Manway Liu

16.2k total citations · 2 hit papers
14 papers, 1.8k citations indexed

About

Manway Liu is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manway Liu has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manway Liu's work include Adipose Tissue and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Advanced Breast Cancer Therapies (2 papers). Manway Liu is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Advanced Breast Cancer Therapies (2 papers). Manway Liu collaborates with scholars based in United States, Switzerland and Spain. Manway Liu's co-authors include J. Titano, Marcus A. Badgeley, Eric K. Oermann, Anthony Costa, John R. Zech, Simon Kasif, Alan Huang, Robert Schlegel, Joseph Lehár and Arthur Liberzon and has published in prestigious journals such as Bioinformatics, Cancer Cell and Cancer Research.

In The Last Decade

Manway Liu

14 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

2018 826 citations John R. Zech, Marcus A. Badgeley et al. PLoS Medicine profile →
CDK 4/6 Inhibitors Sensitize PIK3CA Mutant Breast Cancer to PI3K Inhibitors

2014 351 citations Sadhna Vora, Dejan Juric et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manway Liu United States	12	607	458	406	358	339	14	1.8k
Lisa C. Adams Germany	26	260 0.4×	735 1.6×	317 0.8×	306 0.9×	197 0.6×	133	2.1k
Gigin Lin Taiwan	30	490 0.8×	1.0k 2.3×	591 1.5×	252 0.7×	337 1.0×	141	2.8k
Phedias Diamandis Canada	22	571 0.9×	320 0.7×	137 0.3×	362 1.0×	210 0.6×	60	1.6k
Sebastian Foersch Germany	25	498 0.8×	568 1.2×	386 1.0×	478 1.3×	767 2.3×	70	2.2k
Chengdi Wang China	28	729 1.2×	725 1.6×	897 2.2×	277 0.8×	515 1.5×	102	2.7k
Clare Verrill United Kingdom	27	761 1.3×	728 1.6×	453 1.1×	817 2.3×	722 2.1×	102	2.7k
Alexis B. Carter United States	20	402 0.7×	333 0.7×	194 0.5×	627 1.8×	245 0.7×	50	1.9k
Pooja Rao United States	10	663 1.1×	397 0.9×	133 0.3×	250 0.7×	79 0.2×	14	1.8k
Eoin McKinney United Kingdom	24	615 1.0×	200 0.4×	361 0.9×	138 0.4×	354 1.0×	40	2.6k
Jeremy R. Glissen Brown United States	24	271 0.4×	921 2.0×	832 2.0×	518 1.4×	1.4k 4.1×	72	2.6k

Countries citing papers authored by Manway Liu

Since Specialization

Citations

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

Fields of papers citing papers by Manway Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manway Liu

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

All Works

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14 of 14 papers shown

Vitko, Dijana, Joon‐Yong Lee, Chinmay Belthangady, et al.. (2024). timsTOF HT Improves Protein Identification and Quantitative Reproducibility for Deep Unbiased Plasma Protein Biomarker Discovery. Journal of Proteome Research. 23(3). 929–938. 21 indexed citations

Wilcox, Bruce A., John H. Blume, Kavya Swaminathan, et al.. (2022). Abstract 3924: Deep, unbiased multi-omics approach for identification of pancreatic cancer biomarkers from blood. Cancer Research. 82(12_Supplement). 3924–3924. 1 indexed citations

Zech, John R., Marcus A. Badgeley, Manway Liu, et al.. (2018). Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLoS Medicine. 15(11). e1002683–e1002683. 826 indexed citations breakdown →

Badgeley, Marcus A., Manway Liu, Benjamin S. Glicksberg, et al.. (2018). CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. Bioinformatics. 35(9). 1610–1612. 4 indexed citations

Lerín, Carles, Allison B. Goldfine, Tanner Boes, et al.. (2016). Defects in muscle branched-chain amino acid oxidation contribute to impaired lipid metabolism. Molecular Metabolism. 5(10). 926–936. 118 indexed citations

Huynh, Hung, Huai-Xiang Hao, Stephen L. Chan, et al.. (2015). Loss of Tuberous Sclerosis Complex 2 (TSC2) Is Frequent in Hepatocellular Carcinoma and Predicts Response to mTORC1 Inhibitor Everolimus. Molecular Cancer Therapeutics. 14(5). 1224–1235. 60 indexed citations

Vora, Sadhna, Dejan Juric, Mari Mino–Kenudson, et al.. (2014). CDK 4/6 Inhibitors Sensitize PIK3CA Mutant Breast Cancer to PI3K Inhibitors. Cancer Cell. 26(1). 136–149. 351 indexed citations breakdown →

Garon, Edward B., Richard S. Finn, Habib Hamidi, et al.. (2013). The HSP90 Inhibitor NVP-AUY922 Potently Inhibits Non–Small Cell Lung Cancer Growth. Molecular Cancer Therapeutics. 12(6). 890–900. 56 indexed citations

Ræder, Helge, Fiona E. McAllister, Erling Tjora, et al.. (2013). Carboxyl-Ester Lipase Maturity-Onset Diabetes of the Young Is Associated With Development of Pancreatic Cysts and Upregulated MAPK Signaling in Secretin-Stimulated Duodenal Fluid. Diabetes. 63(1). 259–269. 35 indexed citations

10.

Huang, Alan, Christine Fritsch, Christopher J. Wilson, et al.. (2012). Abstract 3749: Single agent activity of PIK3CA inhibitor BYL719 in a broad cancer cell line panel. Cancer Research. 72(8_Supplement). 3749–3749. 21 indexed citations

11.

Thomas, Hala Elnakat, Carol A. Mercer, Larissa S. Carnevalli, et al.. (2012). mTOR Inhibitors Synergize on Regression, Reversal of Gene Expression, and Autophagy in Hepatocellular Carcinoma. Science Translational Medicine. 4(139). 139ra84–139ra84. 81 indexed citations

12.

Mori, Marcelo A., Manway Liu, Olivier Bézy, et al.. (2010). A Systems Biology Approach Identifies Inflammatory Abnormalities Between Mouse Strains Prior to Development of Metabolic Disease. Diabetes. 59(11). 2960–2971. 60 indexed citations

13.

Isganaitis, Elvira, Jose Jimenez-Chillaron, Melissa Woo, et al.. (2009). Accelerated Postnatal Growth Increases Lipogenic Gene Expression and Adipocyte Size in Low–Birth Weight Mice. Diabetes. 58(5). 1192–1200. 69 indexed citations

14.

Liu, Manway, Arthur Liberzon, Sek Won Kong, et al.. (2007). Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models. PLoS Genetics. 3(6). e96–e96. 132 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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