Niyun Jin

1.4k total citations
29 papers, 1.2k citations indexed

About

Niyun Jin is a scholar working on Immunology, Physiology and Genetics. According to data from OpenAlex, Niyun Jin has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 8 papers in Physiology and 8 papers in Genetics. Recurrent topics in Niyun Jin's work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (14 papers) and Diabetes and associated disorders (7 papers). Niyun Jin is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (14 papers) and Diabetes and associated disorders (7 papers). Niyun Jin collaborates with scholars based in United States, South Korea and China. Niyun Jin's co-authors include Rebecca L. O’Brien, Willi K. Born, M. Kemal Aydintug, J. M. Wands, Christina L. Roark, Erwin W. Gelfand, John W. Kappler, Philippa Marrack, Frances Crawford and Maki Nakayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Niyun Jin

29 papers receiving 1.1k citations

Peers

Niyun Jin
Kenneth J. Pennline United States
Jayashree Dolpady United States
Henry Yim Wu United States
Mia J. Smith United States
Geoffrey O. Gillard United States
Trentham De United States
Kenneth J. Pennline United States
Niyun Jin
Citations per year, relative to Niyun Jin Niyun Jin (= 1×) peers Kenneth J. Pennline

Countries citing papers authored by Niyun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Niyun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niyun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Niyun Jin. A scholar is included among the top collaborators of Niyun Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niyun Jin. Niyun Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crawford, Frances, Ryan C. Hill, Niyun Jin, et al.. (2020). Lysosomal cathepsin creates chimeric epitopes for diabetogenic CD4 T cells via transpeptidation. The Journal of Experimental Medicine. 218(2). 46 indexed citations
2.
Wang, Yang, Tomasz Sosinowski, Frances Crawford, et al.. (2019). How C-terminal additions to insulin B-chain fragments create superagonists for T cells in mouse and human type 1 diabetes. Science Immunology. 4(34). 40 indexed citations
3.
Jin, Niyun, Yang Wang, Frances Crawford, et al.. (2015). N-terminal additions to the WE14 peptide of chromogranin A create strong autoantigen agonists in type 1 diabetes. Proceedings of the National Academy of Sciences. 112(43). 13318–13323. 42 indexed citations
4.
Jin, Niyun, Qian Wu, Li Zhang, et al.. (2013). CREB regulates the expression of neuronal glucose transporter 3: a possible mechanism related to impaired brain glucose uptake in Alzheimer's disease. Nucleic Acids Research. 41(5). 3240–3256. 56 indexed citations
5.
MacLeod, Megan K. L., Alexandria David, Niyun Jin, et al.. (2013). Influenza Nucleoprotein Delivered with Aluminium Salts Protects Mice from an Influenza A Virus That Expresses an Altered Nucleoprotein Sequence. PLoS ONE. 8(4). e61775–e61775. 16 indexed citations
6.
Wu, Qian, Jiahai Shi, Niyun Jin, et al.. (2011). Regulation of the alternative splicing of tau exon 10 by SC35 and Dyrk1A. Nucleic Acids Research. 39(14). 6161–6171. 83 indexed citations
7.
Born, Willi K., Li Zhang, Maki Nakayama, et al.. (2011). Peptide antigens for gamma/delta T cells. Cellular and Molecular Life Sciences. 68(14). 2335–2343. 23 indexed citations
8.
Zhang, Li, Niyun Jin, Maki Nakayama, et al.. (2010). Gamma delta T cell receptors confer autonomous responsiveness to the insulin-peptide B:9-23. Journal of Autoimmunity. 34(4). 478–484. 37 indexed citations
9.
Jin, Niyun, Christina L. Roark, Nobuaki Miyahara, et al.. (2009). Allergic Airway Hyperresponsiveness-Enhancing γδ T Cells Develop in Normal Untreated Mice and Fail to Produce IL-4/13, Unlike Th2 and NKT Cells. The Journal of Immunology. 182(4). 2002–2010. 19 indexed citations
10.
Huang, Yafei, Niyun Jin, Christina L. Roark, et al.. (2009). The Influence of IgE-Enhancing and IgE-Suppressive γδ T Cells Changes with Exposure to Inhaled Ovalbumin. The Journal of Immunology. 183(2). 849–855. 49 indexed citations
11.
Cook, Laura, Nobuaki Miyahara, Niyun Jin, et al.. (2008). Evidence That CD8+ Dendritic Cells Enable the Development of γδ T Cells That Modulate Airway Hyperresponsiveness. The Journal of Immunology. 181(1). 309–319. 31 indexed citations
12.
Hahn, Youn‐Soo, Sung‐Il Woo, Young Ki Choi, et al.. (2008). Vγ1+ γδ T cells reduce IL-10-producing CD4+CD25+ T cells in the lung of ovalbumin-sensitized and challenged mice. Immunology Letters. 121(2). 87–92. 18 indexed citations
13.
Matsubara, Shigeki, Katsuyuki Takeda, Niyun Jin, et al.. (2008). Vγ1+ T Cells and Tumor Necrosis Factor-Alpha in Ozone-Induced Airway Hyperresponsiveness. American Journal of Respiratory Cell and Molecular Biology. 40(4). 454–463. 20 indexed citations
14.
Jin, Niyun, Nobuaki Miyahara, Christina L. Roark, et al.. (2007). Airway Hyperresponsiveness through Synergy of γδ T Cells and NKT Cells. The Journal of Immunology. 179(5). 2961–2968. 38 indexed citations
15.
O’Brien, Rebecca L., Christina L. Roark, Niyun Jin, et al.. (2007). γδ T‐cell receptors: functional correlations. Immunological Reviews. 215(1). 77–88. 75 indexed citations
16.
Born, Willi K., Niyun Jin, M. Kemal Aydintug, et al.. (2007). γδ T Lymphocytes—Selectable Cells Within the Innate System?. Journal of Clinical Immunology. 27(2). 133–144. 40 indexed citations
17.
Jin, Niyun, Christian Taube, Youn‐Soo Hahn, et al.. (2005). Mismatched Antigen Prepares γδ T Cells for Suppression of Airway Hyperresponsiveness. The Journal of Immunology. 174(5). 2671–2679. 28 indexed citations
18.
Hahn, Youn‐Soo, Christian Taube, Niyun Jin, et al.. (2004). Different Potentials of γδ T Cell Subsets in Regulating Airway Responsiveness: Vγ1+ Cells, but Not Vγ4+ Cells, Promote Airway Hyperreactivity, Th2 Cytokines, and Airway Inflammation. The Journal of Immunology. 172(5). 2894–2902. 111 indexed citations
19.
Hahn, Youn-Soo, Christian Taube, Niyun Jin, et al.. (2003). Vγ4+ γδ T Cells Regulate Airway Hyperreactivity to Methacholine in Ovalbumin-Sensitized and Challenged Mice. The Journal of Immunology. 171(6). 3170–3178. 64 indexed citations
20.
Jin, Niyun & Johan Stjernschantz. (2000). Regional Blood Flow in the Myopic Chick Eye during and after Form Deprivation: a Study with Radioactively-labelled Microspheres. Experimental Eye Research. 71(3). 233–238. 13 indexed citations

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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