Da Wei Huang

63.7k citations

69 papers · 45.1k indexed · 6 hit papers · h-index 27

Impact in

Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Aging top 0.2%

Papers in

Nuclear Energy and Engineering 1
Virology 6
- HIV Research and Treatment 6

Co-authors: Richard A. Lempicki Brad T. Sherman Robert M. Stephens Michael Baseler H. Clifford Lane David Liu Yongjian Guo David Bryant
Journals: Blood (3 papers)The Journal of Infectious Diseases (3 papers)Journal of Agricultural and Food Chemistry (2 papers)Nucleic Acids Research (2 papers)Cancer Cell (2 papers)
Partner nations: United States China Canada

In The Last Decade

Da Wei Huang

64 papers receiving 44.8k citations

Hit Papers

6 papers align trajectories log scale

Effect of ibrutinib with R-CHOP chemotherapy in genetic subtypes of DLBCL 2021 · 170 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Cancer Cell
2020 Cancer Cell
2012 Bioinformatics
2008 Nature Protocols
2008 Nucleic Acids Research
2007 Nucleic Acids Research

Peers

Countries citing papers authored by Da Wei Huang

Since Specialization

Citations

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

Fields of papers citing papers by Da Wei Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da Wei Huang. 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 Da Wei Huang. The network helps show where Da Wei Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Da Wei Huang, 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 Da Wei Huang Line = papers co-authored together Da Wei Huang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Genetic Subclones Reveal Phenotypic Heterogeneity in Diffuse Large B-Cell Lymphoma Blood ·Boya Wang, George W. Wright, Julius C. Enßle, Yandan Yang, Da Wei Huang, Xin Yu, Arvin Ruiz, James D. Phelan, Arthur L. Shaffer, Thomas Oellerich, Giorgio Inghirami, Louis M. Staudt	2024	0
2	Clinicopathologic feature and treatment progress of high-grade ovarian neuroendocrine tumors Medical Oncology ·Qionghua He, Chenyan Wang, Da Wei Huang, Jiayu Shen, Rui Liu, Yutao Guan, Jianwei Zhou	2024	0
3	Unlocking the Hidden Potential of Cancer Therapy Targeting Lysine Succinylation Journal of Cancer ·Zhuomeng Zheng, Peiyao Xiao, Jiawei Kuang, Zhiyu Wang, Xinyu Wang, Da Wei Huang, Yuxuan Guo, Li Zhou, Yiyuan Yang, Siyu Ding, Chanjuan Zheng, Yian Wang, Shujun Fu, Xiyun Deng	2024	1
4	Gα13 restricts nutrient driven proliferation in mucosal germinal centers Nature Immunology ·Nguyen Thi Thu Hang, Moyi Li, Rahul Vadakath, Keirstin A. Henke, Tam C. Tran, Huifang Li, Maryam Yamadi, Sriranjani Darbha, Yandan Yang, Juraj Kabát, Anne R. Albright, Enoc Granados Centeno, James D. Phelan, Sandrine Roulland, Da Wei Huang, Michael C. Kelly, Ryan M. Young, Stefania Pittaluga, Simone Difilippantonio, Jagan Muppidi	2024	2
5	Drying Kinetics of a Single Biomass Particle Using Fick’s Second Law of Diffusion Processes ·Jianjun Cai, Lingxia Zhu, Qiuxia Wei, Da Wei Huang, Ming Luo, Xingying Tang	2023	15
6	Effect of ibrutinib with R-CHOP chemotherapy in genetic subtypes of DLBCL Cancer Cell ·Wyndham H. Wilson, George W. Wright, Da Wei Huang, Brendan P. Hodkinson, Sriram Balasubramanian, Yue Fan, Jessica Vermeulen, Martin Shreeve, Louis M. Staudt Hit paper breakdown →	2021	170
7	Comparative Population Genomics Analysis of the Mammalian Fungal Pathogen Pneumocystis mBio ·Ousmane H. Cissé, Liang Ma, Da Wei Huang, Pavel P. Khil, John P. Dekker, Geetha Kutty, Lisa Bishop, Yueqin Liu, Xilong Deng, Philippe M. Hauser, Marco Pagni, Vanessa M. Hirsch, Richard A. Lempicki, Jason Stajich, Christina A. Cuomo, Joseph A. Kovacs	2018	22
8	Protective effects of selenium-glutathione-enriched probiotics on CCl4-induced liver fibrosis The Journal of Nutritional Biochemistry ·Yunhuan Liu, Qing Liu, John E. Hesketh, Da Wei Huang, Fang Gan, Shu Hao, Shan Tang, Yanxia Guo, Kehe Huang	2018	48
9	Bacteriophage WO Can Mediate Horizontal Gene Transfer in Endosymbiotic Wolbachia Genomes Frontiers in Microbiology ·Guan-Hong Wang, Bao Sun, Tuan L. Xiong, Yan K. Wang, Kristen E. Murfin, Jin Hua Xiao, Da Wei Huang	2016	20
10	Characterization of chemokine and chemokine receptor expression during Pneumocystis infection in healthy and immunodeficient mice Microbes and Infection ·Lisa R. Bishop, Michail S. Lionakis, Monica Sassi, Philip M. Murphy, Xiaojun Hu, Da Wei Huang, Brad T. Sherman, Ju Qiu, Jun Yang, Richard A. Lempicki, Joseph A. Kovacs	2015	7
