Jae‐Min Lim
- Aging top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 22
- Ubiquitin and proteasome pathways 9
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications 7
- Advanced Proteomics Techniques and Applications 6
- Immunology top 10%
- Analytical Chemistry top 5%
- Analytical chemistry methods development 6
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- Proteoglycans and glycosaminoglycans research 6
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- Carbohydrate Chemistry and Synthesis 6
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- Sepsis Diagnosis and Treatment 6
- Co-authors
- Lance WellsYong‐Ill LeeMichael TiemeyerKazuhiro AokiDavid J. ButcherArthur L. SalidoMichael PierceDong‐Soo Shin
- Cited by
- AgingMolecular BiologySpectroscopy
- Journals
- Journal of Biological Chemistry (7 papers)Journal of Proteome Research (4 papers)Microchemical Journal (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jae‐Min Lim
68 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 129
- Aging 88
- Molecular Biology 1.3k
- Spectroscopy 299
- Immunology 373
- Analytical Chemistry 160
Countries citing papers authored by Jae‐Min Lim
This map shows the geographic impact of Jae‐Min 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 Jae‐Min Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Min Lim more than expected).
Fields of papers citing papers by Jae‐Min Lim
This network shows the impact of papers produced by Jae‐Min 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 Jae‐Min Lim. The network helps show where Jae‐Min Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae‐Min 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2016 | 10 | |
| 7 | 2014 | 5 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 29 | |
| 10 | 2013 | 8 | |
| 11 | 2012 | 81 | |
| 12 | 2012 | 65 | |
| 13 | 2011 | 64 | |
| 14 | 2011 | 55 | |
| 15 | 2010 | 147 | |
| 16 | 2009 | 60 | |
| 17 | 2008 | 61 | |
| 18 | 2008 | 16 | |
| 19 | 2007 | 225 | |
| 20 | 2007 | 52 |
About Jae‐Min Lim
Jae‐Min Lim is a scholar working on Analytical Chemistry, Spectroscopy, Critical Care and Intensive Care Medicine, Aging and Cell Biology, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Ubiquitin and proteasome pathways (9 papers), Mass Spectrometry Techniques and Applications (7 papers), Proteoglycans and glycosaminoglycans research (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Analytical chemistry methods development (6 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Aging (88 citations), Molecular Biology (1.3k citations), Spectroscopy (299 citations), Immunology (373 citations) and Analytical Chemistry (160 citations). Jae‐Min Lim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Lance Wells, Yong‐Ill Lee, Michael Tiemeyer, Kazuhiro Aoki, David J. Butcher, Arthur L. Salido, Michael Pierce, Dong‐Soo Shin, Kiwan Jang and Karen L. Abbott. Their work appears in journals such as Journal of Biological Chemistry, Journal of Proteome Research, Microchemical Journal, Analytica Chimica Acta and Journal of Alloys and Compounds.
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.