Wei Chen

26.0k citations

478 papers · 18.3k · 4 hit papers · h-index 71

Impact in

Molecular Biology top 0.1%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- vaccines and immunoinformatics approaches
- Protein Structure and Dynamics
Cancer Research top 0.5%
- Cancer-related molecular mechanisms research

Papers in

Molecular Biology 309
- Machine Learning in Bioinformatics 109
- RNA and protein synthesis mechanisms 106
- Genomics and Phylogenetic Studies 104
- RNA modifications and cancer 41
- RNA Research and Splicing 17
Plant Science 51
- Plant Molecular Biology Research 16

Co-authors: Hao Lin (101 shared papers)Kuo‐Chen Chou (23 shared papers)Hui Ding (49 shared papers)Pengmian Feng (46 shared papers)Hua Tang (25 shared papers)Hui Yang (15 shared papers)En-Ze Deng (10 shared papers)Hao Lv (12 shared papers)
Journals: Bioinformatics (14 papers)Scientific Reports (14 papers)Molecular Therapy — Nucleic Acids (11 papers)Briefings in Bioinformatics (9 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (8 papers)
Partner nations: China United States Türkiye

In The Last Decade

Wei Chen

450 papers receiving 18.1k citations

Wei Chen's Hit Papers

align trajectories log scale

Artificial intelligence for drug discovery: Resources, methods, and applications 2023 · 141 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.

2023 Molecular Therapy — Nucleic Acids
2014 Nucleic Acids Research
2013 Nucleic Acids Research
2005 Developmental Cell

Peers

Countries citing papers authored by Wei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Wei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Chen, 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 Chen Line = papers co-authored together Wei Chen 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 478 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition Nucleic Acids Research ·Wei Chen, Pengmian Feng, Hao Lin, Kuo‐Chen Chou Hit paper breakdown →	2013	569
2	Formation of MacroH2A-Containing Senescence-Associated Heterochromatin Foci and Senescence Driven by ASF1a and HIRA Developmental Cell ·Rugang Zhang, Maxim Poustovoitov, Xiaofen Ye, Hidelita Santos, Wei Chen, Sally M. Daganzo, Jan P. Erzberger, Ilya G. Serebriiskii, Adrian A. Canutescu, Roland L. Dunbrack, John R. Pehrson, James M. Berger, Paul D. Kaufman, Peter D. Adams Hit paper breakdown →	2005	532
3	iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition Nucleic Acids Research ·Hao Lin, En-Ze Deng, Hui Ding, Wei Chen, Kuo‐Chen Chou Hit paper breakdown →	2014	467
4	iACP: a sequence-based tool for identifying anticancer peptides Oncotarget ·Wei Chen, Hui Ding, Pengmian Feng, Hao Lin, Kuo‐Chen Chou	2016	385
5	PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition Analytical Biochemistry ·Wei Chen, Tianyu Lei, Dianchuan Jin, Hao Lin, Kuo‐Chen Chou	2014	383
6	iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition Bioinformatics ·Shou-Hui Guo, En-Ze Deng, Liqin Xu, Hui Ding, Hao Lin, Wei Chen, Kuo‐Chen Chou	2014	333
7	iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition Analytical Biochemistry ·Wei Chen, Pengmian Feng, Hui Ding, Hao Lin, Kuo‐Chen Chou	2015	316
8	Molecular Dissection of Formation of Senescence-Associated Heterochromatin Foci Molecular and Cellular Biology ·Rugang Zhang, Wei Chen, Peter D. Adams	2007	313
9	A Redox-Dependent Pathway for Regulating Class II HDACs and Cardiac Hypertrophy Cell ·Tetsuro Ago, Tong Liu, Peiyong Zhai, Wei Chen, Hong Li, Jeffery D. Molkentin, Stephen F. Vatner, Junichi Sadoshima	2008	299
10	Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences Molecular BioSystems ·Wei Chen, Hao Lin, Kuo‐Chen Chou	2015	280
11	iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition Analytical Biochemistry ·Pengmian Feng, Wei Chen, Hao Lin, Kuo‐Chen Chou	2013	272
12	iRNA-PseU: Identifying RNA pseudouridine sites Molecular Therapy — Nucleic Acids ·Wei Chen, Hua Tang, Jing Ye, Hao Lin, Kuo‐Chen Chou	2016	265
13	iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC Genomics ·Pengmian Feng, Hui Yang, Hui Ding, Hao Lin, Wei Chen, Kuo‐Chen Chou	2018	263
14	iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC Molecular Therapy — Nucleic Acids ·Pengmian Feng, Hui Ding, Hui Yang, Wei Chen, Hao Lin, Kuo‐Chen Chou	2017	262
15	iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties Bioinformatics ·Wei Chen, Hui Yang, Pengmian Feng, Hui Ding, Hao Lin	2017	249
16	iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC Bioinformatics ·Zhendong Su, Yan Huang, Zhao‐Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen, Kuo‐Chen Chou, Hao Lin	2018	240
17	iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition Analytical Biochemistry ·Wei Chen, Pengmian Feng, En-Ze Deng, Hao Lin, Kuo‐Chen Chou	2014	233
18	iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels BioMed Research International ·Hui Ding, En-Ze Deng, Lufeng Yuan, Li Liu, (unknown), Wei Chen, Kuo‐Chen Chou	2014	209
19	iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences Oncotarget ·Wei Chen, Pengmian Feng, Hui Yang, Hui Ding, Hao Lin, Kuo‐Chen Chou	2016	207
20	PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions Bioinformatics ·Wei Chen, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang, Kuo‐Chen Chou	2014	204

About Wei Chen

Wei Chen is a scholar working on Molecular Biology, Plant Science, Cancer Research, Genetics and Computational Theory and Mathematics, having authored 478 papers that have together received 18.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (109 papers), RNA and protein synthesis mechanisms (106 papers), Genomics and Phylogenetic Studies (104 papers), RNA modifications and cancer (41 papers), Cancer-related molecular mechanisms research (22 papers), RNA Research and Splicing (17 papers), Plant Molecular Biology Research (16 papers) and Computational Drug Discovery Methods (16 papers). The work is most often cited by research in Molecular Biology (14.6k citations), Cancer Research (1.6k citations), Microbiology (652 citations), Computational Theory and Mathematics (1.2k citations) and Aging (96 citations). Wei Chen has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Hao Lin, Kuo‐Chen Chou, Hui Ding, Pengmian Feng, Hua Tang, Hui Yang, En-Ze Deng, Hao Lv, Peter D. Adams and Rugang Zhang. Their work appears in journals such as Bioinformatics, Scientific Reports, Molecular Therapy — Nucleic Acids, Briefings in Bioinformatics and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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Wei Chen's Hit Papers

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About Wei Chen

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