Feixiong Cheng

58.2k total citations · 12 hit papers
195 papers, 13.8k citations indexed

About

Feixiong Cheng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Feixiong Cheng has authored 195 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 69 papers in Computational Theory and Mathematics and 24 papers in Cancer Research. Recurrent topics in Feixiong Cheng's work include Computational Drug Discovery Methods (69 papers), Bioinformatics and Genomic Networks (56 papers) and Cancer Genomics and Diagnostics (14 papers). Feixiong Cheng is often cited by papers focused on Computational Drug Discovery Methods (69 papers), Bioinformatics and Genomic Networks (56 papers) and Cancer Genomics and Diagnostics (14 papers). Feixiong Cheng collaborates with scholars based in United States, China and Israel. Feixiong Cheng's co-authors include Yadi Zhou, Yun Tang, Weihua Li, Guixia Liu, Ruth Nussinov, Jie Shen, Zhongming Zhao, Zengrui Wu, Philip W. Lee and Yuan Hou and has published in prestigious journals such as Nucleic Acids Research, Circulation and Journal of Clinical Investigation.

In The Last Decade

Feixiong Cheng

186 papers receiving 13.6k citations

Hit Papers

5 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.

admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

2012 1.7k citations Feixiong Cheng, Weihua Li et al. profile →
Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

2020 1.1k citations Yadi Zhou, Yuan Hou et al. profile →
Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

2012 638 citations Feixiong Cheng, Weiqiang Lü et al. PLoS Computational Biology profile →
Network-based prediction of drug combinations

2019 503 citations Feixiong Cheng et al. Nature Communications profile →
deepDR: a network-based deep learning approach toin silicodrug repositioning

2019 374 citations Xiangxiang Zeng, Yadi Zhou et al. Bioinformatics profile →
Suppression of the SLC7A11/glutathione axis causes synthetic lethality in KRAS-mutant lung adenocarcinoma

2019 287 citations Feixiong Cheng et al. profile →
Alzheimer's disease drug development pipeline: 2023

2023 279 citations Jeffrey L. Cummings, Yadi Zhou et al. profile →
Target identification among known drugs by deep learning from heterogeneous networks

2020 257 citations Xiangxiang Zeng, Weiqiang Lü et al. profile →
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

2022 160 citations Xiangxiang Zeng, Kenli Li et al. profile →
Deep generative molecular design reshapes drug discovery

2022 145 citations Xiangxiang Zeng, Yuan Luo et al. profile →
Alzheimer's disease drug development pipeline: 2024

2024 138 citations Jeffrey L. Cummings, Yadi Zhou et al. profile →
Alzheimer's disease drug development pipeline: 2025

