Seokjin Ham
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 3
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
- Co-authors
- Tae‐Young Roh (17 shared papers)Seung‐Jae Lee (13 shared papers)Jihwan Park (3 shared papers)Wooseon Hwang (4 shared papers)Yujin Lee (7 shared papers)Hae‐Eun H. Park (7 shared papers)Heehwa G. Son (4 shared papers)Sang‐Soon Park (7 shared papers)
- Journals
- Nature Communications (4 papers)Aging Cell (3 papers)Experimental & Molecular Medicine (2 papers)Oncotarget (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Seokjin Ham
27 papers receiving 648 citations
Peers
Comparison fields: 5 of 94
- Aging 136
- Hematology 74
- Immunology 123
- Neuropsychology and Physiological Psychology 8
- Endocrine and Autonomic Systems 35
Countries citing papers authored by Seokjin Ham
This map shows the geographic impact of Seokjin Ham'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 Seokjin Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokjin Ham more than expected).
Fields of papers citing papers by Seokjin Ham
This network shows the impact of papers produced by Seokjin Ham. 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 Seokjin Ham. The network helps show where Seokjin Ham may publish in the future.
Co-authors
The 25 scholars most cited alongside Seokjin Ham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2016 | 74 | |
| 3 | 2017 | 57 | |
| 4 | 2020 | 43 | |
| 5 | 2021 | 35 | |
| 6 | 2016 | 35 | |
| 7 | 2013 | 33 | |
| 8 | 2019 | 31 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2014 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2018 | 23 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2020 | 7 |
About Seokjin Ham
Seokjin Ham is a scholar working on Molecular Biology, Aging, Cell Biology, Physiology and Immunology, having authored 28 papers that have together received 652 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (3 papers), Plant Molecular Biology Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (136 citations), Hematology (74 citations), Immunology (123 citations), Neuropsychology and Physiological Psychology (8 citations) and Endocrine and Autonomic Systems (35 citations). Seokjin Ham has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Tae‐Young Roh, Seung‐Jae Lee, Jihwan Park, Wooseon Hwang, Yujin Lee, Hae‐Eun H. Park, Heehwa G. Son, Sang‐Soon Park, Dong-Yeop Lee and Yoonji Jung. Their work appears in journals such as Nature Communications, Aging Cell, Experimental & Molecular Medicine, Oncotarget and The Journal of Cell Biology.
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.