Yanli Su

2.0k total citations
22 papers, 1.4k citations indexed

About

Yanli Su is a scholar working on Hepatology, Molecular Biology and Cancer Research. According to data from OpenAlex, Yanli Su has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hepatology, 10 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Yanli Su's work include Liver physiology and pathology (14 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cancer Genomics and Diagnostics (4 papers). Yanli Su is often cited by papers focused on Liver physiology and pathology (14 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cancer Genomics and Diagnostics (4 papers). Yanli Su collaborates with scholars based in United States, China and Israel. Yanli Su's co-authors include George F. Vande Woude, Yu-Wen Zhang, Olga V. Volpert, Julie Koeman, Chong Gao, Brian Cao, Ping Zhao, Rick V. Hay, Karl Dykema and Pamela J. Swiatek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Yanli Su

22 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanli Su United States 15 790 563 472 303 198 22 1.4k
Gayatry Mohapatra United States 14 743 0.9× 210 0.4× 517 1.1× 320 1.1× 486 2.5× 26 1.4k
Luca Emanuele Pollina Italy 22 750 0.9× 495 0.9× 1.1k 2.3× 566 1.9× 417 2.1× 63 2.1k
Zofia von Marschall Germany 20 848 1.1× 157 0.3× 609 1.3× 398 1.3× 103 0.5× 26 1.6k
Leonardo Faoro United States 16 686 0.9× 121 0.2× 691 1.5× 192 0.6× 344 1.7× 36 1.6k
Toshiaki Manabe Japan 20 543 0.7× 179 0.3× 616 1.3× 225 0.7× 573 2.9× 43 1.6k
Kanan Pujara United States 7 1.0k 1.3× 173 0.3× 295 0.6× 157 0.5× 219 1.1× 8 1.2k
Rajiv Bassi United States 19 925 1.2× 113 0.2× 783 1.7× 280 0.9× 373 1.9× 26 1.7k
Abha Khanna United States 12 764 1.0× 219 0.4× 761 1.6× 402 1.3× 352 1.8× 28 1.8k
Kazuhiko Date Japan 10 369 0.5× 506 0.9× 229 0.5× 133 0.4× 93 0.5× 11 836
Shuji Kitahara Japan 14 425 0.5× 212 0.4× 707 1.5× 284 0.9× 229 1.2× 32 1.4k