2025 29 citations Jeffrey L. Cummings, Yadi Zhou et al. profile →

Peers

Countries citing papers authored by Feixiong Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Feixiong Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feixiong Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson’s disease 2025 ·npj Parkinson s Disease ·(unknown), (unknown), Jielin Xu, Chengxi Zang, Chang Su, Andrew A. Pieper, James B. Leverenz, Fei Wang, (unknown), Jeffrey L. Cummings, Feixiong Cheng	4
2	Drug repurposing for Alzheimer’s disease and other neurodegenerative disorders 2025 ·Nature Communications ·Jeffrey L. Cummings, Yadi Zhou, Alexandra Stone, Davis Cammann, (unknown), Jorge Ramón Fonseca Cacho, Feixiong Cheng	10
3	Efficacy and safety of passive immunotherapies targeting amyloid beta in Alzheimer’s disease: A systematic review and meta-analysis 2025 ·PLoS Medicine ·(unknown), Yuan Hou, Bo Hu, (unknown), Andrew A. Pieper, Babak Tousi, James B. Leverenz, Feixiong Cheng	4
4	QDockBank: A dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers 2025 ·(unknown), (unknown), (unknown), Weiwen Jiang, Feixiong Cheng, (unknown), Qiang Guan	1
5	A Deep Multimodal Representation Learning Framework for Accurate Molecular Properties Prediction 2024 ·(unknown), (unknown), (unknown), (unknown), Jeremy Zucker, Song Feng, Feixiong Cheng, Qiang Guan	0
6	A molecular video-derived foundation model for scientific drug discovery 2024 ·Nature Communications ·(unknown), Li Zeng, (unknown), Kenli Li, Zhimin Fu, Yunguang Qiu, Ruth Nussinov, Jianying Hu, Michal Rosen‐Zvi, Xiangxiang Zeng, Feixiong Cheng	17
7	Aging‐related cell type‐specific pathophysiologic immune responses that exacerbate disease severity in aged COVID‐19 patients 2022 ·Aging Cell ·Yuan Hou, Yadi Zhou, Lara Jehi, Yuan Luo, Michaela U. Gack, Timothy A. Chan, Haiyuan Yu, Charis Eng, Andrew A. Pieper, Feixiong Cheng	10
8	Association Between Atrial Uptake on Cardiac Scintigraphy With Technetium-99m-Pyrophosphate Labeled Bone-Seeking Tracers and Atrial Fibrillation 2022 ·Circulation Cardiovascular Imaging ·Muzna Hussain, (unknown), Eoin Donnellan, Trejeeve Martyn, Ossama Abou Hassan, (unknown), Chris Watson, W.H. Wilson Tang, Deborah Kwon, Paul Cremer, Feixiong Cheng, Mohamed Kanj, Brian P. Griffin, Carmela D. Tan, E. René Rodríguez, Mazen Hanna, Wael A. Jaber, Patrick Collier	8
9	Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease 2022 ·PLoS Computational Biology ·Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, (unknown), Feixiong Cheng, Daifeng Wang	16
10	AlzGPS: a genome-wide positioning systems platform to catalyze multi-omics for Alzheimer’s drug discovery 2021 ·Alzheimer s Research & Therapy ·Yadi Zhou, Jiansong Fang, Lynn M. Bekris, Young Heon Kim, Andrew A. Pieper, James B. Leverenz, Jeffrey L. Cummings, Feixiong Cheng	56
11	Phosphorylation of PLCγ1 by EphA2 Receptor Tyrosine Kinase Promotes Tumor Growth in Lung Cancer 2020 ·Molecular Cancer Research ·Wenqiang Song, Laura C. Kim, Wei Han, Yuan Hou, Deanna N. Edwards, Shan Wang, Timothy S. Blackwell, Feixiong Cheng, Dana M. Brantley‐Sieders, Jin Chen	9
12	Clinical Validation of a Blood-Based Predictive Test for Stratification of Response to Tumor Necrosis Factor Inhibitor Therapies in Rheumatoid Arthritis Patients 2020 ·SHILAP Revista de lepidopterología ·Theodore Mellors, Johanna B. Withers, Asher Ameli, (unknown), Mengran Wang, Lixia Zhang, Helia N. Sanchez, Marc Santolini, Ítalo Faria do Valle, (unknown), Feixiong Cheng, Dimitrios A. Pappas, Joel M. Kremer, (unknown), Keith Johnson, (unknown), Susan Dina Ghiassian, Viatcheslav R. Akmaev	30
13	Pharmacogenomics meets precision cardio-oncology: is there synergistic potential? 2020 ·Human Molecular Genetics ·Jennifer Hockings, Jessica A. Castrillon, Feixiong Cheng	1
14	iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding 2020 ·PLoS Computational Biology ·Huiyuan Chen, Feixiong Cheng, Jing Li	58
15	Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6,700 cancer genomes 2020 ·PLoS Computational Biology ·Chuang Liu, Junfei Zhao, Weiqiang Lü, Yao Dai, Jennifer Hockings, Yadi Zhou, Ruth Nussinov, Charis Eng, Feixiong Cheng	38
16	Tissue-Specific Signaling Networks Rewired by Major Somatic Mutations in Human Cancer Revealed by Proteome-Wide Discovery 2017 ·Cancer Research ·Junfei Zhao, Feixiong Cheng, Zhongming Zhao	22
17	Entropy-based consensus clustering for patient stratification 2017 ·Bioinformatics ·Hongfu Liu, Rui Zhao, Hong-Sheng Fang, Feixiong Cheng, Yun Fu, Yang‐Yu Liu	66
18	A cross-cancer differential co-expression network reveals microRNA-regulated oncogenic functional modules 2015 ·Molecular BioSystems ·Chen-Ching Lin, Ramkrishna Mitra, Feixiong Cheng, Zhongming Zhao	9
19	Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs) 2013 ·Molecular BioSystems ·Feixiong Cheng, Weihua Li, Yadi Zhou, (unknown), Jie Shen, Philip W. Lee, Yun Tang	25
20	Prediction of chemical–protein interactions: multitarget-QSAR versus computational chemogenomic methods 2012 ·Molecular BioSystems ·Feixiong Cheng, Yadi Zhou, Jie Li, Weihua Li, Guixia Liu, Yun Tang	93

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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