Xi Shi

10.4k total citations · 2 hit papers
30 papers, 5.3k citations indexed

About

Xi Shi is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Xi Shi has authored 30 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Xi Shi's work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (7 papers) and Single-cell and spatial transcriptomics (3 papers). Xi Shi is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (7 papers) and Single-cell and spatial transcriptomics (3 papers). Xi Shi collaborates with scholars based in China, United States and Canada. Xi Shi's co-authors include Neville E. Sanjana, Feng Zhang, David Scott, Ophir Shalem, Tarjei S. Mikkelsen, Dirk Heckl, David E. Root, John G. Doench, Benjamin L. Ebert and Ella Hartenian and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Xi Shi

27 papers receiving 5.3k citations

Hit Papers

Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells 2013 2026 2017 2021 2013 2015 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells
    2013 3.7k citations Ophir Shalem, Neville E. Sanjana et al. Science profile →
  2. Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis
    2015 633 citations Sidi Chen, Neville E. Sanjana et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Shi China 14 4.4k 685 678 511 495 30 5.3k
Dirk Heckl Germany 21 5.6k 1.3× 761 1.1× 1.2k 1.7× 650 1.3× 872 1.8× 48 7.0k
Alexander Brehm Germany 31 5.1k 1.1× 911 1.3× 1.2k 1.8× 339 0.7× 356 0.7× 56 5.9k
Jun Yasuda Japan 33 3.3k 0.8× 405 0.6× 677 1.0× 1.1k 2.2× 439 0.9× 141 4.9k
Zuzana Tóthová United States 23 6.5k 1.5× 705 1.0× 929 1.4× 700 1.4× 850 1.7× 47 8.4k
Yuwen Chen China 19 3.8k 0.9× 506 0.7× 370 0.5× 748 1.5× 272 0.5× 78 4.6k
Tommy Alain Canada 38 3.5k 0.8× 1.2k 1.7× 892 1.3× 532 1.0× 718 1.5× 97 5.5k
Kosuke Yusa United Kingdom 35 4.4k 1.0× 1.1k 1.6× 442 0.7× 307 0.6× 330 0.7× 66 5.1k
Eros Lazzerini Denchi United States 29 4.7k 1.1× 452 0.7× 1.5k 2.2× 568 1.1× 273 0.6× 45 5.7k
Max A. Horlbeck United States 24 5.4k 1.2× 699 1.0× 420 0.6× 1.2k 2.3× 311 0.6× 31 6.1k
Mudra Hegde United States 14 4.5k 1.0× 732 1.1× 498 0.7× 235 0.5× 365 0.7× 18 5.1k

Countries citing papers authored by Xi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Shi. A scholar is included among the top collaborators of Xi 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 Xi Shi. Xi Shi 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.
2.
Huo, Chuying, Xueting Zhang, Quanwei Zhang, et al.. (2025). Vancomycin-sensitive gut microbiota mediate Dendrobii β-1,4-mannan degradation and anti-colitis activity in mice. International Journal of Biological Macromolecules. 323(Pt 1). 147052–147052.
3.
Wu, Limin, et al.. (2024). Roles of β-catenin in innate immune process and regulating intestinal flora in Qi river crucian carp (Carassius auratus). Fish & Shellfish Immunology. 148. 109521–109521. 2 indexed citations
4.
Shi, Xi, et al.. (2023). Research on Starlink constellation simulation and target area visibility algorithm. 53–53. 1 indexed citations
5.
6.
Nissim‐Rafinia, Malka, Moria Maman, Cynthia C. Hession, et al.. (2021). Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity. Genome biology. 22(1). 73–73. 10 indexed citations
7.
Nie, Man, Likun Du, Weicheng Ren, et al.. (2021). Genome-wide CRISPR screens reveal synthetic lethal interaction between CREBBP and EP300 in diffuse large B-cell lymphoma. Cell Death and Disease. 12(5). 419–419. 20 indexed citations
8.
Lewis, Michael C., Arnold J. Heynen, David C. Stoppel, et al.. (2020). Selective inhibition of glycogen synthase kinase 3α corrects pathophysiology in a mouse model of fragile X syndrome. Science Translational Medicine. 12(544). 43 indexed citations
9.
Wang, Chao, Bin Yan, Xi Shi, et al.. (2019). Jinmaitong Ameliorates Diabetic Peripheral Neuropathy Through Suppressing TXNIP/NLRP3 Inflammasome Activation In The Streptozotocin-Induced Diabetic Rat Model. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Adiconis, Xian, Adam L. Haber, Sean Simmons, et al.. (2018). Comprehensive comparative analysis of 5′-end RNA-sequencing methods. Nature Methods. 15(7). 505–511. 77 indexed citations
11.
Li, Qiuhong, Andrew P. Hutchins, Yong Chen, et al.. (2017). A sequential EMT-MET mechanism drives the differentiation of human embryonic stem cells towards hepatocytes. Nature Communications. 8(1). 15166–15166. 93 indexed citations
12.
Wang, Linli, Qun Shen, Qianyu Chen, et al.. (2016). Optimized Approaches for Generation of Integration-free iPSCs from Human Urine-Derived Cells with Small Molecules and Autologous Feeder. Stem Cell Reports. 6(5). 717–728. 36 indexed citations
13.
Petrocchi, Alessia, Elisabetta Leo, Matthew M. Hamilton, et al.. (2016). Identification of potent and selective MTH1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(6). 1503–1507. 52 indexed citations
14.
Chen, Sidi, Neville E. Sanjana, Kaijie Zheng, et al.. (2015). Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis. Cell. 160(6). 1246–1260. 633 indexed citations breakdown →
15.
16.
Shalem, Ophir, Neville E. Sanjana, Ella Hartenian, et al.. (2013). Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells. Science. 343(6166). 84–87. 3656 indexed citations breakdown →
17.
Shi, Xi. (2011). Quercus arbutifolia, a new record species of Fagaceae in Guangxi. Guihaia. 3 indexed citations
18.
Domian, Ibrahim J., Murali Chiravuri, Peter van der Meer, et al.. (2009). Generation of Functional Ventricular Heart Muscle from Mouse Ventricular Progenitor Cells. Science. 326(5951). 426–429. 151 indexed citations
19.
Shi, Xi. (2003). Reversing effects of saponins Rb1 combined with VRE on human leukemic multi-drug resistant cell line K562/HHT. 1 indexed citations
20.
Shi, Xi. (2001). The Appliation of Canonical Discriminate Analysis in Credit Risk Evaluation of Enterprise.

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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