Suiyuan Zhang

1.6k total citations
18 papers, 824 citations indexed

About

Suiyuan Zhang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Suiyuan Zhang has authored 18 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Suiyuan Zhang's work include RNA Research and Splicing (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and CRISPR and Genetic Engineering (3 papers). Suiyuan Zhang is often cited by papers focused on RNA Research and Splicing (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and CRISPR and Genetic Engineering (3 papers). Suiyuan Zhang collaborates with scholars based in United States, Canada and Austria. Suiyuan Zhang's co-authors include James C. Mullikin, Daphne W. Bell, Matthieu Le Gallo, Dennis C. Sgroi, Meghan L. Rudd, Nancy F. Hansen, Mary Ellen Urick, Maria J. Merino, Andrew K. Godwin and Jessica C. Price and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and PLoS ONE.

In The Last Decade

Suiyuan Zhang

18 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suiyuan Zhang United States 12 539 202 144 113 110 18 824
Daniel Edsgärd Sweden 11 1.1k 2.1× 187 0.9× 243 1.7× 42 0.4× 64 0.6× 14 1.4k
Monika Bialecka Netherlands 17 989 1.8× 74 0.4× 348 2.4× 28 0.2× 90 0.8× 26 1.3k
Mitsutaka Kadota Japan 20 805 1.5× 173 0.9× 284 2.0× 26 0.2× 146 1.3× 47 1.1k
Pedro P. Rocha United States 19 1.3k 2.4× 109 0.5× 195 1.4× 28 0.2× 37 0.3× 29 1.5k
Siim Pauklin United Kingdom 21 1.3k 2.4× 229 1.1× 136 0.9× 20 0.2× 331 3.0× 35 1.8k
Eric M. Mendenhall United States 13 1.9k 3.5× 177 0.9× 368 2.6× 28 0.2× 86 0.8× 27 2.1k
Xiongfeng Chen China 11 710 1.3× 107 0.5× 132 0.9× 26 0.2× 130 1.2× 21 1.1k
Geoffrey J. Maher United Kingdom 14 801 1.5× 125 0.6× 326 2.3× 19 0.2× 43 0.4× 26 1.2k
Catherine M. Browne Australia 10 479 0.9× 52 0.3× 81 0.6× 45 0.4× 326 3.0× 16 904
Michael L. Gagnon United States 13 909 1.7× 150 0.7× 62 0.4× 19 0.2× 296 2.7× 14 1.1k

Countries citing papers authored by Suiyuan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Suiyuan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suiyuan Zhang

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

All Works

18 of 18 papers shown
1.
Moreland, R. Travis, et al.. (2024). An AI‐generated proteome‐scale dataset of predicted protein structures for the ctenophore Mnemiopsis leidyi. PROTEOMICS. 24(15). e2300397–e2300397. 2 indexed citations
2.
Cazet, Jack F., Stefan Siebert, Abby S. Primack, et al.. (2023). A chromosome-scale epigenetic map of the Hydra genome reveals conserved regulators of cell state. Genome Research. 33(2). 283–298. 29 indexed citations
3.
Paschall, Justin, Suiyuan Zhang, Morgan Similuk, et al.. (2023). Genotype first: Clinical genomics research through a reverse phenotyping approach. The American Journal of Human Genetics. 110(1). 3–12. 32 indexed citations
4.
Gordon‐Lipkin, Eliza, Elizabeth Thompson, Derek Gildea, et al.. (2023). Primary oxidative phosphorylation defects lead to perturbations in the human B cell repertoire. Frontiers in Immunology. 14. 1142634–1142634. 4 indexed citations
5.
Rudd, Meghan L., Nancy F. Hansen, Xiaolu Zhang, et al.. (2022). KLF3 and PAX6 are candidate driver genes in late-stage, MSI-hypermutated endometrioid endometrial carcinomas. PLoS ONE. 17(1). e0251286–e0251286. 2 indexed citations
6.
Chen, Zelin, Yoshihiro Omori, Sergey Koren, et al.. (2019). De novo assembly of the goldfish ( Carassius auratus ) genome and the evolution of genes after whole-genome duplication. Science Advances. 5(6). eaav0547–eaav0547. 138 indexed citations
7.
Gallo, Matthieu Le, Meghan L. Rudd, Mary Ellen Urick, et al.. (2017). Somatic mutation profiles of clear cell endometrial tumors revealed by whole exome and targeted gene sequencing. Cancer. 123(17). 3261–3268. 63 indexed citations
8.
Wen, Jianghui, et al.. (2017). New periodically variable speed limits rule for highways with mathematical model and simulation. IET Intelligent Transport Systems. 12(3). 227–235. 2 indexed citations
9.
Winter, Jean M., Derek Gildea, Jonathan Andreas, et al.. (2016). Mapping Complex Traits in a Diversity Outbred F1 Mouse Population Identifies Germline Modifiers of Metastasis in Human Prostate Cancer. Cell Systems. 4(1). 31–45.e6. 38 indexed citations
10.
Varshney, Gaurav K., Suiyuan Zhang, Katherine E. Schaffer, et al.. (2015). CRISPRz: a database of zebrafish validated sgRNAs. Nucleic Acids Research. 44(D1). D822–D826. 35 indexed citations
11.
Williams, Kendra A., Ying Hu, Jonathan Andreas, et al.. (2015). GNL3 and SKA3 are novel prostate cancer metastasis susceptibility genes. Clinical & Experimental Metastasis. 32(8). 769–782. 43 indexed citations
12.
Qiao, Mengyu, Suiyuan Zhang, Andrew H. Sung, & Qingzhong Liu. (2015). A Novel Touchscreen-Based Authentication Scheme Using Static and Dynamic Hand Biometrics. Aquila Digital Community (University of Southern Mississippi). 494–503. 2 indexed citations
13.
Williams, Kendra A., et al.. (2015). Abstract 2261: DLGAP5, MAT1A, SKA3, and ZMYM5 are novel susceptibility genes for aggressive prostate cancer. Cancer Research. 75(15_Supplement). 2261–2261. 1 indexed citations
14.
Williams, Kendra A., Ying Hu, Jonathan Andreas, et al.. (2014). A Systems Genetics Approach Identifies CXCL14, ITGAX, and LPCAT2 as Novel Aggressive Prostate Cancer Susceptibility Genes. PLoS Genetics. 10(11). e1004809–e1004809. 61 indexed citations
15.
Rudd, Meghan L., Hassan Mohamed, Jessica C. Price, et al.. (2014). Mutational analysis of the tyrosine kinome in serous and clear cell endometrial cancer uncovers rare somatic mutations in TNK2 and DDR1. BMC Cancer. 14(1). 884–884. 12 indexed citations
16.
Price, Jessica C., Lana M. Pollock, Meghan L. Rudd, et al.. (2013). Sequencing of Candidate Chromosome Instability Genes in Endometrial Cancers Reveals Somatic Mutations in ESCO1, CHTF18, and MRE11A. PLoS ONE. 8(6). e63313–e63313. 25 indexed citations
17.
Varshney, Gaurav K., Haigen Huang, Suiyuan Zhang, et al.. (2012). The Zebrafish Insertion Collection (ZInC): a web based, searchable collection of zebrafish mutations generated by DNA insertion. Nucleic Acids Research. 41(D1). D861–D864. 20 indexed citations
18.
Gallo, Matthieu Le, Andrea O’Hara, Meghan L. Rudd, et al.. (2012). Exome sequencing of serous endometrial tumors identifies recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes. Nature Genetics. 44(12). 1310–1315. 315 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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