Guihua Sun

3.8k total citations · 1 hit paper
35 papers, 2.5k citations indexed

About

Guihua Sun is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Guihua Sun has authored 35 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Guihua Sun's work include MicroRNA in disease regulation (16 papers), RNA Interference and Gene Delivery (13 papers) and RNA Research and Splicing (7 papers). Guihua Sun is often cited by papers focused on MicroRNA in disease regulation (16 papers), RNA Interference and Gene Delivery (13 papers) and RNA Research and Splicing (7 papers). Guihua Sun collaborates with scholars based in United States, Taiwan and China. Guihua Sun's co-authors include John J. Rossi, Yanhong Shi, Qi Cui, Arthur D. Riggs, Guoqiang Sun, Peng Ye, Qiuhao Qu, Yue Huang, Li Li and Hailing Shi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Guihua Sun

35 papers receiving 2.4k citations

Hit Papers

m6A RNA Methylation Regulates the Self-Renewal and Tumori... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guihua Sun United States 20 2.0k 1.3k 167 152 142 35 2.5k
Angela Gallo Italy 30 2.4k 1.2× 500 0.4× 200 1.2× 160 1.1× 14 0.1× 54 2.7k
Yuanwu Ma China 23 1.3k 0.7× 654 0.5× 686 4.1× 153 1.0× 27 0.2× 47 2.0k
Ian Pitha United States 21 1.8k 0.9× 1.1k 0.9× 629 3.8× 167 1.1× 9 0.1× 48 2.8k
Rory Johnson Switzerland 35 5.2k 2.6× 3.8k 3.0× 205 1.2× 356 2.3× 18 0.1× 58 5.9k
Tommaso Leonardi United Kingdom 18 1.6k 0.8× 827 0.6× 198 1.2× 59 0.4× 29 0.2× 30 1.9k
Demián Cazalla United States 14 1.3k 0.6× 675 0.5× 151 0.9× 66 0.4× 11 0.1× 21 1.6k
Peng‐Peng Zhu China 21 1.1k 0.6× 416 0.3× 97 0.6× 135 0.9× 12 0.1× 56 2.2k
Jiekai Chen China 30 2.7k 1.3× 297 0.2× 110 0.7× 345 2.3× 47 0.3× 66 3.1k
Riccardo L. Rossi Italy 24 1.0k 0.5× 580 0.5× 452 2.7× 204 1.3× 10 0.1× 45 1.9k
Puping Liang China 19 2.0k 1.0× 397 0.3× 355 2.1× 428 2.8× 11 0.1× 38 2.5k

Countries citing papers authored by Guihua Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guihua Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihua Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guihua Sun. A scholar is included among the top collaborators of Guihua Sun 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 Guihua Sun. Guihua Sun 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.
Qin, Yue, Qi Cui, Guihua Sun, et al.. (2024). Developing enhanced immunotherapy using NKG2A knockout human pluripotent stem cell-derived NK cells. Cell Reports. 43(11). 114867–114867. 10 indexed citations
2.
Liu, Zhenqing, Jianfei Chao, Cheng Wang, et al.. (2023). Astrocytic response mediated by the CLU risk allele inhibits OPC proliferation and myelination in a human iPSC model. Cell Reports. 42(8). 112841–112841. 18 indexed citations
3.
Sun, Guihua, et al.. (2023). Reassessing the Abundance of miRNAs in the Human Pancreas and Rodent Cell Lines and Its Implication. Non-Coding RNA. 9(2). 20–20. 2 indexed citations
4.
Cui, Qi, Gustavo Garcia, Chao Qin, et al.. (2023). The Apolipoprotein E neutralizing antibody inhibits SARS‐CoV‐2 infection by blocking cellular entry of lipoviral particles. SHILAP Revista de lepidopterología. 4(5). e400–e400. 5 indexed citations
5.
Chao, Jianfei, Lizhao Feng, Peng Ye, et al.. (2022). Therapeutic development for Canavan disease using patient iPSCs introduced with the wild-type ASPA gene. iScience. 25(6). 104391–104391. 9 indexed citations
6.
Sun, Guihua, Qi Cui, Gustavo Garcia, et al.. (2022). Viral and Host Small RNA Response to SARS-CoV-2 Infection. SHILAP Revista de lepidopterología. 13(4). 788–808. 2 indexed citations
7.
Sun, Guihua, Qi Cui, Gustavo Garcia, et al.. (2021). Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses. Scientific Reports. 11(1). 17146–17146. 25 indexed citations
8.
Wang, Cheng, Mingzi Zhang, Gustavo Garcia, et al.. (2021). ApoE-Isoform-Dependent SARS-CoV-2 Neurotropism and Cellular Response. Cell stem cell. 28(2). 331–342.e5. 157 indexed citations
9.
Sun, Guihua & Arthur D. Riggs. (2017). A Simple and Cost-Effective Approach for In Vitro Production of Sliced siRNAs as Potent Triggers for RNAi. Molecular Therapy — Nucleic Acids. 8. 345–355. 9 indexed citations
10.
Sun, Guihua, et al.. (2015). Molecular Properties, Functional Mechanisms, and Applications of Sliced siRNA. Molecular Therapy — Nucleic Acids. 4. e221–e221. 19 indexed citations
11.
Zhang, Keqiang, Hanlin Gao, Xiwei Wu, et al.. (2014). Frequent Overexpression of HMGA2 in Human Atypical Teratoid/Rhabdoid Tumor and Its Correlation with let-7a3/let-7b miRNA. Clinical Cancer Research. 20(5). 1179–1189. 32 indexed citations
12.
Wang, Lisheng, Ling Li, Liang Li, et al.. (2014). MicroRNA-486 regulates normal erythropoiesis and enhances growth and modulates drug response in CML progenitors. Blood. 125(8). 1302–1313. 128 indexed citations
13.
Voutila, Jon, Pål Sætrom, Paul J. Mintz, et al.. (2012). Gene Expression Profile Changes After Short-activating RNA-mediated Induction of Endogenous Pluripotency Factors in Human Mesenchymal Stem Cells. Molecular Therapy — Nucleic Acids. 1. e35–e35. 29 indexed citations
14.
Sun, Guihua & John J. Rossi. (2011). MicroRNAs and their potential involvement in HIV infection. Trends in Pharmacological Sciences. 32(11). 675–681. 34 indexed citations
15.
Sun, Guihua, Xiwei Wu, Jinhui Wang, et al.. (2011). A bias-reducing strategy in profiling small RNAs using Solexa. RNA. 17(12). 2256–2262. 36 indexed citations
16.
Liu, Yong, et al.. (2010). Estimation of mating system in natural Oryza rufipogon populations by SSR markers.. Zhongguo shuidao kexue. 24(6). 601–607. 1 indexed citations
17.
Sun, Guihua & John J. Rossi. (2009). Problems associated with reporter assays in RNAi studies. RNA Biology. 6(4). 406–411. 15 indexed citations
18.
Sun, Guihua, Yan Jin, Jinong Feng, et al.. (2009). SNPs in human miRNA genes affect biogenesis and function. RNA. 15(9). 1640–1651. 283 indexed citations
19.
Sun, Guihua, Haitang Li, & John J. Rossi. (2007). Cloning and Detecting Signature MicroRNAs from Mammalian Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 427. 123–138. 13 indexed citations
20.
Aagaard, Lars, Mohammed Amarzguioui, Guihua Sun, et al.. (2007). A Facile Lentiviral Vector System for Expression of Doxycycline-Inducible shRNAs: Knockdown of the Pre-miRNA Processing Enzyme Drosha. Molecular Therapy. 15(5). 938–945. 44 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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