Jaegal Shim
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 4
- Natural product bioactivities and synthesis 3
- Ubiquitin and proteasome pathways 2
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Junho Lee (7 shared papers)Jee Young Sung (11 shared papers)Yong-Nyun Kim (8 shared papers)Christopher Rongo (3 shared papers)Paul W. Sternberg (1 shared paper)Jae‐Seon Lee (5 shared papers)Seongseop Kim (3 shared papers)Sung‐Ho Goh (3 shared papers)
- Journals
- Molecules and Cells (5 papers)International Journal of Molecular Sciences (4 papers)Nature Communications (2 papers)Molecular Biology of the Cell (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jaegal Shim
36 papers receiving 859 citations
Peers
Comparison fields: 5 of 94
- Aging 174
- Cell Biology 220
- Cancer Research 117
- Molecular Biology 445
- Endocrine and Autonomic Systems 41
Countries citing papers authored by Jaegal Shim
This map shows the geographic impact of Jaegal Shim'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 Jaegal Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaegal Shim more than expected).
Fields of papers citing papers by Jaegal Shim
This network shows the impact of papers produced by Jaegal Shim. 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 Jaegal Shim. The network helps show where Jaegal Shim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaegal Shim, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2004 | 61 | |
| 3 | 2020 | 60 | |
| 4 | 2000 | 56 | |
| 5 | 2013 | 51 | |
| 6 | 2019 | 48 | |
| 7 | 2014 | 44 | |
| 8 | 2012 | 34 | |
| 9 | 2004 | 32 | |
| 10 | 2000 | 31 | |
| 11 | 2012 | 28 | |
| 12 | 2015 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2010 | 23 | |
| 15 | 2020 | 22 | |
| 16 | 2017 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2008 | 20 | |
| 19 | 2009 | 19 | |
| 20 | 2017 | 14 |
About Jaegal Shim
Jaegal Shim is a scholar working on Molecular Biology, Aging, Cell Biology, Cancer Research and Oncology, having authored 38 papers that have together received 863 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Microtubule and mitosis dynamics (5 papers), Cellular transport and secretion (5 papers), DNA Repair Mechanisms (4 papers), Natural product bioactivities and synthesis (3 papers), Cell Adhesion Molecules Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Aging (174 citations), Cell Biology (220 citations), Cancer Research (117 citations), Molecular Biology (445 citations) and Endocrine and Autonomic Systems (41 citations). Jaegal Shim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Junho Lee, Jee Young Sung, Yong-Nyun Kim, Christopher Rongo, Paul W. Sternberg, Jae‐Seon Lee, Seongseop Kim, Sung‐Ho Goh, Yong-Nyun Kim and Jae Young Kwon. Their work appears in journals such as Molecules and Cells, International Journal of Molecular Sciences, Nature Communications, Molecular Biology of the Cell and PLoS ONE.
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.