Jin Yu

43.1k total citations · 1 hit paper
17 papers, 5.9k citations indexed

About

Jin Yu is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Jin Yu has authored 17 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Jin Yu's work include Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (6 papers) and Genomics and Phylogenetic Studies (3 papers). Jin Yu is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (6 papers) and Genomics and Phylogenetic Studies (3 papers). Jin Yu collaborates with scholars based in United States, China and Italy. Jin Yu's co-authors include Fuli Yu, Richard A. Gibbs, Andrew R. Jackson, Uday S. Evani, Cristian Coarfa, Danny Challis, Sameer Paithankar, Aleksandar Milosavljevic, Todd Lencz and Juan A. Gallego and has published in prestigious journals such as Nature, Nature Genetics and American Journal of Psychiatry.

In The Last Decade

Jin Yu

17 papers receiving 5.8k citations

Hit Papers

An integrated map of genetic variation from 1,092 human g... 2012 2026 2016 2021 2012 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Yu United States 12 3.0k 3.0k 748 379 309 17 5.9k
Konrad J. Karczewski United States 30 3.6k 1.2× 2.8k 0.9× 895 1.2× 482 1.3× 320 1.0× 69 6.5k
Laurent Gil United Kingdom 7 3.1k 1.0× 3.0k 1.0× 1.0k 1.4× 422 1.1× 389 1.3× 7 6.1k
Heather Junkins United States 8 3.6k 1.2× 3.3k 1.1× 782 1.0× 436 1.2× 233 0.8× 10 6.2k
Graham R. S. Ritchie United Kingdom 14 2.7k 0.9× 2.5k 0.8× 956 1.3× 321 0.8× 326 1.1× 19 5.1k
William McLaren United Kingdom 13 3.2k 1.1× 2.9k 1.0× 1.1k 1.5× 410 1.1× 394 1.3× 16 6.4k
Abigail W. Bigham United States 27 2.6k 0.9× 3.6k 1.2× 1.0k 1.4× 321 0.8× 343 1.1× 61 6.2k
Brendan Blumenstiel United States 8 2.1k 0.7× 2.4k 0.8× 628 0.8× 505 1.3× 363 1.2× 12 5.4k
Anja Thormann United Kingdom 5 2.3k 0.8× 2.1k 0.7× 865 1.2× 326 0.9× 304 1.0× 6 4.5k
Matthew DeFelice United States 5 2.0k 0.7× 2.4k 0.8× 504 0.7× 491 1.3× 344 1.1× 7 5.1k
Giulio Genovese United States 33 2.6k 0.9× 1.8k 0.6× 434 0.6× 526 1.4× 271 0.9× 67 6.8k

Countries citing papers authored by Jin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yu

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

All Works

17 of 17 papers shown
1.
Yu, Jin, Qianhui Chen, Xiaoping Chen, et al.. (2024). Clinical characteristics and influencing factors of severe fever with thrombocytopenia syndrome complicated by viral myocarditis: a retrospective study. BMC Infectious Diseases. 24(1). 240–240. 3 indexed citations
2.
Chen, Pei‐Jer, Ying Lu, Xiaoyu Lai, et al.. (2024). [Efficacy and prognostic factors of allogeneic hematopoietic stem cell transplantation in the treatment of secondary acute myeloid leukemia].. PubMed. 45(1). 41–47. 1 indexed citations
3.
Yu, Jin, et al.. (2021). Elaborate anesthetic management of cesarean section followed by abdominal radical hysterectomy for uterine cervical cancer: case report. European Journal of Gynaecological Oncology. 42(3). 595–595. 2 indexed citations
4.
Lencz, Todd, Jin Yu, Cameron D. Palmer, et al.. (2018). High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation. Human Genetics. 137(4). 343–355. 15 indexed citations
5.
Zhang, Jianping, Delbert G. Robinson, Jin Yu, et al.. (2018). Schizophrenia Polygenic Risk Score as a Predictor of Antipsychotic Efficacy in First-Episode Psychosis. American Journal of Psychiatry. 176(1). 21–28. 101 indexed citations
6.
Yu, Jin, Donnie Eddins, Laurie R. Earls, et al.. (2016). Haploinsufficiency of the 22q11.2 microdeletion gene Mrpl40 disrupts short-term synaptic plasticity and working memory through dysregulation of mitochondrial calcium. Molecular Psychiatry. 22(9). 1313–1326. 62 indexed citations
7.
Hiraki, Susan, Shai Carmi, Nir Barzilai, et al.. (2015). Expanded genetic screening panel for the Ashkenazi Jewish population. Genetics in Medicine. 18(5). 522–528. 24 indexed citations
8.
Zhang, Jianping, Delbert G. Robinson, Juan A. Gallego, et al.. (2015). Association of a Schizophrenia Risk Variant at theDRD2Locus With Antipsychotic Treatment Response in First-Episode Psychosis. Schizophrenia Bulletin. 41(6). 1248–1255. 53 indexed citations
9.
Li, Alexander, Xiaoming Liu, Alanna C. Morrison, et al.. (2013). Whole-genome sequence–based analysis of high-density lipoprotein cholesterol. Nature Genetics. 45(8). 899–901. 91 indexed citations
10.
Lotta, Luca A., Giacomo Tuana, Jin Yu, et al.. (2013). Next‐generation sequencing study finds an excess of rare, coding single‐nucleotide variants of ADAMTS13 in patients with deep vein thrombosis. Journal of Thrombosis and Haemostasis. 11(7). 1228–1239. 42 indexed citations
11.
Wang, Yibin, James T. Lu, Jin Yu, Richard A. Gibbs, & Fuli Yu. (2013). An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data. Genome Research. 23(5). 833–842. 65 indexed citations
12.
Huang, Zhuoyi, Jin Yu, & Fuli Yu. (2013). Cloud processing of 1000 genomes sequencing data using Amazon Web Service. 49–52. 3 indexed citations
13.
Lotta, Luca A., Mark L. Wang, Jin Yu, et al.. (2012). Identification of genetic risk variants for deep vein thrombosis by multiplexed next-generation sequencing of 186 hemostatic/pro-inflammatory genes. BMC Medical Genomics. 5(1). 7–7. 29 indexed citations
14.
Challis, Danny, Jin Yu, Uday S. Evani, et al.. (2012). An integrative variant analysis suite for whole exome next-generation sequencing data. BMC Bioinformatics. 13(1). 8–8. 160 indexed citations
15.
McVean, Gil, Robert E. Handsaker, Mark A. DePristo, et al.. (2012). An integrated map of genetic variation from 1,092 human genomes. Nature. 491(7422). 56–65. 5167 indexed citations breakdown →
16.
Evani, Uday S., Danny Challis, Jin Yu, et al.. (2012). Atlas2 Cloud: a framework for personal genome analysis in the cloud. BMC Genomics. 13(S6). 39 indexed citations
17.
Evani, Uday S., Danny Challis, Jin Yu, et al.. (2011). Enabling Atlas2 personal genome analysis on the cloud. 26. 117–120. 1 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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