Ying Jin

3.1k total citations
18 papers, 1.1k citations indexed

About

Ying Jin is a scholar working on Immunology, Cell Biology and Molecular Biology. According to data from OpenAlex, Ying Jin has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Cell Biology and 7 papers in Molecular Biology. Recurrent topics in Ying Jin's work include Atherosclerosis and Cardiovascular Diseases (9 papers), melanin and skin pigmentation (7 papers) and T-cell and B-cell Immunology (4 papers). Ying Jin is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (9 papers), melanin and skin pigmentation (7 papers) and T-cell and B-cell Immunology (4 papers). Ying Jin collaborates with scholars based in United States, Australia and United Kingdom. Ying Jin's co-authors include Richard A. Spritz, Pamela R. Fain, Katherine Gowan, Christina M. Mailloux, Sheri L. Riccardi, Dorothy C. Bennett, Greggory S. LaBerge, Stanca A. Birlea, Songtao Ben and Charles A. Dinarello and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ying Jin

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ying Jin United States 11 665 515 445 134 120 18 1.1k
Asem Alkhateeb Jordan 16 456 0.7× 308 0.6× 720 1.6× 301 2.2× 113 0.9× 32 1.2k
F Bataille Germany 16 219 0.3× 771 1.5× 201 0.5× 30 0.2× 139 1.2× 26 1.4k
K Isozaki Japan 14 439 0.7× 244 0.5× 115 0.3× 40 0.3× 106 0.9× 22 877
Danielle M. Clancy Ireland 12 659 1.0× 479 0.9× 43 0.1× 23 0.2× 25 0.2× 14 1.1k
Joseph A. Sennello United States 17 277 0.4× 452 0.9× 64 0.1× 58 0.4× 115 1.0× 20 1.1k
Qi‐Quan Huang United States 13 325 0.5× 435 0.8× 106 0.2× 17 0.1× 29 0.2× 16 906
Sachiko Kubo Japan 11 239 0.4× 359 0.7× 106 0.2× 10 0.1× 56 0.5× 15 787
Mark G. Buckley United Kingdom 22 841 1.3× 173 0.3× 32 0.1× 33 0.2× 139 1.2× 40 1.4k
Kelly M. Cautivo United States 18 505 0.8× 321 0.6× 98 0.2× 24 0.2× 44 0.4× 25 1.2k
Keiko Danzaki Japan 12 350 0.5× 251 0.5× 59 0.1× 52 0.4× 72 0.6× 20 849

Countries citing papers authored by Ying Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jin. A scholar is included among the top collaborators of Ying 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 Ying Jin. Ying Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Jin, Ying, Peng Chen, Hua-Jun Zhou, et al.. (2025). Developing transcriptomic biomarkers for TAVO412 utilizing next generation sequencing analyses of preclinical tumor models. Frontiers in Immunology. 16. 1505868–1505868. 2 indexed citations
3.
Jin, Ying, Ping Sun, Peng Chen, et al.. (2025). A trispecific antibody targeting EGFR/cMET/VEGF-A demonstrates multiple mechanisms of action to inhibit wild-type and mutant NSCLC animal models. Frontiers in Oncology. 15. 1533059–1533059. 2 indexed citations
4.
Burton, James R., Ying Jin, Ryan Peterson, et al.. (2020). Presence of any degree of coronary artery disease among liver transplant candidates is associated with increased rate of post‐transplant major adverse cardiac events. Clinical Transplantation. 34(11). e14077–e14077. 9 indexed citations
5.
Pouget, Jennie G., Buhm Han, Yang Wu, et al.. (2019). Cross-disorder analysis of schizophrenia and 19 immune-mediated diseases identifies shared genetic risk. Human Molecular Genetics. 28(20). 3498–3513. 60 indexed citations
6.
Jin, Ying, Genevieve H. L. Roberts, Tracey M. Ferrara, et al.. (2019). Early-onset autoimmune vitiligo associated with an enhancer variant haplotype that upregulates class II HLA expression. Nature Communications. 10(1). 391–391. 43 indexed citations
7.
Ben, Songtao, Ying Jin, Stephanie A. Santorico, & Richard A. Spritz. (2018). Genome-Wide Association of PVT1 with Vitiligo. Journal of Investigative Dermatology. 138(8). 1884–1886. 10 indexed citations
8.
Feng, Lifang, Xiaohong Chen, Dongxiao Li, et al.. (2018). [Reye syndrome and sudden death symptoms after oral administration of nimesulide due to upper respiratory tract infection in a boy].. PubMed. 20(11). 944–949. 5 indexed citations
9.
Ding, Xiaohan, Jie Han, Yuan Liu, Ying Jin, & Ping Ye. (2017). D-4F decreases the expression of Aβ protein through up-regulating long non coding RNA sirt1-as in SAMP8 mice. Saudi Pharmaceutical Journal. 25(4). 517–522. 5 indexed citations
10.
Cavalli, Giulio, Masahiro Hayashi, Ying Jin, et al.. (2016). MHC class II super-enhancer increases surface expression of HLA-DR and HLA-DQ and affects cytokine production in autoimmune vitiligo. Proceedings of the National Academy of Sciences. 113(5). 1363–1368. 72 indexed citations
11.
Hayashi, Masahiro, Ying Jin, Daniel Yorgov, et al.. (2016). Autoimmune vitiligo is associated with gain-of-function by a transcriptional regulator that elevates expression of HLA-A*02:01 in vivo. Proceedings of the National Academy of Sciences. 113(5). 1357–1362. 43 indexed citations
12.
Jin, Ying, Jin Liu, Junfang Wang, et al.. (2014). Improvement of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Identification of Clinically Important Candida Species. Clinical Laboratory. 60(01/2014). 37–46. 2 indexed citations
13.
Levandowski, Cecilia B., Christina M. Mailloux, Tracey M. Ferrara, et al.. (2013). NLRP1 haplotypes associated with vitiligo and autoimmunity increase interleukin-1β processing via the NLRP1 inflammasome. Proceedings of the National Academy of Sciences. 110(8). 2952–2956. 163 indexed citations
14.
Weatherley-White, R. C. A., Songtao Ben, Ying Jin, et al.. (2011). Analysis of genomewide association signals for nonsyndromic cleft lip/palate in a Kenya African cohort. American Journal of Medical Genetics Part A. 155(10). 2422–2425. 23 indexed citations
15.
Birlea, Stanca A., Ying Jin, Dorothy C. Bennett, et al.. (2010). Comprehensive Association Analysis of Candidate Genes for Generalized Vitiligo Supports XBP1, FOXP3, and TSLP. Journal of Investigative Dermatology. 131(2). 371–381. 96 indexed citations
16.
Jin, Ying, Sheri L. Riccardi, Katherine Gowan, Pamela R. Fain, & Richard A. Spritz. (2009). Fine-Mapping of Vitiligo Susceptibility Loci on Chromosomes 7 and 9 and Interactions with NLRP1 (NALP1). Journal of Investigative Dermatology. 130(3). 774–783. 32 indexed citations
17.
Jin, Ying, Stanca A. Birlea, Pamela R. Fain, & Richard A. Spritz. (2007). Genetic Variations in NALP1 Are Associated with Generalized Vitiligo in a Romanian Population. Journal of Investigative Dermatology. 127(11). 2558–2562. 114 indexed citations
18.
Jin, Ying, Christina M. Mailloux, Katherine Gowan, et al.. (2007). NALP1 in Vitiligo-Associated Multiple Autoimmune Disease. New England Journal of Medicine. 356(12). 1216–1225. 463 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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