronan C. O’Malley. Their work appears in journals such as Cell Reports, eLife, Nature, iScience and Scientific Reports.
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.