Daifeng Wang

14.2k citations

58 papers · 945 indexed · h-index 18

Impact in

Molecular Biology
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
Genetics
- Genetics and Neurodevelopmental Disorders

Papers in ⓘ

Molecular Biology 44
- Bioinformatics and Genomic Networks 19
- Single-cell and spatial transcriptomics 15
- Gene expression and cancer classification 11
- Gene Regulatory Network Analysis 10
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 3
Aging 1

Co-authors: Nam D. Nguyen (5 shared papers)Mark Gerstein (14 shared papers)Joel Rozowsky (5 shared papers)Ting Jin (7 shared papers)Paul Muir (2 shared papers)Shantao Li (1 shared paper)George M. Weinstock (1 shared paper)Daniel Spakowicz (1 shared paper)
Journals: PLoS Computational Biology (4 papers)Bioinformatics (3 papers)Genome biology (3 papers)Genome Medicine (3 papers)Cell Reports (2 papers)
Partner nations: United States China Singapore

In The Last Decade

Daifeng Wang

56 papers receiving 939 citations

Peers

Countries citing papers authored by Daifeng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Daifeng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daifeng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daifeng Wang Line = papers co-authored together Daifeng Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	The real cost of sequencing: scaling computation to keep pace with data generation Genome biology ·Paul Muir, Shantao Li, Shaoke Lou, Daifeng Wang, Daniel Spakowicz, Leonidas Salichos, Jing Zhang, George M. Weinstock, Farren J. Isaacs, Joel Rozowsky, Mark Gerstein	2016	211
2	Multiview learning for understanding functional multiomics PLoS Computational Biology ·Nam D. Nguyen, Daifeng Wang	2020	65
3	Comparative analysis of pseudogenes across three phyla Proceedings of the National Academy of Sciences ·Cristina Sisu, Baikang Pei, Jing Leng, Adam Frankish, Yan Zhang, Suganthi Balasubramanian, Rachel Harte, Daifeng Wang, Michael Rutenberg-Schoenberg, Wyatt T. Clark, Mark Diekhans, Joel Rozowsky, Tim Hubbard, Jennifer Harrow, Mark Gerstein	2014	53
4	OrthoClust: an orthology-based network framework for clustering data across multiple species Genome biology ·Koon‐Kiu Yan, Daifeng Wang, Joel Rozowsky, Henry Zheng, Chao Cheng, Mark Gerstein	2014	32
5	A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data Nature Computational Science ·Nam D. Nguyen, Jiawei Huang, Daifeng Wang	2022	29
6	Joint variational autoencoders for multimodal imputation and embedding Nature Machine Intelligence ·Noah Cohen Kalafut, Xiang Huang, Daifeng Wang	2023	29
7	Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases Journal of Neurodevelopmental Disorders ·Chirag Gupta, Pramod Bharadwaj Chandrashekar, Ting Jin, Chenfeng He, Saniya Khullar, Qiang Chang, Daifeng Wang	2022	27
8	RGS6 Mediates Effects of Voluntary Running on Adult Hippocampal Neurogenesis Cell Reports ·Yu Gao, Minjie Shen, Jose Gonzalez, Qiping Dong, Sudharsan Kannan, Johnson T. Hoang, Brian E. Eisinger, Jyotsna Pandey, Sahar Javadi, Qiang Chang, Daifeng Wang, Linda Overstreet‐Wadiche, Xinyu Zhao	2020	24
9	scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks Genome Medicine ·Ting Jin, Peter Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panagiotis Roussos, Daifeng Wang	2021	24
10	FXR1 regulation of parvalbumin interneurons in the prefrontal cortex is critical for schizophrenia-like behaviors Molecular Psychiatry ·Minjie Shen, Yu Guo, Qiping Dong, Yu Gao, Michael E. Stockton, Meng Li, Sudharsan Kannan, Tomer Korabelnikov, Keegan A. Schoeller, Carissa L. Sirois, Chen Zhou, Jonathan Le, Daifeng Wang, Qiang Chang, Qian‐Quan Sun, Xinyu Zhao	2021	23
