Quan Shi

660 total citations
12 papers, 146 citations indexed

About

Quan Shi is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Quan Shi has authored 12 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Quan Shi's work include Genomics and Rare Diseases (3 papers), Single-cell and spatial transcriptomics (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Quan Shi is often cited by papers focused on Genomics and Rare Diseases (3 papers), Single-cell and spatial transcriptomics (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Quan Shi collaborates with scholars based in China, Denmark and United States. Quan Shi's co-authors include Longqi Liu, Oluf Pedersen, Rui Gao, Anette P. Gjesing, Torben Hansen, Zhengqing Qiu, Cheng Shen, Feng Xiong, Shiping Liu and Karsten Kristiansen and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Quan Shi

11 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Shi China 8 61 57 40 27 20 12 146
Kazuhiko Yamamoto Japan 3 119 2.0× 82 1.4× 14 0.3× 16 0.6× 6 0.3× 3 226
Nathalie Chami United States 6 71 1.2× 86 1.5× 27 0.7× 17 0.6× 3 0.1× 7 202
Primus-E. Mullis Switzerland 8 63 1.0× 48 0.8× 29 0.7× 77 2.9× 7 0.3× 8 161
Lotte Goyvaerts Belgium 7 84 1.4× 76 1.3× 124 3.1× 102 3.8× 17 0.8× 7 232
Marc Nicolino France 5 81 1.3× 86 1.5× 38 0.9× 73 2.7× 13 0.7× 6 177
Mehdi Derhourhi France 8 50 0.8× 54 0.9× 44 1.1× 11 0.4× 2 0.1× 18 129
Christine Proença France 4 159 2.6× 127 2.2× 89 2.2× 73 2.7× 6 0.3× 4 264
Fiona Allum Canada 4 31 0.5× 87 1.5× 14 0.3× 10 0.4× 7 0.3× 4 107
Stine M. Præstholm Denmark 5 39 0.6× 71 1.2× 16 0.4× 43 1.6× 2 0.1× 6 169
Natsuki Nakanishi Japan 8 30 0.5× 59 1.0× 12 0.3× 24 0.9× 51 2.5× 15 279

Countries citing papers authored by Quan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Quan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Shi

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

All Works

12 of 12 papers shown
1.
Shi, Quan & Karsten Kristiansen. (2025). Spatial dissimilarity analysis in single-cell transcriptomics. Cell Reports Methods. 5(9). 101141–101141.
2.
Shi, Quan, et al.. (2024). Single-cell profiling identifies LIN28A mRNA targets in the mouse pluripotent-to-2C-like transition and somatic cell reprogramming. Journal of Biological Chemistry. 300(11). 107824–107824. 1 indexed citations
3.
He, Wei, Zhaomin Zhong, Chenchen Lü, et al.. (2024). The circadian clock orchestrates spermatogonial differentiation and fertilization by regulating retinoic acid signaling in vertebrates. National Science Review. 12(3). nwae456–nwae456. 2 indexed citations
4.
Wang, Qiong, Yaqiong Liu, Weiwei Chen, et al.. (2024). Uterine Commensal Peptostreptococcus Species Contribute to IDO1 Induction in Endometrial Cancer via Indoleacrylic Acid. Biomedicines. 12(3). 573–573. 2 indexed citations
5.
Ma, Wen, Shanshan Duan, Quan Shi, et al.. (2022). Single-cell transcriptional diversity of neonatal umbilical cord blood immune cells reveals neonatal immune tolerance. Biochemical and Biophysical Research Communications. 608. 14–22. 9 indexed citations
6.
Shi, Quan, Shiping Liu, Karsten Kristiansen, & Longqi Liu. (2022). The FASTQ+ format and PISA. Bioinformatics. 38(19). 4639–4642. 16 indexed citations
7.
Trier, Cæcilie, Mette Hollensted, Theresia M. Schnurr, et al.. (2020). Obesity treatment effect in Danish children and adolescents carrying Melanocortin-4 Receptor mutations. International Journal of Obesity. 45(1). 66–76. 25 indexed citations
8.
Mao, Qing, Robert Chin, Weiwei Xie, et al.. (2018). Advanced Whole-Genome Sequencing and Analysis of Fetal Genomes from Amniotic Fluid. Clinical Chemistry. 64(4). 715–725. 9 indexed citations
9.
Gjesing, Anette P., Rui Gao, Jeannet Lauenborg, et al.. (2017). High Prevalence of Diabetes-Predisposing Variants in MODY Genes Among Danish Women With Gestational Diabetes Mellitus. Journal of the Endocrine Society. 1(6). 681–690. 30 indexed citations
10.
11.
Jørgensen, Stine, Henri Theil, Christina Rye Underwood, et al.. (2016). Genetic Variations in the Human G Protein-coupled Receptor Class C, Group 6, Member A (GPRC6A) Control Cell Surface Expression and Function. Journal of Biological Chemistry. 292(4). 1524–1534. 18 indexed citations
12.
Liu, Shuang, Xiafei Hong, Cheng Shen, et al.. (2015). Kabuki syndrome: a Chinese case series and systematic review of the spectrum of mutations. BMC Medical Genetics. 16(1). 26–26. 26 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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