Shile Liang

1.1k total citations
19 papers, 953 citations indexed

About

Shile Liang is a scholar working on Immunology and Allergy, Molecular Biology and Hematology. According to data from OpenAlex, Shile Liang has authored 19 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology and Allergy, 8 papers in Molecular Biology and 8 papers in Hematology. Recurrent topics in Shile Liang's work include Cell Adhesion Molecules Research (13 papers), Platelet Disorders and Treatments (7 papers) and Angiogenesis and VEGF in Cancer (5 papers). Shile Liang is often cited by papers focused on Cell Adhesion Molecules Research (13 papers), Platelet Disorders and Treatments (7 papers) and Angiogenesis and VEGF in Cancer (5 papers). Shile Liang collaborates with scholars based in United States, China and South Korea. Shile Liang's co-authors include Cheng Dong, Arati Sharma, Gavin P. Robertson, Margaret J. Slattery, Sung Jin Huh, Hsin‐Hsin Peng, Andrew J. Henderson, Scott I. Simon, Melissa Tran and Shantu Amin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Shile Liang

19 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shile Liang United States 12 385 359 357 247 162 19 953
Elizabeth M. Morse United States 11 525 1.4× 602 1.7× 416 1.2× 125 0.5× 167 1.0× 14 1.2k
Silke Aigner Germany 10 429 1.1× 286 0.8× 469 1.3× 316 1.3× 166 1.0× 18 1.1k
Gabriel J. Villares United States 18 330 0.9× 241 0.7× 666 1.9× 124 0.5× 97 0.6× 19 1.2k
Maya Zigler United States 17 300 0.8× 273 0.8× 565 1.6× 109 0.4× 93 0.6× 23 961
Shahinoor Begum United States 8 409 1.1× 158 0.4× 404 1.1× 104 0.4× 86 0.5× 13 988
Andreas Enns Germany 9 289 0.8× 137 0.4× 506 1.4× 122 0.5× 143 0.9× 9 889
Vandana Iyer United States 14 274 0.7× 229 0.6× 445 1.2× 251 1.0× 152 0.9× 14 860
Stefan Knackmuss Germany 23 660 1.7× 485 1.4× 534 1.5× 180 0.7× 49 0.3× 41 1.4k
J. Bamat Switzerland 8 306 0.8× 173 0.5× 465 1.3× 189 0.8× 187 1.2× 9 980
Manuela Kaspar Switzerland 16 733 1.9× 629 1.8× 607 1.7× 343 1.4× 82 0.5× 17 1.6k

Countries citing papers authored by Shile Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shile Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shile Liang

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

All Works

19 of 19 papers shown
1.
Lim, Sun Min, Hyun Chang, Yoon Jin, et al.. (2017). Validation of ALK/ROS1 Dual Break Apart FISH Probe probe in non-small-cell lung cancer. Lung Cancer. 111. 79–83. 7 indexed citations
2.
3.
Liang, Shile, Pranil Chandra, Zeqiang Ma, et al.. (2013). A community-based program for personalized cancer care using next-generation sequencing (NGS).. Journal of Clinical Oncology. 31(15_suppl). 11102–11102. 1 indexed citations
4.
Yardley, Denise A., Zeqiang Ma, Patrick J. Ward, et al.. (2013). Abstract 2397: Correlation between biomarker status and response to EGFR inhibition in triple-negative breast cancer (TNBC): findings from a Phase II trial.. Cancer Research. 73(8_Supplement). 2397–2397. 1 indexed citations
5.
Tong, Chunfang, Yuxin Gao, Yan Zhang, et al.. (2011). Determining β2-Integrin and Intercellular Adhesion Molecule 1 Binding Kinetics in Tumor Cell Adhesion to Leukocytes and Endothelial Cells by a Gas-driven Micropipette Assay. Journal of Biological Chemistry. 286(40). 34777–34787. 28 indexed citations
6.
Liang, Shile, et al.. (2010). Application of Population Dynamics to Study Heterotypic Cell Aggregations in the Near-Wall Region of a Shear Flow. Cellular and Molecular Bioengineering. 3(1). 3–19. 4 indexed citations
7.
Liang, Shile, et al.. (2010). Tumor cell extravasation mediated by leukocyte adhesion is shear rate dependent on IL-8 signaling.. PubMed. 7(2). 77–91. 11 indexed citations
8.
Huh, Sung Jin, Shile Liang, Arati Sharma, Cheng Dong, & Gavin P. Robertson. (2010). Transiently Entrapped Circulating Tumor Cells Interact with Neutrophils to Facilitate Lung Metastasis Development. Cancer Research. 70(14). 6071–6082. 288 indexed citations
9.
Liang, Shile, et al.. (2008). Two-dimensional kinetics of β2-integrin and ICAM-1 bindings between neutrophils and melanoma cells in a shear flow. American Journal of Physiology-Cell Physiology. 294(3). C743–C753. 36 indexed citations
10.
Liang, Shile & Cheng Dong. (2008). Integrin VLA-4 enhances sialyl-Lewisx/a-negative melanoma adhesion to and extravasation through the endothelium under low flow conditions. American Journal of Physiology-Cell Physiology. 295(3). C701–C707. 48 indexed citations
11.
Liang, Shile, et al.. (2008). Hydrodynamic Shear Rate Regulates Melanoma-Leukocyte Aggregation, Melanoma Adhesion to the Endothelium, and Subsequent Extravasation. Annals of Biomedical Engineering. 36(4). 661–671. 65 indexed citations
12.
Liang, Shile, et al.. (2008). Effects of the Tumor-Leukocyte Microenvironment on Melanoma–Neutrophil Adhesion to the Endothelium in a Shear Flow. Cellular and Molecular Bioengineering. 1(2-3). 189–200. 25 indexed citations
13.
Liang, Shile, Arati Sharma, Hsin‐Hsin Peng, Gavin P. Robertson, & Cheng Dong. (2007). Targeting Mutant (V600E)B-Rafin Melanoma Interrupts Immunoediting of Leukocyte Functions and Melanoma Extravasation. Cancer Research. 67(12). 5814–5820. 76 indexed citations
14.
Peng, Hsin‐Hsin, Shile Liang, Andrew J. Henderson, & Cheng Dong. (2006). Regulation of interleukin-8 expression in melanoma-stimulated neutrophil inflammatory response. Experimental Cell Research. 313(3). 551–559. 64 indexed citations
15.
Slattery, Margaret J., et al.. (2006). Monte carlo simulation of heterotypic cell aggregation in nonlinear shear flow. Mathematical Biosciences & Engineering. 3(4). 683–696. 10 indexed citations
16.
17.
Liang, Shile, Margaret J. Slattery, & Cheng Dong. (2005). Shear stress and shear rate differentially affect the multi-step process of leukocyte-facilitated melanoma adhesion. Experimental Cell Research. 310(2). 282–292. 57 indexed citations
18.
Dong, Cheng, Margaret J. Slattery, Shile Liang, & Hsin‐Hsin Peng. (2005). Melanoma cell extravasation under flow conditions is modulated by leukocytes and endogenously produced interleukin 8.. PubMed. 2(3). 145–59. 64 indexed citations
19.
Slattery, Margaret J., Shile Liang, & Cheng Dong. (2004). Distinct role of hydrodynamic shear in leukocyte-facilitated tumor cell extravasation. American Journal of Physiology-Cell Physiology. 288(4). C831–C839. 75 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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