11	Large‐scale atlas of microarray data reveals the distinct expression landscape of different tissues in Arabidopsis The Plant Journal ·Fei He, Shinjae Yoo, Daifeng Wang, Sunita Kumari, Mark Gerstein, Doreen Ware, Sergei Maslov	2016	23
12	ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages Bioinformatics ·Ting Jin, Nam D. Nguyen, Flaminia Talos, Daifeng Wang	2020	22
13	An approach for determining and measuring network hierarchy applied to comparing the phosphorylome and the regulome Genome Biology ·Chao Cheng, Erik Andrews, Koon‐Kiu Yan, Matthew Ung, Daifeng Wang, Mark Gerstein	2015	21
14	ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks BMC Genomics ·Nam D. Nguyen, Ian K. Blaby, Daifeng Wang	2019	20
15	Optimal Power Generation Scheduling of a Shipboard Power System Texas ScholarWorks (Texas Digital Library) ·Wei Wu, Daifeng Wang, Ari Arapostathis, K.R. Davey	2007	19
16	Altered patterning of trisomy 21 interneuron progenitors Stem Cell Reports ·Yathindar Giffin-Rao, Jie Sheng, Bennett Strand, Ke Xu, Leslie Huang, Margaret Medo, Kirstin A. Risgaard, Samuel Dantinne, Sruti Mohan, Aratrika Keshan, Roger A. Daley, Bradley Levesque, Lindsey Amundson, Rebecca Reese, André M. M. Sousa, Yunlong Tao, Daifeng Wang, Su‐Chun Zhang, Anita Bhattacharyya	2022	18
17	Chemically induced senescence in human stem cell‐derived neurons promotes phenotypic presentation of neurodegeneration Aging Cell ·Ali Fathi, Sakthikumar Mathivanan, Linghai Kong, Andrew J. Petersen, Cole R. K. Harder, Jasper Block, Julia M. Miller, Anita Bhattacharyya, Daifeng Wang, Su‐Chun Zhang	2021	17
18	Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors PLoS Computational Biology ·Daifeng Wang, Koon‐Kiu Yan, Cristina Sisu, Chao Cheng, Joel Rozowsky, Matthew Meyerson, Mark Gerstein	2015	17
19	Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease PLoS Computational Biology ·Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang	2022	16
20	Elevated levels of FMRP-target MAP1B impair human and mouse neuronal development and mouse social behaviors via autophagy pathway Nature Communications ·Yu Guo, Minjie Shen, Qiping Dong, Natasha M. Méndez-Albelo, Sabrina X. Huang, Carissa L. Sirois, Jonathan Le, Meng Li, Ezra D. Jarzembowski, Keegan A. Schoeller, Michael E. Stockton, Vanessa L. Horner, André M. M. Sousa, Yu Gao, Ian A. Glass, Dan Doherty, Jon E. Levine, Daifeng Wang, Qiang Chang, Xinyu Zhao	2023	16

About Daifeng Wang

Daifeng Wang is a scholar working on Molecular Biology, Aging, Developmental Neuroscience, Cancer Research and Neurology, having authored 58 papers that have together received 945 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Single-cell and spatial transcriptomics (15 papers), Gene expression and cancer classification (11 papers), Gene Regulatory Network Analysis (10 papers), Genetics and Neurodevelopmental Disorders (7 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Molecular Biology (585 citations), Genetics (173 citations), Cancer Research (80 citations), Aging (9 citations) and Health Informatics (6 citations). Daifeng Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Nam D. Nguyen, Mark Gerstein, Joel Rozowsky, Ting Jin, Paul Muir, Shantao Li, George M. Weinstock, Daniel Spakowicz, Shaoke Lou and Leonidas Salichos. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, Genome biology, Genome Medicine and Cell Reports.

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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