Ha Eun Kong
Impact in
- Geriatrics and Gerontology top 5%
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- Mitochondrial Function and Pathology 3
- Genetics 4
- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Justin R. Cross (1 shared paper)Henrik Molina (1 shared paper)Robert G. Roeder (1 shared paper)Vladimir Yong‐Gonzalez (1 shared paper)Lunzhi Dai (1 shared paper)Zhanyun Tang (1 shared paper)Miho Shimada (1 shared paper)He Huang (1 shared paper)
- Journals
- Pediatric Dermatology (2 papers)Human Molecular Genetics (2 papers)Frontiers in Cellular Neuroscience (1 paper)JAAD International (1 paper)Journal of Cutaneous Pathology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ha Eun Kong
14 papers receiving 838 citations
Ha Eun Kong's Hit Papers
Peers
Comparison fields: 5 of 73
- Geriatrics and Gerontology 43
- Aging 23
- Molecular Biology 691
- Business and International Management 20
- Cellular and Molecular Neuroscience 143
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 | 489 |
| 2 | 2017 | 281 | |
| 3 | 2017 | 30 | |
| 4 | 2015 | 14 | |
| 5 | 2018 | 13 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2015 | 3 | |
| 9 | 2025 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 0 |
About Ha Eun Kong
Ha Eun Kong is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Dermatology and Cognitive Neuroscience, having authored 15 papers that have together received 850 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (4 papers), Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (3 papers), Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (3 papers), Autism Spectrum Disorder Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Geriatrics and Gerontology (43 citations), Aging (23 citations), Molecular Biology (691 citations), Business and International Management (20 citations) and Cellular and Molecular Neuroscience (143 citations). Ha Eun Kong has collaborated with scholars based in United States and China. Frequent co-authors include Justin R. Cross, Henrik Molina, Robert G. Roeder, Vladimir Yong‐Gonzalez, Lunzhi Dai, Zhanyun Tang, Miho Shimada, He Huang, Benjamin R. Sabari and Yingming Zhao. Their work appears in journals such as Pediatric Dermatology, Human Molecular Genetics, Frontiers in Cellular Neuroscience, JAAD International and Journal of Cutaneous Pathology.
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.