Joo Seok Han
- Cell Biology top 2%
- Microtubule and mitosis dynamics 5
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 2
- Genetics top 5%
- Bacterial Genetics and Biotechnology 5
- Molecular Biology top 5%
- DNA Repair Mechanisms 7
- Ubiquitin and proteasome pathways 5
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Cancer therapeutics and mechanisms 2
- Aging top 10%
- Co-authors
- Don W. ClevelandDaniele FachinettiAnita KulukianAndrew J. HollandDeog Su HwangClotilde Lagier‐TourenneSeiya TokunagaHuilin Zhou
- Cited by
- Cell BiologyNeurologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (7 papers)
- Partner nations
- South KoreaUnited StatesBelgium
In The Last Decade
Joo Seok Han
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Cell Biology 462
- Neurology 375
- Genetics 238
- Molecular Biology 1.3k
- Aging 24
Countries citing papers authored by Joo Seok Han
This map shows the geographic impact of Joo Seok 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 Joo Seok Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo Seok Han more than expected).
Fields of papers citing papers by Joo Seok Han
This network shows the impact of papers produced by Joo Seok 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 Joo Seok Han. The network helps show where Joo Seok Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joo Seok 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 | 2024 | 1 | |
| 2 | 2022 | 6 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 41 | |
| 5 | 2017 | 12 | |
| 6 | 2015 | 191 | |
| 7 | 2014 | 30 | |
| 8 | 2013 | 80 | |
| 9 | 2013 | 143 | |
| 10 | 2012 | 227 | |
| 11 | 2010 | 345 | |
| 12 | 2009 | 208 | |
| 13 | 2007 | 5 | |
| 14 | 2004 | 25 | |
| 15 | 2003 | 49 | |
| 16 | 2003 | 28 | |
| 17 | 2001 | 37 | |
| 18 | 2001 | 76 | |
| 19 | 1999 | 58 |
About Joo Seok Han
Joo Seok Han is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers), Bacterial Genetics and Biotechnology (5 papers), Ubiquitin and proteasome pathways (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Cell Biology (462 citations), Neurology (375 citations) and Genetics (238 citations). Joo Seok Han has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Don W. Cleveland, Daniele Fachinetti, Anita Kulukian, Andrew J. Holland, Deog Su Hwang, Clotilde Lagier‐Tourenne, Seiya Tokunaga, Huilin Zhou, Claudio P. Albuquerque and Shuo‐Chien Ling. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.