Young‐Sun Yim
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Edward K. Wakeland (5 shared papers)Katalin Tus (2 shared papers)Silvia Bolland (1 shared paper)Jeffrey V. Ravetch (1 shared paper)Srividya Subramanian (2 shared papers)Harold R. Garner (1 shared paper)Alice Chan (1 shared paper)Amy E. Wandstrat (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (2 papers)The Journal of Immunology (2 papers)PLoS ONE (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Immunogenetics (1 paper)
- Partner nations
- United StatesSouth KoreaCroatia
In The Last Decade
Young‐Sun Yim
11 papers receiving 675 citations
Peers
Comparison fields: 5 of 56
- Immunology 397
- Rheumatology 141
- Radiology, Nuclear Medicine and Imaging 140
- Genetics 117
- Plant Science 141
Countries citing papers authored by Young‐Sun Yim
This map shows the geographic impact of Young‐Sun Yim'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‐Sun Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Sun Yim more than expected).
Fields of papers citing papers by Young‐Sun Yim
This network shows the impact of papers produced by Young‐Sun Yim. 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‐Sun Yim. The network helps show where Young‐Sun Yim may publish in the future.
Co-authors
The 25 scholars most cited alongside Young‐Sun Yim, 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 | 2004 | 215 | |
| 2 | 2002 | 205 | |
| 3 | 2002 | 85 | |
| 4 | 2002 | 47 | |
| 5 | 2007 | 34 | |
| 6 | 2005 | 29 | |
| 7 | 2005 | 24 | |
| 8 | 2016 | 20 | |
| 9 | 2012 | 15 | |
| 10 | 2004 | 9 | |
| 11 | 2001 | 6 |
About Young‐Sun Yim
Young‐Sun Yim is a scholar working on Immunology, Molecular Biology, Plant Science, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 689 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Chromosomal and Genetic Variations (3 papers), Immune Cell Function and Interaction (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), Parasites and Host Interactions (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Immunology (397 citations), Rheumatology (141 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Genetics (117 citations) and Plant Science (141 citations). Young‐Sun Yim has collaborated with scholars based in United States, South Korea and Croatia. Frequent co-authors include Edward K. Wakeland, Katalin Tus, Silvia Bolland, Jeffrey V. Ravetch, Srividya Subramanian, Harold R. Garner, Alice Chan, Amy E. Wandstrat, Alexander Pertsemlidis and Laurence Morel. Their work appears in journals such as PLANT PHYSIOLOGY, The Journal of Immunology, PLoS ONE, Proteins Structure Function and Bioinformatics and Immunogenetics.
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.