Zhangming Yan

1.2k total citations
23 papers, 666 citations indexed

About

Zhangming Yan is a scholar working on Molecular Biology, Cancer Research and Nephrology. According to data from OpenAlex, Zhangming Yan has authored 23 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cancer Research and 1 paper in Nephrology. Recurrent topics in Zhangming Yan's work include RNA Research and Splicing (12 papers), Genomics and Chromatin Dynamics (7 papers) and Cancer-related molecular mechanisms research (6 papers). Zhangming Yan is often cited by papers focused on RNA Research and Splicing (12 papers), Genomics and Chromatin Dynamics (7 papers) and Cancer-related molecular mechanisms research (6 papers). Zhangming Yan collaborates with scholars based in United States and China. Zhangming Yan's co-authors include Sheng Zhong, Zhirong Sun, Ke Liu, Tri C. Nguyen, Zhen Chen, Yuchao Li, Weizhong Chen, Shunian Xiang, Xiaoyi Cao and Yaou Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Zhangming Yan

23 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhangming Yan United States 14 603 328 32 25 22 23 666
Junichi Iwakiri Japan 10 496 0.8× 244 0.7× 49 1.5× 35 1.4× 11 0.5× 20 557
Dror Hollander Israel 9 653 1.1× 168 0.5× 44 1.4× 40 1.6× 16 0.7× 9 719
Ina Huppertz Germany 9 820 1.4× 148 0.5× 37 1.2× 15 0.6× 12 0.5× 11 897
Pawel Grzechnik United Kingdom 12 770 1.3× 119 0.4× 55 1.7× 56 2.2× 27 1.2× 16 820
Maya Donyo Israel 8 395 0.7× 104 0.3× 28 0.9× 36 1.4× 9 0.4× 9 475
Mahdieh Jadaliha United States 6 461 0.8× 285 0.9× 8 0.3× 16 0.6× 14 0.6× 8 506
Juan González‐Vallinas Spain 7 516 0.9× 85 0.3× 38 1.2× 63 2.5× 26 1.2× 8 575
Fabio Pessina Italy 7 689 1.1× 148 0.5× 53 1.7× 28 1.1× 83 3.8× 11 745
Inês Pinheiro Germany 6 429 0.7× 86 0.3× 37 1.2× 86 3.4× 22 1.0× 6 492
Amanda Blythe Australia 5 392 0.7× 105 0.3× 17 0.5× 9 0.4× 7 0.3× 6 426

Countries citing papers authored by Zhangming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zhangming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangming Yan. A scholar is included among the top collaborators of Zhangming Yan 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 Zhangming Yan. Zhangming Yan 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.
Wu, Qiuyang, et al.. (2024). A temporal extracellular transcriptome atlas of human pre-implantation development. Cell Genomics. 4(1). 100464–100464. 4 indexed citations
2.
Calandrelli, Riccardo, Xingzhao Wen, John Lalith Charles Richard, et al.. (2023). Genome-wide analysis of the interplay between chromatin-associated RNA and 3D genome organization in human cells. Nature Communications. 14(1). 6519–6519. 15 indexed citations
3.
Johnson, Kara, Zhijie Qi, Zhangming Yan, et al.. (2021). Revealing protein-protein interactions at the transcriptome scale by sequencing. Molecular Cell. 81(19). 4091–4103.e9. 32 indexed citations
4.
Yan, Zhangming, et al.. (2020). Presymptomatic Increase of an Extracellular RNA in Blood Plasma Associates with the Development of Alzheimer’s Disease. Current Biology. 30(10). 1771–1782.e3. 34 indexed citations
5.
Huang, Norman, Xiaochen Fan, Kathia Zaleta-Rivera, et al.. (2020). Natural display of nuclear-encoded RNA on the cell surface and its impact on cell interaction. Genome biology. 21(1). 225–225. 41 indexed citations
6.
Yan, Zhangming, Norman Huang, Weixin Wu, et al.. (2019). Genome-wide colocalization of RNA–DNA interactions and fusion RNA pairs. Proceedings of the National Academy of Sciences. 116(8). 3328–3337. 45 indexed citations
7.
Wu, Weixin, Zhangming Yan, Tri C. Nguyen, et al.. (2019). Mapping RNA–chromatin interactions by sequencing with iMARGI. Nature Protocols. 14(11). 3243–3272. 33 indexed citations
8.
Chen, Weizhong, Zhangming Yan, Simin Li, et al.. (2018). RNAs as Proximity-Labeling Media for Identifying Nuclear Speckle Positions Relative to the Genome. iScience. 4. 204–215. 28 indexed citations
9.
Cao, Xiaoyi, et al.. (2018). GIVE: portable genome browsers for personal websites. Genome biology. 19(1). 92–92. 12 indexed citations
10.
Zhong, Sheng, Bharat Sridhar, Marcelo Rivas‐Astroza, et al.. (2018). Mapping RNA‐chromatin interactions. The FASEB Journal. 32(S1). 2 indexed citations
11.
Yan, Zhangming, Yue Zhang, Jianhong Wang, et al.. (2017). Axon guidance pathways served as common targets for human speech/language evolution and related disorders. Brain and Language. 174. 1–8. 17 indexed citations
12.
Sridhar, Bharat, Marcelo Rivas‐Astroza, Tri C. Nguyen, et al.. (2017). Systematic Mapping of RNA-Chromatin Interactions In Vivo. Current Biology. 27(4). 602–609. 133 indexed citations
13.
Liu, Hua, et al.. (2017). Inhibition of the Hedgehog signaling pathway suppresses cell proliferation by regulating the Gli2/miR-124/AURKA axis in human glioma cells. International Journal of Oncology. 50(5). 1868–1878. 17 indexed citations
14.
Xiang, Shunian, Zhangming Yan, Ke Liu, Yaou Zhang, & Zhirong Sun. (2016). AthMethPre: a web server for the prediction and query of mRNA m6A sites in Arabidopsis thaliana. Molecular BioSystems. 12(11). 3333–3337. 48 indexed citations
15.
Xiang, Shunian, Ke Liu, Zhangming Yan, Yaou Zhang, & Zhirong Sun. (2016). RNAMethPre: A Web Server for the Prediction and Query of mRNA m6A Sites. PLoS ONE. 11(10). e0162707–e0162707. 46 indexed citations
16.
Liu, Ke, Zhangming Yan, Yuchao Li, & Zhirong Sun. (2013). Linc2GO: a human LincRNA function annotation resource based on ceRNA hypothesis. Bioinformatics. 29(17). 2221–2222. 91 indexed citations
17.
Gao, Jing, et al.. (2012). A novel differential diagnostic model based on multiple biological parameters for immunoglobulin A nephropathy. BMC Medical Informatics and Decision Making. 12(1). 58–58. 7 indexed citations
18.
Li, Wenting, Rui Wang, Zhangming Yan, Linfu Bai, & Zhirong Sun. (2012). High Accordance in Prognosis Prediction of Colorectal Cancer across Independent Datasets by Multi-Gene Module Expression Profiles. PLoS ONE. 7(3). e33653–e33653. 7 indexed citations
19.
Li, Wenting, Rui Wang, Zhangming Yan, Linfu Bai, & Zhirong Sun. (2012). Correction: High Accordance in Prognosis Prediction of Colorectal Cancer across Independent Datasets by Multi-Gene Module Expression Profiles. PLoS ONE. 7(9). 1 indexed citations
20.
Li, Wenting, Rui Wang, Linfu Bai, Zhangming Yan, & Zhirong Sun. (2012). Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level. BMC Systems Biology. 6(1). 64–64. 3 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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