Jiantao Shi

2.5k total citations
37 papers, 1.0k citations indexed

About

Jiantao Shi is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Jiantao Shi has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Hematology and 6 papers in Genetics. Recurrent topics in Jiantao Shi's work include Multiple Myeloma Research and Treatments (8 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (6 papers). Jiantao Shi is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (6 papers). Jiantao Shi collaborates with scholars based in China, United States and Italy. Jiantao Shi's co-authors include Irene M. Ghobrial, Antonio Sacco, Aldo M. Roccaro, Salomon Manier, Hongcang Gu, Yanzhi Du, Franziska Michor, Yuji Mishima, Davide Cacchiarelli and Daisy Huynh and has published in prestigious journals such as Nature, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Jiantao Shi

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiantao Shi China 15 749 302 246 125 103 37 1.0k
Benjamin J. Thompson United States 11 901 1.2× 301 1.0× 191 0.8× 262 2.1× 222 2.2× 22 1.3k
Thomas S. K. Wan Hong Kong 19 630 0.8× 194 0.6× 276 1.1× 226 1.8× 70 0.7× 56 1.1k
Kwan Yeung Wong Hong Kong 23 1.0k 1.4× 276 0.9× 812 3.3× 151 1.2× 105 1.0× 37 1.4k
Jinyong Wang China 17 550 0.7× 324 1.1× 104 0.4× 137 1.1× 248 2.4× 78 1.1k
Jeffrey R. Shearstone United States 15 644 0.9× 145 0.5× 108 0.4× 85 0.7× 133 1.3× 27 1.0k
Djoke van Gosliga Netherlands 13 570 0.8× 237 0.8× 65 0.3× 155 1.2× 119 1.2× 18 978
Brendan Antiochos United States 15 515 0.7× 461 1.5× 100 0.4× 129 1.0× 155 1.5× 29 1.4k
Lenka Sedlaříková Czechia 13 616 0.8× 290 1.0× 289 1.2× 277 2.2× 116 1.1× 33 1.0k
Crescenzio Francesco Minervini Italy 18 385 0.5× 228 0.8× 163 0.7× 71 0.6× 58 0.6× 56 761
Marina Bousquet France 17 684 0.9× 234 0.8× 467 1.9× 139 1.1× 93 0.9× 29 1.1k

Countries citing papers authored by Jiantao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jiantao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiantao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jiantao Shi. A scholar is included among the top collaborators of Jiantao 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 Jiantao Shi. Jiantao 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.
Hu, Xiaolin, Fei Cao, Mingxiang Zhang, et al.. (2025). Targeting symbionts by apolipoprotein L proteins modulates gut immunity. Nature. 643(8070). 210–218. 7 indexed citations
2.
Shi, Jiantao, Rudai Zhao, Siyu Lu, et al.. (2024). Additive‐Driven Enhancement of Crystallization: Strategies and Prospects for Boosting Photoluminescence Quantum Yields in Halide Perovskite Films for Light‐Emitting Diodes. Advanced Materials. 36(52). e2413673–e2413673. 14 indexed citations
3.
Zhang, Zhiqiang, Shan Wang, Chang Lu, et al.. (2024). Priority index for critical Covid-19 identifies clinically actionable targets and drugs. Communications Biology. 7(1). 189–189. 1 indexed citations
4.
Jankovic, Maja, Gabriela Galicia-Vázquez, Yi Ding, et al.. (2024). The E3 ubiquitin ligase Herc1 modulates the response to nucleoside analogs in acute myeloid leukemia. Blood Advances. 8(20). 5315–5329. 1 indexed citations
5.
Wang, Yunfei, Yanhua Zheng, Xue‐Rong Zhou, et al.. (2024). Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies. Briefings in Bioinformatics. 25(5). 2 indexed citations
6.
Hu, Can, et al.. (2023). Swc4 protects nucleosome-free rDNA, tDNA and telomere loci to inhibit genome instability. DNA repair. 127. 103512–103512.
7.
Zhang, Zhiqiang, et al.. (2023). mHapBrowser: a comprehensive database for visualization and analysis of DNA methylation haplotypes. Nucleic Acids Research. 52(D1). D929–D937. 5 indexed citations
8.
9.
Fang, Yi, Yulong Chen, Jinsong Li, et al.. (2023). Chromosome territory reorganization through artificial chromosome fusion is compatible with cell fate determination and mouse development. Cell Discovery. 9(1). 11–11. 8 indexed citations
10.
Zhang, Shirong, Yunfei Wang, Xianrang Song, et al.. (2023). DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues. Nature Communications. 14(1). 5686–5686. 20 indexed citations
11.
Xu, Qiong, et al.. (2022). Identification of Master Regulators Driving Disease Progression, Relapse, and Drug Resistance in Lung Adenocarcinoma. SHILAP Revista de lepidopterología. 2. 813960–813960. 1 indexed citations
12.
Shen, Yu J., Yuji Mishima, Jiantao Shi, et al.. (2020). Progression signature underlies clonal evolution and dissemination of multiple myeloma. Blood. 137(17). 2360–2372. 32 indexed citations
13.
Mercier, François, Jiantao Shi, David B. Sykes, et al.. (2017). A Genome-Wide, In Vivo, Dropout CRISPR Screen in Acute Myeloid Leukemia Identifies an Essential Role for Beta-Galactosylation in Leukemic Cell Homing. Blood. 130. 2493–2493. 2 indexed citations
14.
Sacco, Antonio, Aldo M. Roccaro, Dong-Dong Ma, et al.. (2016). Cancer Cell Dissemination and Homing to the Bone Marrow in a Zebrafish Model. Cancer Research. 76(2). 463–471. 41 indexed citations
15.
Dimont, Emmanuel, et al.. (2015). edgeRun: an R package for sensitive, functionally relevant differential expression discovery using an unconditional exact test. Bioinformatics. 31(15). 2589–2590. 44 indexed citations
16.
Manier, Salomon, Hervé Avet‐Loiseau, Federico Campigotto, et al.. (2015). Circulating exosomal microRNAs are critical prognostic markers independent of cytogenetics and International Staging System in Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 15. e47–e48. 2 indexed citations
17.
Mishima, Yuji, Michele Moschetta, Jiantao Shi, et al.. (2014). Clonal-Heterogeneity and Propensity for Bone Metastasis in Multiple Myeloma. Blood. 124(21). 3370–3370. 1 indexed citations
18.
Wang, Kankan, Hai Fang, Dakai Xiao, et al.. (2009). Converting Redox Signaling to Apoptotic Activities by Stress-Responsive Regulators HSF1 and NRF2 in Fenretinide Treated Cancer Cells. PLoS ONE. 4(10). e7538–e7538. 31 indexed citations
19.
Fu, Shijun, Jiantao Shi, Arhat Abzhanov, et al.. (2008). Peripheral arterial occlusive disease: Global gene expression analyses suggest a major role for immune and inflammatory responses. BMC Genomics. 9(1). 369–369. 58 indexed citations
20.
Tu, Zhiming, Guangyuan He, Junli Chang, et al.. (2005). An improved system for competent cell preparation and high efficiency plasmid transformation using different Escherichia coli strains. Electronic Journal of Biotechnology. 8(1). 113–120. 48 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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