Wei Shi

97.2k citations

94 papers · 51.3k indexed · 5 hit papers · h-index 39

Impact in

Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Immunology top 0.05%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology

Papers in

Immunology 34
- Immune Cell Function and Interaction 27
- T-cell and B-cell Immunology 23
- Immunotherapy and Immune Responses 8
Hematology 9

Co-authors: Gordon K. Smyth Yang Liao Charity W. Law Matthew E. Ritchie Belinda Phipson Yifang HuDi WuYunshun Chen
Journals: Nucleic Acids Research (8 papers)Cell Reports (6 papers)Nature Immunology (6 papers)Blood (5 papers)Nature Communications (3 papers)
Partner nations: Australia United States China

In The Last Decade

Wei Shi

92 papers receiving 51.1k citations

Hit Papers

5 papers align trajectories log scale

The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads 2019 · 1.6k 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.

2019 Nucleic Acids Research
2015 Nucleic Acids Research
2014 Genome biology
2013 Bioinformatics
2013 Nucleic Acids Research

Peers

Countries citing papers authored by Wei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Wei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	ARMC5 controls the degradation of most Pol II subunits, and ARMC5 mutation increases neural tube defect risks in mice and humans Genome biology ·Hongyu Luo, J. Bohnsack, Kit Sing Au, Hope Northrup, Xiao He, Diane Forget, Marie‐Soleil Gauthier, Benoit Coulombe, Isabelle Bourdeau, Wei Shi, Lucia Gagliardi, Maria Candida Barisson Villares Fragoso, Junzheng Peng, Jiangping Wu	2024	6
2	Integrated systems immunology approach identifies impaired effector T cell memory responses as a feature of progression to severe dengue fever Journal of Biomedical Science ·Lisa J. Ioannidis, Antonios Georgantas, Emily M. Eriksson, Suhendro Suwarto, WangShangfu Zhang, Yang Liao, Wei Shi, Alexandra L. Garnham, R. Tedjo Sasmono, Diana S. Hansen	2023	4
3	Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR Nucleic Acids Research ·Pedro L. Baldoni, Yunshun Chen, Soroor Hediyeh-zadeh, Yang Liao, Xueyi Dong, Matthew E. Ritchie, Wei Shi, Gordon K. Smyth	2023	10
4	CD137L and CD4 T cells limit BCL6‐expressing pre‐germinal center B cell expansion and BCL6‐driven B cell malignancy Immunology and Cell Biology ·Zhoujie Ding, Isaak Quast, Feng Yan, Yang Liao, Catherine Pitt, Kristy O’Donnell, Marcus J Robinson, Wei Shi, Axel Kallies, Dimitra Zotos, David M. Tarlinton	2022	1
5	ARMC5 is part of an RPB1-specific ubiquitin ligase implicated in adrenal hyperplasia Nucleic Acids Research ·J. Bohnsack, Isabelle Bourdeau, Lucia Gagliardi, Xiao He, Wei Shi, Bingbing Hao, Minjia Tan, Yan Hu, Junzheng Peng, Benoit Coulombe, David J. Torpy, Hamish S. Scott, André Lacroix, Hongyu Luo, Jiangping Wu	2022	20
6	IL-36G promotes cancer-cell intrinsic hallmarks in human gastric cancer cells Cytokine ·Hirotaka Iwakawa, Ian Y. Luk, David Chisanga, Wei Shi, Chris Elgood, Glen M. Scholz, John M. Mariadason, Matthias Ernst, Jennifer Huynh	2022	9
7	Host IL11 Signaling Suppresses CD4+ T cell–Mediated Antitumor Responses to Colon Cancer in Mice Cancer Immunology Research ·Jennifer Huynh, 間裕美子, David Chisanga, Wei Shi, Megan A. O’Brien, Shoukat Afshar‐Sterle, Sinthwisuth Sutheechai, Chris Elgood, David S. Williams, Adam Parslow, Park Youngsook, Moritz F. Eissmann, Louis Boon, Frédérick Masson, Ashwini L. Chand, Matthias Ernst	2021	29
8	Read trimming is not required for mapping and quantification of RNA-seq reads at the gene level NAR Genomics and Bioinformatics ·Yang Liao, Wei Shi	2020	26
9	Association of IL-17 and IL-23 Gene Variants with Plasma Levels and Risk of Vulvovaginal Candidiasis in a Chinese Han Population SHILAP Revista de lepidopterología ·Wei Li, Wei Shi, Yulong Yin, Jianjun Chen, Nicola Gabrielle Ho	2020	3
10	Integrated Development Frameworks Based on Linked Data for Web- Based Interactive Educational Materials Andi Andri, 雅久堤, Wei Shi, Kosuke Kaneko, De Luccie Mf, Yoshihiro Okada, Ranjan Bose	2020	1
