Hotae Lim

859 citations
15 papers · 565 · h-index 8

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Muscle Physiology and Disorders
    • Renal and related cancers

Papers in

Hotae Lim

13 papers receiving 559 citations

Peers

Hotae Lim
Comparison fields: 5 of 54
  • Developmental Neuroscience 33
  • Molecular Biology 490
  • Aging 12
  • Genetics 46
  • Cellular and Molecular Neuroscience 84
Replace Meiyan Wang with:
Meiyan Wang United States
Э. Б. Дашинимаев Russia
Igal Germanguz Israel
Suvi Aivio Spain
Kazunori Sunadome Japan
Yanting Xue China
Masayuki Shikamura Japan
Masafumi Umekage Japan
Misato Sunayama Japan
Yaniv Gil Israel
Hotae Lim relative to Meiyan Wang United States Meiyan Wang's profile →
Citations per field
00.5×1.5×
Meiyan Wang · 1×
Citations per year

Countries citing papers authored by Hotae Lim

Since Specialization
Citations

This map shows the geographic impact of Hotae 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 Hotae Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hotae Lim more than expected).

Fields of papers citing papers by Hotae Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hotae 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 Hotae Lim. The network helps show where Hotae Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Hotae 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 Hotae Lim Line = papers co-authored together Hotae Lim links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015202
2 2016135
3 2014116
4 202034
5 201926
6 202217
7 201412
8 20228
9 20207
10 20144
11 20191
12 20211
13 20141
14 20141
15 20250

About Hotae Lim

Hotae Lim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Surgery and Biomedical Engineering, having authored 15 papers that have together received 565 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers), Muscle Physiology and Disorders (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), 3D Printing in Biomedical Research (2 papers), Hereditary Neurological Disorders (2 papers), Virus-based gene therapy research (2 papers) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Developmental Neuroscience (33 citations), Molecular Biology (490 citations), Aging (12 citations), Genetics (46 citations) and Cellular and Molecular Neuroscience (84 citations). Hotae Lim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Gabsang Lee, In Young Choi, Yong Jun Kim, Yohan Oh, Xinzhong Dong, In Young Choi, Alexander Meissner, Alexander M. Tsankov, William Mallard and Ramona Pop. Their work appears in journals such as Journal of Visualized Experiments, Cell stem cell, Nature Biotechnology, Cellular and Molecular Life Sciences and Biomaterials.

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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