Young‐Mi Lim
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Developmental Biology and Gene Regulation 7
- Melanoma and MAPK Pathways 2
- Genomics and Chromatin Dynamics 2
-
- Hippo pathway signaling and YAP/TAZ 3
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Leo Tsuda (19 shared papers)Yasuyoshi Nishida (6 shared papers)Yoshihiro Inoué (4 shared papers)Mami Hata (3 shared papers)Takashi Adachi‐Yamada (3 shared papers)Haruko Ryo (1 shared paper)Masami Mizuno (1 shared paper)Yukito Masamune (1 shared paper)
- Journals
- Genetics (3 papers)Genes to Cells (3 papers)Aging (2 papers)PLoS ONE (2 papers)Advances in experimental medicine and biology (1 paper)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Young‐Mi Lim
23 papers receiving 583 citations
Peers
Comparison fields: 5 of 81
- Aging 45
- Cell Biology 97
- Cellular and Molecular Neuroscience 105
- Molecular Biology 393
- Molecular Medicine 20
Countries citing papers authored by Young‐Mi Lim
This map shows the geographic impact of Young‐Mi Lim'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 Young‐Mi Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Mi Lim more than expected).
Fields of papers citing papers by Young‐Mi Lim
This network shows the impact of papers produced by Young‐Mi Lim. 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 Young‐Mi Lim. The network helps show where Young‐Mi Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Young‐Mi Lim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 194 | |
| 2 | Age-induced reduction of autophagy-related gene expression is associated with onset of Alzheimer's disease. | 2014 | 62 |
| 3 | 2011 | 49 | |
| 4 | 2006 | 46 | |
| 5 | 2018 | 37 | |
| 6 | 2000 | 37 | |
| 7 | 2007 | 30 | |
| 8 | 1999 | 23 | |
| 9 | 2016 | 22 | |
| 10 | 2013 | 19 | |
| 11 | 1997 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2011 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 1996 | 5 | |
| 19 | Elder image, self-efficacy and burden among family caregivers caring for elders with chronic disease | 2008 | 4 |
| 20 | 2009 | 3 |
About Young‐Mi Lim
Young‐Mi Lim is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, General Health Professions and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 597 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Neurobiology and Insect Physiology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Melanoma and MAPK Pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (45 citations), Cell Biology (97 citations), Cellular and Molecular Neuroscience (105 citations), Molecular Biology (393 citations) and Molecular Medicine (20 citations). Young‐Mi Lim has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Leo Tsuda, Yasuyoshi Nishida, Yoshihiro Inoué, Mami Hata, Takashi Adachi‐Yamada, Haruko Ryo, Masami Mizuno, Yukito Masamune, Mi‐Ae Yoo and Yukihiro Akao. Their work appears in journals such as Genetics, Genes to Cells, Aging, PLoS ONE and Advances in experimental medicine and 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.