Xi Shi
Impact in
- Aging top 1%
Papers in
-
- CRISPR and Genetic Engineering 7
- Pluripotent Stem Cells Research 7
- Single-cell and spatial transcriptomics 3
- Protein Degradation and Inhibitors 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Neville E. SanjanaFeng ZhangOphir ShalemDavid ScottJohn G. DoenchBenjamin L. EbertElla HartenianDavid E. Root
- Journals
- Science (2 papers)Nature Methods (1 paper)Journal of Agricultural and Food Chemistry (1 paper)International Journal of Biological Macromolecules (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xi Shi
27 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 233
- Business and International Management 189
- Molecular Biology 4.4k
- Cancer Research 511
- Oncology 678
Countries citing papers authored by Xi Shi
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
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-authors
The 25 scholars most cited alongside Xi Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 43 | |
| 9 | Jinmaitong Ameliorates Diabetic Peripheral Neuropathy Through Suppressing TXNIP/NLRP3 Inflammasome Activation In The Streptozotocin-Induced Diabetic Rat Model | 2019 | 2 |
| 10 | 2019 | 26 | |
| 11 | 2018 | 72 | |
| 12 | 2017 | 93 | |
| 13 | 2016 | 36 | |
| 14 | Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis Hit paper breakdown → | 2015 | 633 |
| 15 | 2014 | 2 | |
| 16 | Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells Hit paper breakdown → | 2013 | 3656 |
| 17 | Quercus arbutifolia, a new record species of Fagaceae in Guangxi | 2011 | 3 |
| 18 | 2009 | 151 | |
| 19 | Reversing effects of saponins Rb1 combined with VRE on human leukemic multi-drug resistant cell line K562/HHT | 2003 | 1 |
| 20 | The Appliation of Canonical Discriminate Analysis in Credit Risk Evaluation of Enterprise | 2001 | 0 |
About Xi Shi
Xi Shi is a scholar working on Molecular Biology, Ecological Modeling, Pathology and Forensic Medicine, Aquatic Science and Hepatology, having authored 30 papers that have together received 5.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (7 papers), Lymphoma Diagnosis and Treatment (3 papers), Single-cell and spatial transcriptomics (3 papers), Protein Degradation and Inhibitors (2 papers), Autism Spectrum Disorder Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Aging (233 citations), Business and International Management (189 citations), Molecular Biology (4.4k citations), Cancer Research (511 citations) and Oncology (678 citations). Xi Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Neville E. Sanjana, Feng Zhang, Ophir Shalem, David Scott, John G. Doench, Benjamin L. Ebert, Ella Hartenian, David E. Root, Dirk Heckl and Tarjei S. Mikkelsen. Their work appears in journals such as Science, Nature Methods, Journal of Agricultural and Food Chemistry, International Journal of Biological Macromolecules and Cell Death and Disease.
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.