Ji Eun Han
Impact in
- Genetics top 10%
- Genetic Syndromes and Imprinting
- Genetics and Neurodevelopmental Disorders
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 5
- Genetics 6
- Genetic Syndromes and Imprinting 5
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Benjamin D. Philpot (7 shared papers)Matthew C. Judson (3 shared papers)Mark J. Zylka (3 shared papers)Michael L. Wallace (3 shared papers)Rylan S. Larsen (4 shared papers)Jayalakshmi Miriyala (2 shared papers)Ikuko T. Smith (2 shared papers)Richard J. Weinberg (1 shared paper)
- Journals
- Fertility and Sterility (3 papers)Neuron (3 papers)International Immunopharmacology (2 papers)PLoS ONE (2 papers)Archives of Pharmacal Research (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Ji Eun Han
16 papers receiving 485 citations
Peers
Comparison fields: 5 of 66
- Genetics 267
- Cellular and Molecular Neuroscience 103
- Cognitive Neuroscience 78
- Molecular Biology 242
- Developmental Neuroscience 11
Countries citing papers authored by Ji Eun Han
This map shows the geographic impact of Ji Eun Han'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 Ji Eun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Eun Han more than expected).
Fields of papers citing papers by Ji Eun Han
This network shows the impact of papers produced by Ji Eun Han. 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 Ji Eun Han. The network helps show where Ji Eun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Han, 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 | 2016 | 122 | |
| 2 | 2013 | 106 | |
| 3 | 2014 | 68 | |
| 4 | 2012 | 48 | |
| 5 | 2014 | 28 | |
| 6 | 2016 | 25 | |
| 7 | 2014 | 19 | |
| 8 | 2012 | 17 | |
| 9 | 2020 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2009 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2013 | 6 | |
| 14 | 2014 | 1 | |
| 15 | 2004 | 1 | |
| 16 | 2001 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2020 | 0 | |
| 19 | 2020 | 0 | |
| 20 | 2010 | 0 |
About Ji Eun Han
Ji Eun Han is a scholar working on Molecular Biology, Genetics, Immunology, Epidemiology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 489 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (5 papers), RNA modifications and cancer (5 papers), Immune Response and Inflammation (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Metabolism and Genetic Disorders (2 papers), Hepatitis B Virus Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Genetics (267 citations), Cellular and Molecular Neuroscience (103 citations), Cognitive Neuroscience (78 citations), Molecular Biology (242 citations) and Developmental Neuroscience (11 citations). Ji Eun Han has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Benjamin D. Philpot, Matthew C. Judson, Mark J. Zylka, Michael L. Wallace, Rylan S. Larsen, Jayalakshmi Miriyala, Ikuko T. Smith, Richard J. Weinberg, Spencer L. Smith and A Burette. Their work appears in journals such as Fertility and Sterility, Neuron, International Immunopharmacology, PLoS ONE and Archives of Pharmacal Research.
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.