Yupu Liang

17.6k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Yupu Liang is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yupu Liang has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yupu Liang's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Handwritten Text Recognition Techniques (5 papers) and Natural Language Processing Techniques (4 papers). Yupu Liang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Handwritten Text Recognition Techniques (5 papers) and Natural Language Processing Techniques (4 papers). Yupu Liang collaborates with scholars based in United States, China and United Kingdom. Yupu Liang's co-authors include Nicholas D. Socci, Raya Khanin, Franck Rapaport, Christopher E. Mason, Doron Betel, Azra Krek, Paul Zumbo, Mono Pirun, Alexander R. Nectow and Jan L. Breslow and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yupu Liang

39 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.

Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data

2013 491 citations Franck Rapaport, Raya Khanin et al. Genome biology profile →

Peers

Yupu Liang

PHYSI

CMN

PRM

Emmanouíl Karteris United Kingdom

Satoru Arata Japan

Valérie Gailus‐Durner Germany

Ruijin Shao Sweden

Yahong Zhang China

Anna Johnsson Sweden

Ralf Gilsbach Germany

Sara Wells United Kingdom

Carlos A. Molina United States

Yan Gu China

Emmanouíl Karteris United Kingdom

Yupu Liang

614 ×0.6

235 ×0.8

212 ×0.8

PHYSI

158 ×0.6

CMN

189 ×0.9

PRM

Citations per year, relative to Yupu Liang Yupu Liang (= 1×) peers Emmanouíl Karteris

Countries citing papers authored by Yupu Liang

Since Specialization

Citations

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

Fields of papers citing papers by Yupu Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yupu Liang

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

All Works

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20 of 20 papers shown

Chatterjee, Aparajita, Parham Haddadi, Naomi H. Philip, et al.. (2025). Topology-driven negative sampling enhances generalizability in protein–protein interaction prediction. Bioinformatics. 41(5).

Zhang, Zhiyang, Yupu Liang, Cong Ma, et al.. (2025). Understand Layout and Translate Text: Unified Feature-Conductive End-to-End Document Image Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3358–3376. 2 indexed citations

Liang, Yupu, et al.. (2025). Glia detect and transiently protect against dendrite substructure disruption in C. elegans. Nature Communications. 16(1). 79–79. 2 indexed citations

Zhang, Zhiyang, Yupu Liang, Cong Ma, et al.. (2025). Reading When Translating: Multi-Modal Document Image Machine Translation With Reading Flow Prediction. IEEE Transactions on Audio Speech and Language Processing. 33. 2606–2621.

Zheng, Tengfei, Yupu Liang, Zhikang Li, et al.. (2024). Nuclear power plant pipeline detection robot based on a new radiation-proof material. Annals of Nuclear Energy. 202. 110455–110455. 4 indexed citations

Stefanakis, Nikolaos, et al.. (2024). LET-381/FoxF and its target UNC-30/Pitx2 specify and maintain the molecular identity of C. elegans mesodermal glia that regulate motor behavior. The EMBO Journal. 43(6). 956–992. 6 indexed citations

Liang, Yupu, Ya‐Ping Zhang, Cong Ma, et al.. (2024). Document Image Machine Translation with Dynamic Multi-pre-trained Models Assembling. 7084–7095. 1 indexed citations

Zhang, Zhiyang, et al.. (2023). LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder. 10043–10053. 3 indexed citations

Cohen, Louis, Sun M. Han, Yupu Liang, et al.. (2022). Unraveling function and diversity of bacterial lectins in the human microbiome. Nature Communications. 13(1). 3101–3101. 11 indexed citations

10.

Hur, Hong, et al.. (2021). Nuclear hormone receptors promote gut and glia detoxifying enzyme induction and protect C. elegans from the mold P. brevicompactum. Cell Reports. 37(13). 110166–110166. 7 indexed citations

11.

Zhou, Yan, Yupu Liang, & Mary Jeanne Kreek. (2020). mTORC1 pathway is involved in the kappa opioid receptor activation-induced increase in excessive alcohol drinking in mice. Pharmacology Biochemistry and Behavior. 195. 172954–172954. 5 indexed citations

12.

Katz, Menachem, Francis Corson, Wolfgang W. Keil, et al.. (2019). Glutamate spillover in C. elegans triggers repetitive behavior through presynaptic activation of MGL-2/mGluR5. Nature Communications. 10(1). 1882–1882. 58 indexed citations

13.

Mukhopadhyay, Suchetana, Yupu Liang, Hong Hur, et al.. (2019). Comparative transcriptome analysis of the human endocervix and ectocervix during the proliferative and secretory phases of the menstrual cycle. Scientific Reports. 9(1). 13494–13494. 7 indexed citations

14.

Grabell, Julie, Yupu Liang, James Riddel, et al.. (2019). Bleeding assessment tools to predict von Willebrand disease: Utility of individual bleeding symptoms. Research and Practice in Thrombosis and Haemostasis. 4(1). 92–99. 12 indexed citations

15.

Walker, Jeanne, José Alemán, Joel Corrêa da Rosa, et al.. (2018). The effects of trans-resveratrol on insulin resistance, inflammation, and microbiota in men with the metabolic syndrome: a pilot randomized, placebo controlled clinical trial. Journal of Clinical and Translational Research. 4(2). 122–135. 51 indexed citations

16.

Alemán, José O., Nicholas A. Bokulich, Jonathan R. Swann, et al.. (2018). Fecal microbiota and bile acid interactions with systemic and adipose tissue metabolism in diet-induced weight loss of obese postmenopausal women. Journal of Translational Medicine. 16(1). 244–244. 84 indexed citations

17.

Ponda, Manish P., Yupu Liang, Jaehwan Kim, et al.. (2017). A randomized clinical trial in vitamin D–deficient adults comparing replenishment with oral vitamin D3 with narrow-band UV type B light: effects on cholesterol and the transcriptional profiles of skin and blood ,. American Journal of Clinical Nutrition. 105(5). 1230–1238. 26 indexed citations

18.

Nectow, Alexander R., Marc Schneeberger, Hongxing Zhang, et al.. (2017). Identification of a Brainstem Circuit Controlling Feeding. Cell. 170(3). 429–442.e11. 114 indexed citations

19.

Rendon, Augusto, Ernest Turro, Yupu Liang, et al.. (2014). αIIbβ3 Variants Defined By Next Generation Sequencing: Implications for Predicting Variants Likely to Cause Glanzmann Thrombasthenia and Alloimmune Disorders. Blood. 124(21). 4151–4151. 1 indexed citations

20.

Rapaport, Franck, Raya Khanin, Yupu Liang, et al.. (2013). Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data. Genome biology. 14(9). R95–R95. 491 indexed citations breakdown →

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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