Yadi Zhou

9.9k total citations · 7 hit papers
59 papers, 6.1k citations indexed

About

Yadi Zhou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Yadi Zhou has authored 59 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 24 papers in Computational Theory and Mathematics and 8 papers in Infectious Diseases. Recurrent topics in Yadi Zhou's work include Computational Drug Discovery Methods (24 papers), Bioinformatics and Genomic Networks (16 papers) and COVID-19 Clinical Research Studies (7 papers). Yadi Zhou is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Bioinformatics and Genomic Networks (16 papers) and COVID-19 Clinical Research Studies (7 papers). Yadi Zhou collaborates with scholars based in United States, China and Israel. Yadi Zhou's co-authors include Feixiong Cheng, Yun Tang, Weihua Li, Guixia Liu, Yuan Hou, Jie Shen, Philip W. Lee, Zengrui Wu, Yin Huang and Jiayu Shen and has published in prestigious journals such as Circulation, Nature Communications and Nature Biotechnology.

In The Last Decade

Yadi Zhou

54 papers receiving 6.0k 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. Cell Discovery profile →
deepDR: a network-based deep learning approach toin silicodrug repositioning

2019 374 citations Xiangxiang Zeng, Siyi Zhu 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, Siyi Zhu 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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Yadi Zhou United States	27	2.7k	2.6k	1.1k	671	542	59	6.1k
Taj Mohammad India	39	2.5k 0.9×	1.2k 0.5×	932 0.9×	797 1.2×	483 0.9×	191	5.3k
Ruili Huang United States	48	3.3k 1.2×	2.6k 1.0×	445 0.4×	618 0.9×	583 1.1×	219	8.0k
Douglas E. V. Pires Australia	35	5.1k 1.9×	2.3k 0.9×	967 0.9×	1.5k 2.3×	613 1.1×	93	8.8k
Min Shen United States	42	3.8k 1.4×	1.5k 0.6×	1.1k 1.1×	806 1.2×	260 0.5×	162	7.2k
Rashmi Kumari India	9	2.1k 0.8×	1.1k 0.4×	458 0.4×	736 1.1×	352 0.6×	40	4.1k
Huiyong Sun China	40	5.1k 1.9×	2.8k 1.1×	706 0.7×	1.0k 1.5×	559 1.0×	108	7.7k
Craig Knox Canada	17	6.3k 2.3×	3.3k 1.3×	355 0.3×	448 0.7×	734 1.4×	20	9.9k
Qingliang Li China	22	4.2k 1.5×	3.0k 1.2×	377 0.4×	635 0.9×	798 1.5×	53	8.5k
An Chi Guo Canada	21	5.2k 1.9×	2.2k 0.9×	325 0.3×	263 0.4×	472 0.9×	39	7.8k

Countries citing papers authored by Yadi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yadi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yadi Zhou. A scholar is included among the top collaborators of Yadi Zhou 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 Yadi Zhou. Yadi Zhou 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

Cummings, Jeffrey L., Yadi Zhou, Alexandra Stone, et al.. (2025). Drug repurposing for Alzheimer’s disease and other neurodegenerative disorders. Nature Communications. 16(1). 1755–1755. 10 indexed citations

Cheng, Feixiong, Fei Wang, Jian Tang, et al.. (2024). Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer’s disease. Cell Reports Medicine. 5(2). 101379–101379. 23 indexed citations

Qiu, Yunguang, et al.. (2024). Systematic characterization of multi-omics landscape between gut microbial metabolites and GPCRome in Alzheimer’s disease. Cell Reports. 43(5). 114128–114128. 14 indexed citations

Xu, Bo, Yadi Zhou, Lars G. Svensson, et al.. (2023). Abstract 12374: Machine Learning-Based Evaluation of Elevated Left Ventricular End-Diastolic Pressure. Circulation. 148(Suppl_1). 1 indexed citations

Hou, Yuan, Yadi Zhou, Lara Jehi, et al.. (2022). Aging‐related cell type‐specific pathophysiologic immune responses that exacerbate disease severity in aged COVID‐19 patients. Aging Cell. 21(2). e13544–e13544. 10 indexed citations

Zhou, Yadi, et al.. (2022). PlantNexus: A Gene Co-expression Network Database and Visualization Tool for Barley and Sorghum. Plant and Cell Physiology. 63(4). 565–572. 11 indexed citations

Zhou, Yadi, Jiansong Fang, Lynn M. Bekris, et al.. (2021). AlzGPS: a genome-wide positioning systems platform to catalyze multi-omics for Alzheimer’s drug discovery. Alzheimer s Research & Therapy. 13(1). 56 indexed citations

Hou, Yuan, Yadi Zhou, Muzna Hussain, et al.. (2021). Cardiac risk stratification in cancer patients: A longitudinal patient–patient network analysis. PLoS Medicine. 18(8). e1003736–e1003736. 20 indexed citations

Xu, Jielin, Pengyue Zhang, Yin Huang, et al.. (2021). Multimodal single-cell/nucleus RNA sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer's disease. Genome Research. 31(10). 1900–1912. 61 indexed citations

10.

Shen, Jiayu, Yuan Hou, Yadi Zhou, et al.. (2021). The Epidemiological and Mechanistic Understanding of the Neurological Manifestations of COVID-19: A Comprehensive Meta-Analysis and a Network Medicine Observation. Frontiers in Neuroscience. 15. 606926–606926. 2 indexed citations

11.

Liu, Chuang, Junfei Zhao, Weiqiang Lü, et al.. (2020). Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6,700 cancer genomes. PLoS Computational Biology. 16(2). e1007701–e1007701. 38 indexed citations

12.

Zhou, Yadi, Fei Wang, Jian Tang, Ruth Nussinov, & Feixiong Cheng. (2020). Artificial intelligence in COVID-19 drug repurposing.

13.

Zhou, Yadi, Yuan Hou, Muzna Hussain, et al.. (2020). Machine Learning–Based Risk Assessment for Cancer Therapy–Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients. Journal of the American Heart Association. 9(23). e019628–e019628. 57 indexed citations

14.

Zeng, Xiangxiang, Xiang Song, Tengfei Ma, et al.. (2020). Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning. Journal of Proteome Research. 19(11). 4624–4636. 169 indexed citations

15.

Zhou, Yadi, Yuan Hou, Jiayu Shen, et al.. (2020). Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2. Cell Discovery. 6(1). 14–14. 1128 indexed citations breakdown →

16.

Zhou, Yadi, Yuan Hou, Jiayu Shen, et al.. (2020). A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19. PLoS Biology. 18(11). e3000970–e3000970. 132 indexed citations

17.

Xu, Weiling, Suzy Comhair, Bo Hu, et al.. (2019). Integrative proteomics and phosphoproteomics in pulmonary arterial hypertension. Scientific Reports. 9(1). 18623–18623. 54 indexed citations

18.

Zeng, Xiangxiang, Siyi Zhu, Weiqiang Lü, et al.. (2019). Target Identification Among Known Drugs by Deep Learning from Heterogeneous Networks. SSRN Electronic Journal. 2 indexed citations

19.

Cheng, Feixiong, Weihua Li, Yadi Zhou, et al.. (2013). Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs). Molecular BioSystems. 9(6). 1316–1325. 25 indexed citations

20.

Cheng, Feixiong, Yadi Zhou, Jie Li, et al.. (2012). Prediction of chemical–protein interactions: multitarget-QSAR versus computational chemogenomic methods. Molecular BioSystems. 8(9). 2373–2384. 93 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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