Kunqi Chen

2.3k total citations
51 papers, 1.5k citations indexed

About

Kunqi Chen is a scholar working on Molecular Biology, Cancer Research and Computer Networks and Communications. According to data from OpenAlex, Kunqi Chen has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 31 papers in Cancer Research and 5 papers in Computer Networks and Communications. Recurrent topics in Kunqi Chen's work include RNA modifications and cancer (39 papers), Cancer-related molecular mechanisms research (31 papers) and RNA and protein synthesis mechanisms (22 papers). Kunqi Chen is often cited by papers focused on RNA modifications and cancer (39 papers), Cancer-related molecular mechanisms research (31 papers) and RNA and protein synthesis mechanisms (22 papers). Kunqi Chen collaborates with scholars based in China, United Kingdom and United States. Kunqi Chen's co-authors include Jia Meng, Zhen Wei, Bowen Song, Daniel J. Rigden, Jionglong Su, João Pedro de Magalhães, Yujiao Tang, Zhi-Liang Lu, Rong Rong and Jiongming Ma and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Kunqi Chen

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunqi Chen China 20 1.4k 752 127 93 48 51 1.5k
Chunlong Zhang China 16 595 0.4× 278 0.4× 28 0.2× 52 0.6× 18 0.4× 55 735
Jingzi Wang China 16 1.3k 0.9× 981 1.3× 38 0.3× 92 1.0× 81 1.7× 30 1.5k
Yansheng Wu China 16 578 0.4× 536 0.7× 248 2.0× 82 0.9× 75 1.6× 75 1.2k
Zheyu Song China 7 454 0.3× 297 0.4× 43 0.3× 162 1.7× 104 2.2× 21 810
Nan Sheng China 15 375 0.3× 302 0.4× 20 0.2× 49 0.5× 19 0.4× 68 616
Zhengle Zhang China 13 303 0.2× 204 0.3× 22 0.2× 238 2.6× 35 0.7× 29 698
Hao Lin China 13 539 0.4× 200 0.3× 30 0.2× 56 0.6× 11 0.2× 35 793
Hanfeng Wang China 12 184 0.1× 125 0.2× 72 0.6× 43 0.5× 36 0.8× 31 385
Chunguang Ma China 12 327 0.2× 219 0.3× 13 0.1× 81 0.9× 78 1.6× 28 640
Sudhakar Sahoo United Kingdom 11 395 0.3× 245 0.3× 14 0.1× 228 2.5× 32 0.7× 36 698

Countries citing papers authored by Kunqi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kunqi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunqi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kunqi Chen. A scholar is included among the top collaborators of Kunqi Chen 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 Kunqi Chen. Kunqi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Yifan, Jian Zhang, Xinyue Gao, et al.. (2025). Toosendanin-induced liver damage through irreparable DNA damage and autophagy flow blockade. Phytomedicine. 140. 156586–156586. 1 indexed citations
2.
Ran, Zhiguang, Min Mu, Shaofeng Lin, et al.. (2025). Deciphering the MHC immunopeptidome of human cancers with Ligand.MHC atlas. Briefings in Bioinformatics. 26(4). 2 indexed citations
3.
Zhang, Yuxin, Jiongming Ma, Guifang Jia, et al.. (2025). DirectRM: integrated detection of landscape and crosstalk between multiple RNA modifications using direct RNA sequencing. Nature Communications. 16(1). 9450–9450.
4.
Huang, Jiaming, Xuan Wang, Rong Xia, et al.. (2024). Domain-knowledge enabled ensemble learning of 5-formylcytosine (f5C) modification sites. Computational and Structural Biotechnology Journal. 23. 3175–3185. 2 indexed citations
5.
Xu, Xiaoxin, et al.. (2024). m6A modification of VEGFA mRNA by RBM15/YTHDF2/IGF2BP3 contributes to angiogenesis of hepatocellular carcinoma. Molecular Carcinogenesis. 63(11). 2174–2189. 11 indexed citations
6.
Zhang, Jian, Mengting Chen, Xinyue Gao, et al.. (2024). Gelsenicine disrupted the intestinal barrier of Caenorhabditis elegans. Chemico-Biological Interactions. 395. 111036–111036. 7 indexed citations
7.
Chen, Kunqi, et al.. (2023). Pseudouridine Identification and Functional Annotation with PIANO. Methods in molecular biology. 2624. 153–162. 2 indexed citations
8.
Song, Bowen, Daiyun Huang, Yuxin Zhang, et al.. (2022). m6A-TSHub: Unveiling the Context-Specific m 6 A Methylation and m 6 A-Affecting Mutations in 23 Human Tissues. Genomics Proteomics & Bioinformatics. 21(4). 678–694. 29 indexed citations
9.
Huang, Daiyun, Kunqi Chen, Bowen Song, et al.. (2022). Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation. Nucleic Acids Research. 50(18). 10290–10310. 26 indexed citations
10.
Song, Bowen, Xuan Wang, Jiongming Ma, et al.. (2022). RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication. Nucleic Acids Research. 51(D1). D1388–D1396. 49 indexed citations
11.
Zhang, Yuxin, Jiongming Ma, Zhen Wei, et al.. (2022). DirectRMDB: a database of post-transcriptional RNA modifications unveiled from direct RNA sequencing technology. Nucleic Acids Research. 51(D1). D106–D116. 64 indexed citations
12.
Ma, Jiongming, Bowen Song, Zhen Wei, et al.. (2021). m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome. Nucleic Acids Research. 50(D1). D196–D203. 83 indexed citations
13.
Huang, Daiyun, Bowen Song, Kunqi Chen, et al.. (2021). Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications. Nature Communications. 12(1). 4011–4011. 89 indexed citations
14.
Song, Bowen, Yujiao Tang, Kunqi Chen, et al.. (2020). m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human. Bioinformatics. 36(11). 3528–3536. 99 indexed citations
15.
Chen, Kunqi, Bowen Song, Yujiao Tang, et al.. (2020). RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis. Nucleic Acids Research. 49(D1). D1396–D1404. 76 indexed citations
16.
Wang, Yue, Kunqi Chen, Zhen Wei, et al.. (2020). MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis. Bioinformatics. 37(9). 1285–1291. 16 indexed citations
17.
Tang, Yujiao, Kunqi Chen, Bowen Song, et al.. (2020). m6A-Atlas: a comprehensive knowledgebase for unraveling theN6-methyladenosine (m6A) epitranscriptome. Nucleic Acids Research. 49(D1). D134–D143. 224 indexed citations
18.
Song, Bowen, Yujiao Tang, Zhen Wei, et al.. (2020). PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation. Frontiers in Genetics. 11. 88–88. 32 indexed citations
19.
Chen, Kunqi, Zhen Wei, Qing Zhang, et al.. (2019). WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach. Nucleic Acids Research. 47(7). e41–e41. 181 indexed citations
20.
Chen, Kunqi, Zhen Wei, Hui Liu, et al.. (2018). Enhancing Epitranscriptome Module Detection from m6A-Seq Data Using Threshold-Based Measurement Weighting Strategy. BioMed Research International. 2018. 1–15. 7 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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