Youngshil Pak
Impact in
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- Neuropeptides and Animal Physiology
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 4
- Ubiquitin and proteasome pathways 2
- Protein Kinase Regulation and GTPase Signaling 1
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- Neuropeptides and Animal Physiology 4
- Co-authors
- Brian F. O’Dowd (4 shared papers)Susan R. George (3 shared papers)Daniela Rotin (4 shared papers)N. T. Hang Pham (3 shared papers)Tak W. Mak (1 shared paper)Woong‐Kyung Suh (1 shared paper)Jongseon Choe (1 shared paper)Minghong Xu (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Biochemistry (1 paper)The Journal of Cell Biology (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- CanadaSouth KoreaKazakhstan
In The Last Decade
Youngshil Pak
9 papers receiving 629 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 280
- Immunology 195
- Molecular Biology 419
- Cell Biology 72
- Physiology 17
Countries citing papers authored by Youngshil Pak
This map shows the geographic impact of Youngshil Pak'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 Youngshil Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngshil Pak more than expected).
Fields of papers citing papers by Youngshil Pak
This network shows the impact of papers produced by Youngshil Pak. 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 Youngshil Pak. The network helps show where Youngshil Pak may publish in the future.
Co-authors
The 19 scholars most cited alongside Youngshil Pak, 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 | 2009 | 190 | |
| 2 | 2006 | 84 | |
| 3 | 1997 | 81 | |
| 4 | 1999 | 61 | |
| 5 | 1996 | 59 | |
| 6 | 2000 | 55 | |
| 7 | 2002 | 55 | |
| 8 | 2006 | 28 | |
| 9 | 2005 | 26 |
About Youngshil Pak
Youngshil Pak is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Epidemiology and Physiology, having authored 9 papers that have together received 639 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Cellular transport and secretion (2 papers), Ubiquitin and proteasome pathways (2 papers), Lysosomal Storage Disorders Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and melanin and skin pigmentation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (280 citations), Immunology (195 citations), Molecular Biology (419 citations), Cell Biology (72 citations) and Physiology (17 citations). Youngshil Pak has collaborated with scholars based in Canada, South Korea and Kazakhstan. Frequent co-authors include Brian F. O’Dowd, Susan R. George, Daniela Rotin, N. T. Hang Pham, Tak W. Mak, Woong‐Kyung Suh, Jongseon Choe, Minghong Xu, Mathieu Gigoux and Jia Bei Wang. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemistry, The Journal of Cell Biology and Molecular Pharmacology.
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.