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
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Cancer-related gene regulation 2
- RNA and protein synthesis mechanisms 2
- 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)Yujin Lee (7 shared papers)Hae‐Eun H. Park (7 shared papers)Sang‐Soon Park (7 shared papers)Heehwa G. Son (5 shared papers)Wooseon Hwang (4 shared papers)
- Journals
- Nature Communications (4 papers)Aging Cell (3 papers)Experimental & Molecular Medicine (2 papers)Oncotarget (2 papers)Cancer Letters (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Seokjin Ham
27 papers receiving 680 citations
Peers
Comparison fields: 5 of 91
- Aging 140
- Hematology 71
- Endocrine and Autonomic Systems 36
- Neuropsychology and Physiological Psychology 8
- Immunology 113
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 | 117 | |
| 2 | 2016 | 76 | |
| 3 | 2017 | 59 | |
| 4 | 2020 | 45 | |
| 5 | 2021 | 36 | |
| 6 | 2016 | 36 | |
| 7 | 2013 | 33 | |
| 8 | 2019 | 31 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2014 | 26 | |
| 13 | 2018 | 23 | |
| 14 | 2019 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2024 | 8 |
About Seokjin Ham
Seokjin Ham is a scholar working on Molecular Biology, Aging, Cell Biology, Cancer Research and Surgery, having authored 28 papers that have together received 680 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer-related gene regulation (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (140 citations), Hematology (71 citations), Endocrine and Autonomic Systems (36 citations), Neuropsychology and Physiological Psychology (8 citations) and Immunology (113 citations). Seokjin Ham has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Tae‐Young Roh, Seung‐Jae Lee, Jihwan Park, Yujin Lee, Hae‐Eun H. Park, Sang‐Soon Park, Heehwa G. Son, Wooseon Hwang, Dong-Yeop Lee and Sujeong Kwon. Their work appears in journals such as Nature Communications, Aging Cell, Experimental & Molecular Medicine, Oncotarget and Cancer Letters.
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.