Jiongming Ma

923 total citations
9 papers, 495 citations indexed

About

Jiongming Ma is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Jiongming Ma has authored 9 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 0 papers in Infectious Diseases. Recurrent topics in Jiongming Ma's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and RNA and protein synthesis mechanisms (5 papers). Jiongming Ma is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and RNA and protein synthesis mechanisms (5 papers). Jiongming Ma collaborates with scholars based in United Kingdom and China. Jiongming Ma's co-authors include Kunqi Chen, Daniel J. Rigden, Jia Meng, Bowen Song, Zhen Wei, João Pedro de Magalhães, Jionglong Su, Yuxin Zhang, Zhi-Liang Lu and Gang Liu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Carcinogenesis.

In The Last Decade

Jiongming Ma

8 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiongming Ma United Kingdom 6 483 272 37 32 21 9 495
Qingru Xu China 4 320 0.7× 187 0.7× 32 0.9× 27 0.8× 14 0.7× 6 329
Serena Di Cecilia United States 4 441 0.9× 331 1.2× 43 1.2× 33 1.0× 20 1.0× 4 495
Xiangcui Guo China 5 287 0.6× 192 0.7× 39 1.1× 29 0.9× 19 0.9× 8 336
Zhi‐Man Zhu China 9 322 0.7× 178 0.7× 27 0.7× 48 1.5× 14 0.7× 14 338
Huaixiang Zhou China 8 322 0.7× 239 0.9× 29 0.8× 55 1.7× 13 0.6× 12 380
Natalie Webster United Kingdom 5 374 0.8× 246 0.9× 7 0.2× 32 1.0× 12 0.6× 6 407
Biao Que China 6 378 0.8× 237 0.9× 63 1.7× 33 1.0× 32 1.5× 6 408
Guandi Wu China 7 301 0.6× 186 0.7× 9 0.2× 35 1.1× 22 1.0× 13 354
You-Cai Yi China 6 380 0.8× 281 1.0× 36 1.0× 22 0.7× 21 1.0× 6 401
Weijia Zhang China 4 405 0.8× 197 0.7× 41 1.1× 16 0.5× 14 0.7× 6 426

Countries citing papers authored by Jiongming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jiongming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiongming Ma

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

All Works

9 of 9 papers shown
1.
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.
2.
Xia, Rong, Jiaming Huang, Kunqi Chen, et al.. (2024). Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types. Molecular Therapy — Nucleic Acids. 35(4). 102376–102376. 3 indexed citations
3.
Ma, Jiongming, Yuanyuan Wang, Siying Liu, et al.. (2024). Hepatitis B Virus X Protein Contributes to Hepatocellular Carcinoma via Upregulation of KIAA1429 Methyltransferase and mRNA m6A Hypermethylation of HSPG2/Perlecan. Molecular Carcinogenesis. 64(1). 108–125. 2 indexed citations
4.
Wang, Xuan, Yuxin Zhang, Kunqi Chen, et al.. (2023). m7GHub V2.0: an updated database for decoding the N7-methylguanosine (m7G) epitranscriptome. Nucleic Acids Research. 52(D1). D203–D212. 31 indexed citations
5.
Ma, Jiongming, Zhen Wei, Yue Wang, et al.. (2023). m6A-Atlas v2.0: updated resources for unraveling the N6-methyladenosine (m6A) epitranscriptome among multiple species. Nucleic Acids Research. 52(D1). D194–D202. 39 indexed citations
6.
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
7.
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
8.
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
9.
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

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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