Ha Eun Kong
Impact in
-
- Genetic Neurodegenerative Diseases
- Aging top 10%
Papers in
-
- Genetic Neurodegenerative Diseases 4
- Genetics 5
- Genetics and Neurodevelopmental Disorders 5
- Co-authors
- Lunzhi Dai (2 shared papers)Henrik Molina (2 shared papers)Robert G. Roeder (2 shared papers)Vladimir Yong‐Gonzalez (2 shared papers)Zhanyun Tang (2 shared papers)Miho Shimada (2 shared papers)Justin R. Cross (2 shared papers)Yingming Zhao (2 shared papers)
- Journals
- Journal of the American Academy of Dermatology (3 papers)Molecular Cell (2 papers)Human Molecular Genetics (2 papers)Pediatric Dermatology (2 papers)JAAD International (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ha Eun Kong
18 papers receiving 1.2k citations
Ha Eun Kong's Hit Papers
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 357
- Aging 26
- Geriatrics and Gerontology 47
- Molecular Biology 888
- Business and International Management 22
Countries citing papers authored by Ha Eun Kong
This map shows the geographic impact of Ha Eun Kong'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 Ha Eun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ha Eun Kong more than expected).
Fields of papers citing papers by Ha Eun Kong
This network shows the impact of papers produced by Ha Eun Kong. 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 Ha Eun Kong. The network helps show where Ha Eun Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ha Eun Kong, 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 | Intracellular Crotonyl-CoA Stimulates Transcription through p300-Catalyzed Histone Crotonylation Hit paper breakdown → | 2015 | 525 |
| 2 | 2017 | 319 | |
| 3 | 2019 | 246 | |
| 4 | 2018 | 50 | |
| 5 | 2017 | 37 | |
| 6 | 2015 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 0 |
About Ha Eun Kong
Ha Eun Kong is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Cell Biology and Dermatology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (5 papers), Ubiquitin and proteasome pathways (5 papers), Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Dermatology and Skin Diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (357 citations), Aging (26 citations), Geriatrics and Gerontology (47 citations), Molecular Biology (888 citations) and Business and International Management (22 citations). Ha Eun Kong has collaborated with scholars based in United States and China. Frequent co-authors include Lunzhi Dai, Henrik Molina, Robert G. Roeder, Vladimir Yong‐Gonzalez, Zhanyun Tang, Miho Shimada, Justin R. Cross, Yingming Zhao, Benjamin R. Sabari and He Huang. Their work appears in journals such as Journal of the American Academy of Dermatology, Molecular Cell, Human Molecular Genetics, Pediatric Dermatology and JAAD International.
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.