11	Early precursor T cells establish and propagate T cell exhaustion in chronic infection Nature Immunology ·Daniel T. Utzschneider, Sarah S. Gabriel, David Chisanga, Renee Gloury, Patrick M. Gubser, Ajithkumar Vasanthakumar, Wei Shi, Axel Kallies	2020	169
12	The transcription factor IRF4 represses proapoptotic BMF and BIM to licence multiple myeloma survival Leukemia ·Pasquale L. Fedele, Yang Liao, Jianan Gong, Yuan Yao, Mark F. van Delft, Michael Löw, Lin Tai, Marco J. Herold, Jacob T. Jackson, Charis E. Teh, Tania Tan, Lorraine A. O’Reilly, Julie Tellier, George Grigoriadis, David C.S. Huang, Wei Shi, Stephen L. Nutt, Simon N. Willis	2020	21
13	A novel emulsion PCR method coupled with fluorescence spectrophotometry for simultaneous qualitative, quantitative and high-throughput detection of multiple DNA targets Scientific Reports ·A.Goodman Levy, Xiao Zhao, MPd . A.A.Istri Rai Sudiatmika, Yan Xu, Wei Shi, Fangfang Ren, Yangyang Wu, 高成城, Yerkebulan Bossatbekov, Qí Zhāng, Xiaoxia Zhang, Wanjing Zhang, 龍澤田, Maria Victoria Cortes, حمیده طبسیان, Soji OBA	2019	4
14	The NUP98-HOXD13 fusion oncogene induces thymocyte self-renewal via Lmo2/Lyl1 Leukemia ·Benjamin J. Shields, Christopher Slape, Kenji Urayama, Jacob T. Jackson, Mohammed M. Alenazi, Enkeleda Fejzulla Pano, Wei Shi, David J. Curtis, Matthew P. McCormack	2019	12
15	Chimeric antigen receptor T cells form nonclassical and potent immune synapses driving rapid cytotoxicity Proceedings of the National Academy of Sciences ·Alexander J. Davenport, Ryan Cross, Katherine A. Watson, Yi‐Han Liao, Wei Shi, H. Miles Prince, Paul A. Beavis, Joseph A. Trapani, Michael H. Kershaw, David Ritchie, Phillip K. Darcy, Paul J. Neeson, Misty R. Jenkins	2018	244
16	A molecular threshold for effector CD8+ T cell differentiation controlled by transcription factors Blimp-1 and T-bet Nature Immunology ·Annie Xin, Frédérick Masson, Yang Liao, Simon Preston, Tianxia Guan, Renee Gloury, Moshe Olshansky, Arthur Marques Alcaraz, Peng Li, Terence P. Speed, Gordon K. Smyth, Matthias Ernst, Warren J. Leonard, Marc Pellegrini, Susan M. Kaech, Stephen L. Nutt, Wei Shi, Gabrielle T. Belz, Axel Kallies	2016	126
17	voom: precision weights unlock linear model analysis tools for RNA-seq read counts Genome biology ·Charity W. Law, Yunshun Chen, Wei Shi, Gordon K. Smyth Hit paper breakdown →	2014	3625
18	featureCounts: an efficient general purpose program for assigning sequence reads to genomic features Bioinformatics ·Yang Liao, Gordon K. Smyth, Wei Shi Hit paper breakdown →	2013	15434
19	Sequences and infectious clones of tomato aspermy virus strain isolated from Beijing. Journal of Pharmaceutical and Biomedical Sciences ·Wei Shi, Bofan Guan, Haifeng Zhang, Ting Wang, Jishuang Chen, Qiansheng Liao	2011	1
20	The transcription factors Blimp-1 and IRF4 jointly control the differentiation and function of effector regulatory T cells Nature Immunology ·Erika Cretney, Annie Xin, Wei Shi, Martina Minnich, Frédérick Masson, Maria Miasari, Gabrielle T. Belz, Gordon K. Smyth, Meinrad Busslinger, Stephen L. Nutt, Axel Kallies	2011	473

About Wei Shi

Wei Shi is a scholar working on Immunology, Hematology, Cancer Research, Oncology and Molecular Biology, having authored 94 papers that have together received 51.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (23 papers), Molecular Biology Techniques and Applications (12 papers), CAR-T cell therapy research (11 papers), Gene expression and cancer classification (10 papers), Genomics and Phylogenetic Studies (9 papers), Immunotherapy and Immune Responses (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (9.2k citations), Immunology (10.1k citations), Molecular Biology (29.5k citations), Aging (576 citations) and Oncology (6.2k citations). Wei Shi has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Gordon K. Smyth, Yang Liao, Charity W. Law, Matthew E. Ritchie, Belinda Phipson, Yifang Hu, Di Wu, Yunshun Chen, Axel Kallies and Stephen L. Nutt. Their work appears in journals such as Nucleic Acids Research, Cell Reports, Nature Immunology, Blood and Nature Communications.

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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