Menglin Shang

546 total citations
10 papers, 438 citations indexed

About

Menglin Shang is a scholar working on Biomedical Engineering, Molecular Biology and Cell Biology. According to data from OpenAlex, Menglin Shang has authored 10 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Menglin Shang's work include Microfluidic and Bio-sensing Technologies (3 papers), 3D Printing in Biomedical Research (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Menglin Shang is often cited by papers focused on Microfluidic and Bio-sensing Technologies (3 papers), 3D Printing in Biomedical Research (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Menglin Shang collaborates with scholars based in Singapore, United States and Hong Kong. Menglin Shang's co-authors include Chwee Teck Lim, Jongyoon Han, Bee Luan Khoo, Ren Hao Soon, Joo Chuan Yeo, Jiahao Yu, Kenry Kenry, Kian Ping Loh, Igor V. Pivkin and Yasaman Nematbakhsh and has published in prestigious journals such as Scientific Reports, Small and Lab on a Chip.

In The Last Decade

Menglin Shang

10 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menglin Shang Singapore 8 277 112 100 58 41 10 438
Graeme Murray United States 11 176 0.6× 139 1.2× 242 2.4× 32 0.6× 38 0.9× 29 611
Aleksandra Sljukic Germany 4 234 0.8× 152 1.4× 192 1.9× 34 0.6× 30 0.7× 5 585
Seok-Hyun Kim South Korea 7 161 0.6× 96 0.9× 103 1.0× 8 0.1× 19 0.5× 14 378
Jinyi Lang China 15 199 0.7× 136 1.2× 146 1.5× 6 0.1× 36 0.9× 44 598
Michael Kao United States 10 190 0.7× 114 1.0× 281 2.8× 19 0.3× 7 0.2× 15 555
Fumika Nakamura Japan 13 190 0.7× 65 0.6× 90 0.9× 6 0.1× 12 0.3× 32 441
Emily Jackson United States 9 433 1.6× 88 0.8× 364 3.6× 46 0.8× 12 0.3× 13 721
Peilin Ma United States 11 78 0.3× 61 0.5× 261 2.6× 47 0.8× 12 0.3× 26 487
Chien‐Chung Peng Taiwan 12 754 2.7× 179 1.6× 161 1.6× 56 1.0× 8 0.2× 25 892
David B. Weinreb United States 8 83 0.3× 97 0.9× 152 1.5× 13 0.2× 33 0.8× 12 588

Countries citing papers authored by Menglin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Menglin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglin Shang

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

All Works

10 of 10 papers shown
1.
Jiang, Kuan, Su Bin Lim, Jingwei Xiao, et al.. (2023). Deleterious Mechanical Deformation Selects Mechanoresilient Cancer Cells with Enhanced Proliferation and Chemoresistance. Advanced Science. 10(22). e2201663–e2201663. 12 indexed citations
2.
Shang, Menglin, Taehong Kwon, Jean‐François P. Hamel, et al.. (2021). Investigating the influence of physiologically relevant hydrostatic pressure on CHO cell batch culture. Scientific Reports. 11(1). 162–162. 6 indexed citations
3.
Yin, Lu, Taehong Kwon, Menglin Shang, et al.. (2021). Miniature auto‐perfusion bioreactor system with spiral microfluidic cell retention device. Biotechnology and Bioengineering. 118(5). 1951–1961. 16 indexed citations
4.
Shang, Menglin, Su Bin Lim, Kuan Jiang, et al.. (2021). Microfluidic studies of hydrostatic pressure-enhanced doxorubicin resistance in human breast cancer cells. Lab on a Chip. 21(4). 746–754. 23 indexed citations
5.
Shang, Menglin, Ren Hao Soon, Chwee Teck Lim, Bee Luan Khoo, & Jongyoon Han. (2019). Microfluidic modelling of the tumor microenvironment for anti-cancer drug development. Lab on a Chip. 19(3). 369–386. 183 indexed citations
6.
Shang, Menglin, Ren Hao Soon, Chwee Teck Lim, Bee Luan Khoo, & Jongyoon Han. (2019). Functionalizing the Tumor Microenvironment with Microfluidics for Anti-cancer Drug Development. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
7.
Khoo, Bee Luan, Menglin Shang, Chin Hin Ng, et al.. (2019). Liquid biopsy for minimal residual disease detection in leukemia using a portable blast cell biochip. npj Precision Oncology. 3(1). 30–30. 28 indexed citations
8.
Nematbakhsh, Yasaman, et al.. (2017). Probing eukaryotic cell mechanics via mesoscopic simulations. PLoS Computational Biology. 13(9). e1005726–e1005726. 30 indexed citations
9.
Kenry, Kenry, Joo Chuan Yeo, Jiahao Yu, et al.. (2016). Highly Flexible Graphene Oxide Nanosuspension Liquid-Based Microfluidic Tactile Sensor. Small. 12(12). 1593–1604. 78 indexed citations
10.
Cao, Yan, Jinyang Cai, Suping Zhang, et al.. (2015). Loss of autophagy leads to failure in megakaryopoiesis, megakaryocyte differentiation, and thrombopoiesis in mice. Experimental Hematology. 43(6). 488–494. 61 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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