Countries citing papers authored by Yanli Su

Since Specialization
Citations

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

Fields of papers citing papers by Yanli Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanli Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yanli Su. A scholar is included among the top collaborators of Yanli Su 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 Yanli Su. Yanli Su 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.
Su, Yanli, Tianjun Xu, & Yuena Sun. (2024). Evolutionarily conserved Otub1 suppresses antiviral immune response by promoting Irf3 proteasomal degradation in miiuy croaker, Miichthys miiuy. Developmental & Comparative Immunology. 159. 105218–105218. 1 indexed citations
2.
3.
Gao, Chong, Yanli Su, Julie Koeman, et al.. (2016). Chromosome instability drives phenotypic switching to metastasis. Proceedings of the National Academy of Sciences. 113(51). 14793–14798. 60 indexed citations
4.
Gao, Chong, Yanli Su, & George Vande Woude. (2012). Abstract 326: Aneuploidy-driven clonal diversification underlies tumor phenotype switching. Cancer Research. 72(8_Supplement). 326–326. 1 indexed citations
5.
Xie, Qian, Robert H. Bradley, Liang Kang, et al.. (2011). Hepatocyte growth factor (HGF) autocrine activation predicts sensitivity to MET inhibition in glioblastoma. Proceedings of the National Academy of Sciences. 109(2). 570–575. 99 indexed citations
6.
Zhang, Yuwen, Ben Staal, Curt J. Essenburg, et al.. (2010). MET Kinase Inhibitor SGX523 Synergizes with Epidermal Growth Factor Receptor Inhibitor Erlotinib in a Hepatocyte Growth Factor–Dependent Fashion to Suppress Carcinoma Growth. Cancer Research. 70(17). 6880–6890. 61 indexed citations
7.
Graveel, Carrie R., Yanli Su, Julie Koeman, et al.. (2009). Met induces diverse mammary carcinomas in mice and is associated with human basal breast cancer. Proceedings of the National Academy of Sciences. 106(31). 12909–12914. 91 indexed citations
8.
9.
Zhang, Yuwen, Yanli Su, Sharianne G. Louie, et al.. (2008). Combination efficacy with MetMAb and erlotinib in a NSCLC tumor model highlight therapeutic opportunities for c-Met inhibitors in combination with EGFR inhibitors. Cancer Research. 68. 1336–1336. 9 indexed citations
10.
Gao, Chong, Kyle Furge, Julie Koeman, et al.. (2007). Chromosome instability, chromosome transcriptome, and clonal evolution of tumor cell populations. Proceedings of the National Academy of Sciences. 104(21). 8995–9000. 112 indexed citations
11.
Zhao, Ping, Tessa Grabinski, Chong Gao, et al.. (2007). Identification of a Met-Binding Peptide from a Phage Display Library. Clinical Cancer Research. 13(20). 6049–6055. 38 indexed citations
12.
Wang, Shuxiang, Hong Shang, Xiaoxu Han, et al.. (2006). [Variant genotyping of CCR2-64I, SDF1-3' A and CCR5Delta32 in HIV-1 infected Chinese long-term nonprogressors].. PubMed. 20(1). 16–9. 5 indexed citations
13.
Gao, Chong, Qian Xie, Yanli Su, et al.. (2005). Proliferation and invasion: Plasticity in tumor cells. Proceedings of the National Academy of Sciences. 102(30). 10528–10533. 149 indexed citations
14.
Hay, Rick V., Brian Cao, Yanli Su, et al.. (2005). Nuclear Imaging of Met-Expressing Human and Canine Cancer Xenografts with Radiolabeled Monoclonal Antibodies (MetSeekTM). Clinical Cancer Research. 11(19). 7064s–7069s. 21 indexed citations
15.
Zhang, Yuwen, Yanli Su, Nathan Lanning, et al.. (2004). Enhanced growth of human met-expressing xenografts in a new strain of immunocompromised mice transgenic for human hepatocyte growth factor/scatter factor. Oncogene. 24(1). 101–106. 63 indexed citations
16.
Su, Yanli, Julie Koeman, Lingmei Wang, et al.. (2004). Activating Met mutations produce unique tumor profiles in mice with selective duplication of the mutant allele. Proceedings of the National Academy of Sciences. 101(49). 17198–17203. 86 indexed citations
17.
Hay, Rick V., Brian Cao, Yanli Su, et al.. (2003). Radioimmunoscintigraphy of human met-expressing tumor xenografts using met3, a new monoclonal antibody.. PubMed. 9(10 Pt 2). 3839S–44S. 11 indexed citations
18.
Hay, Rick V., Brian Cao, Lingmei Wang, et al.. (2002). Radioimmunoscintigraphy of Tumors Autocrine for Human Met and Hepatocyte Growth Factor/Scatter Factor. Molecular Imaging. 1(1). 5 indexed citations
19.
Hay, Rick V., Brian Cao, Yanli Su, et al.. (2002). Radioimmunoscintigraphy of Tumors Autocrine for Human Met and Hepatocyte Growth Factor/Scatter Factor. Molecular Imaging. 1(1). 56–62. 20 indexed citations
20.
Cao, Brian, Yanli Su, Marianne Oskarsson, et al.. (2001). Neutralizing monoclonal antibodies to hepatocyte growth factor/scatter factor (HGF/SF) display antitumor activity in animal models. Proceedings of the National Academy of Sciences. 98(13). 7443–7448. 177 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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