Young‐Mi Lim

707 citations
23 papers · 618 · h-index 12

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Developmental Biology and Gene Regulation 7
    • Hippo pathway signaling and YAP/TAZ 3
    • Endoplasmic Reticulum Stress and Disease 2

Young‐Mi Lim

23 papers receiving 602 citations

Peers

Young‐Mi Lim
Comparison fields: 5 of 82
  • Aging 45
  • Cell Biology 100
  • Cellular and Molecular Neuroscience 107
  • Molecular Biology 403
  • Molecular Medicine 21
Replace Leo Tsuda with:
Leo Tsuda Japan
Victoria L. Hewitt Australia
Thomas Rival France
Meghana Tare United States
Ankita Sarkar United States
Sonam Parakh Australia
Lanlan Li China
Myriam Steinmann Switzerland
Constanze Riemer Germany
Ruben J. Cauchi Malta
Young‐Mi Lim relative to Leo Tsuda Japan Leo Tsuda's profile →
Citations per field
00.5×1.5×
Leo Tsuda · 1×
Citations per year

Countries citing papers authored by Young‐Mi Lim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Young‐Mi Lim Line = papers co-authored together Young‐Mi Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993199
2
Age-induced reduction of autophagy-related gene expression is associated with onset of Alzheimer's disease.
201465
3 201153
4 200648
5 200038
6 201838
7 200732
8 199924
9 201623
10 201319
11 199715
12 201214
13 20118
14 20147
15 20176
16 20136
17 20155
18 19965
19
Elder image, self-efficacy and burden among family caregivers caring for elders with chronic disease
20084
20 20093

About Young‐Mi Lim

Young‐Mi Lim is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Physiology, having authored 23 papers that have together received 618 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Neurobiology and Insect Physiology Research (4 papers), Alzheimer's disease research and treatments (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (45 citations), Cell Biology (100 citations), Cellular and Molecular Neuroscience (107 citations), Molecular Biology (403 citations) and Molecular Medicine (21 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, Takashi Adachi‐Yamada, Mami Hata, Haruko Ryo, Yukito Masamune, Mi‐Ae Yoo, Masami Mizuno and Yukihiro Akao. Their work appears in journals such as Genetics, Genes to Cells, Aging, PLoS ONE and Human Molecular Genetics.

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.

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