11	Influence of Additives to Cement Slurry Rheological Property Applied Mechanics and Materials ·Da Wei Huang, Ren Juan Sun, Shan Wei, Yi Hu, Yuan Yuan Wang, Zhi Ge	2014	3
12	Interleukin-27 Is a Potent Inhibitor of cis HIV-1 Replication in Monocyte-Derived Dendritic Cells via a Type I Interferon-Independent Pathway PLoS ONE ·Cheng Qian, Sanjay Swaminathan, De Yang, Lue Dai, Hongyan Sui, Jun Yang, Ronald L. Hornung, Yanmei Wang, Da Wei Huang, Xiaojun Hu, Richard A. Lempicki, Tomozumi Imamichi	2013	42
13	The HIV-1 envelope protein gp120 impairs B cell proliferation by inducing TGF-β1 production and FcRL4 expression Nature Immunology ·Katija Jelicic, Raffaello Cimbro, Fatima Nawaz, Da Wei Huang, Xin Zheng, Jun Yang, Richard A. Lempicki, Massimiliano Pascuccio, Donald Van Ryk, Catherine Schwing, Joseph Hiatt, Noreen C. Okwara, Danlan Wei, Gregg Roby, Antonio David, II Young Hwang, John H. Kehrl, James Arthos, Claudia Cicala, Anthony S. Fauci	2013	78
14	HIV Infection and Antiretroviral Therapy Have Divergent Effects on Mitochondria in Adipose Tissue The Journal of Infectious Diseases ·Caryn G. Morse, Joachim G. Voss, Goran Rakočević, Mary McLaughlin, Carol L. Vinton, Charles Huber, Xiaojun Hu, Jun Yang, Da Wei Huang, Carolea Logun, Robert L. Danner, Zoila G. Rangel, Peter J. Munson, Jan M. Orenstein, Elisabeth J. Rushing, Richard A. Lempicki, Marinos C. Dalakas, Joseph A. Kovacs	2012	40
15	Interleukin-27 Induces Interferon-Inducible Genes: Analysis of Gene Expression Profiles Using Affymetrix Microarray and DAVID Methods in molecular biology ·Tomozumi Imamichi, Jun Yang, Da Wei Huang, Brad T. Sherman, Richard A. Lempicki	2011	12
16	Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists Nucleic Acids Research ·Da Wei Huang, Brad T. Sherman, Richard A. Lempicki Hit paper breakdown →	2008	11060
17	DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists Nucleic Acids Research ·Da Wei Huang, Brad T. Sherman, Qina Tan, Joseph Kir, David Liu, David Bryant, Yongjian Guo, Robert M. Stephens, Michael Baseler, H. Clifford Lane, Richard A. Lempicki Hit paper breakdown →	2007	1693
18	DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis BMC Bioinformatics ·Brad T. Sherman, Da Wei Huang, Qina Tan, Yongjian Guo, Stephan Bour, David Liu, R. Scott Stephens, Michael Baseler, H. Clifford Lane, Richard A. Lempicki	2007	440
19	DrosophilaHeterochromatin Protein 1 (HP1)/Origin Recognition Complex (ORC) Protein Is Associated with HP1 and ORC and Functions in Heterochromatin-induced Silencing Molecular Biology of the Cell ·Mohammed M. Shareef, Chadwick King, Mona B. Damaj, RamaKrishna Badagu, Da Wei Huang, Rebecca Kellum	2001	110
20	Association of the Origin Recognition Complex with Heterochromatin and HP1 in Higher Eukaryotes Cell ·Daniel T.S. Pak, Michelle Pflumm, Igor Chesnokov, Da Wei Huang, Rebecca Kellum, Jacqueline Marr, Piotr Romanowski, Michael R. Botchan	1997	353

About Da Wei Huang

Da Wei Huang is a scholar working on Nuclear Energy and Engineering, Virology, Genetics, Pathology and Forensic Medicine and Immunology, having authored 69 papers that have together received 45.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), Bioinformatics and Genomic Networks (8 papers), Immune Cell Function and Interaction (7 papers), Concrete and Cement Materials Research (7 papers), Gene expression and cancer classification (7 papers), HIV Research and Treatment (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Cancer Research (8.6k citations), Aging (781 citations), Molecular Biology (28.2k citations), Immunology (5.4k citations) and Genetics (5.7k citations). Da Wei Huang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard A. Lempicki, Brad T. Sherman, Robert M. Stephens, Michael Baseler, H. Clifford Lane, David Liu, Yongjian Guo, David Bryant, Xiaoli Jiao and Rebecca Kellum. Their work appears in journals such as Blood, The Journal of Infectious Diseases, Journal of Agricultural and Food Chemistry, Nucleic Acids Research and Cancer Cell.

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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