Mi-Ae Lim

15 papers receiving 444 citations

Peers

Mi-Ae Lim
Comparison fields: 5 of 84
  • Toxicology 201
  • Endocrinology, Diabetes and Metabolism 74
  • Spectroscopy 65
  • Immunology 78
  • Cellular and Molecular Neuroscience 67
Replace Sara Casati with:
Sara Casati Italy
Armin Buchwald Germany
Melanie Walter Germany
Katsuyoshi Nakajima Japan
Arno Sinjewel Netherlands
David Paul India
Juan Molina-Güarneros Mexico
Justin Kurian United States
Maria do Céu Monteiro Portugal
Nathalie Reix France
Mi-Ae Lim relative to Sara Casati Italy Sara Casati's profile →
Citations per field
00.5×7.7×
Sara Casati · 1×
Citations per year

Countries citing papers authored by Mi-Ae Lim

Since Specialization
Citations

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

Fields of papers citing papers by Mi-Ae Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201478
2 200761
3 201246
4 200445
5 200434
6 200633
7 200827
8 200627
9 200823
10 201323
11 200520
12 200916
13 200613
14 20039
15 20058
16
The Characteristics of Wiper Blade Rubber with Surface Treatments
19982
17
Method Validation and Uncertainty Estimation for Toluene Measurement in Biological Fluids by HS-GC
20040

About Mi-Ae Lim

Mi-Ae Lim is a scholar working on Toxicology, Biological Psychiatry, Cellular and Molecular Neuroscience, Spectroscopy and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 465 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (9 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Hormonal and reproductive studies (3 papers), Advanced Chemical Sensor Technologies (2 papers), Psychedelics and Drug Studies (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Toxicology (201 citations), Endocrinology, Diabetes and Metabolism (74 citations), Spectroscopy (65 citations), Immunology (78 citations) and Cellular and Molecular Neuroscience (67 citations). Mi-Ae Lim has collaborated with scholars based in South Korea, Japan and United Kingdom. Frequent co-authors include Heesun Chung, Yonghoon Park, Eunyoung Han, Wonkyung Yang, Sooyeun Lee, Eunmi Kim, Jin‐Sil Park, Sung‐Hwan Park, Jaesin Lee and Eun‐Mi Kim. Their work appears in journals such as Forensic Science International, The Journal of Immunology, Archives of Pharmacal Research, Journal of Chromatography B and American Journal Of Pathology.

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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