Ji Wan

4.3k total citations · 1 hit paper
33 papers, 3.2k citations indexed

About

Ji Wan is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ji Wan has authored 33 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Ji Wan's work include RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (13 papers) and RNA Research and Splicing (12 papers). Ji Wan is often cited by papers focused on RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (13 papers) and RNA Research and Splicing (12 papers). Ji Wan collaborates with scholars based in United States, China and United Kingdom. Ji Wan's co-authors include Shu‐Bing Qian, Xingqian Zhang, Jun Zhou, Xiangwei Gao, Samie R. Jaffrey, Yi Xing, Zhi Wei, Tian Tian, Qi Song and Yuanhui Mao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ji Wan

32 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamic m6A mRNA methylation directs translational control of heat shock response

2015 988 citations Jun Zhou, Ji Wan et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Wan United States	21	3.0k	1.0k	235	141	122	33	3.2k
Xiaoyu Li China	25	3.1k 1.0×	1.3k 1.3×	154 0.7×	81 0.6×	75 0.6×	71	3.4k
Julia I. Toth United States	21	2.4k 0.8×	593 0.6×	184 0.8×	118 0.8×	179 1.5×	38	2.6k
Pascal W.T.C. Jansen Netherlands	26	2.6k 0.9×	392 0.4×	70 0.3×	200 1.4×	88 0.7×	55	3.0k
Sergi Regot United States	18	1.9k 0.6×	287 0.3×	99 0.4×	151 1.1×	43 0.4×	27	2.3k
Éric R. Paquet Canada	30	2.3k 0.8×	666 0.7×	39 0.2×	180 1.3×	116 1.0×	61	3.0k
Ole Morten Seternes Norway	26	1.1k 0.4×	182 0.2×	144 0.6×	230 1.6×	84 0.7×	52	1.8k
Sharon Moshitch-Moshkovitz Israel	15	5.9k 2.0×	2.6k 2.6×	729 3.1×	92 0.7×	252 2.1×	20	6.1k
Marijke Baltissen Netherlands	18	2.0k 0.7×	368 0.4×	76 0.3×	131 0.9×	45 0.4×	34	2.3k
Prema Narayan United States	24	1.3k 0.4×	387 0.4×	145 0.6×	71 0.5×	29 0.2×	48	1.8k
Yanxiao Zhang United States	18	1.4k 0.5×	296 0.3×	34 0.1×	119 0.8×	101 0.8×	38	1.8k

Countries citing papers authored by Ji Wan

Since Specialization

Citations

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

Fields of papers citing papers by Ji Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Wan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhu, Xiangwei, Shanglong Liu, Hao Lu, et al.. (2025). Customized Molecular Design of a Novel Wide‐Bandgap Polymer Donor Based on Benzo[1,2‐ b :3,4‐ b ′:6,5‐ b ″]Trithiophene Unit with Over 20% Solar Cell Efficiency. Advanced Materials. 38(4). e16146–e16146.

2.

Ye, Yilin, Jian Wang, Yu Zhu, et al.. (2023). SIGANEO: Similarity network with GAN enhancement for immunogenic neoepitope prediction. Computational and Structural Biotechnology Journal. 21. 5538–5543. 2 indexed citations

3.

Ye, Yilin, Jian Wang, Yi Wang, et al.. (2021). MATHLA: a robust framework for HLA-peptide binding prediction integrating bidirectional LSTM and multiple head attention mechanism. BMC Bioinformatics. 22(1). 7–7. 21 indexed citations

4.

Tian, Tian, Ji Wan, Qi Song, & Zhi Wei. (2019). Clustering single-cell RNA-seq data with a model-based deep learning approach. Nature Machine Intelligence. 1(4). 191–198. 240 indexed citations

5.

Zhou, Jun, Ji Wan, Xin Shu, et al.. (2018). N6-Methyladenosine Guides mRNA Alternative Translation during Integrated Stress Response. Molecular Cell. 69(4). 636–647.e7. 201 indexed citations

6.

Wan, Ji, Yoshihiko Fujita, Jagpreet S. Nanda, et al.. (2017). Competition between translation initiation factor eIF5 and its mimic protein 5MP determines non-AUG initiation rate genome-wide. Nucleic Acids Research. 45(20). 11941–11953. 59 indexed citations

7.

Liu, Xiaomin, Yuanhui Mao, L. Dong, et al.. (2017). m6A Facilitates eIF4F-Independent mRNA Translation. Molecular Cell. 68(3). 504–514.e7. 199 indexed citations

8.

Saikia, Mridusmita, Xiaoyun Wang, Yuanhui Mao, et al.. (2016). Codon optimality controls differential mRNA translation during amino acid starvation. RNA. 22(11). 1719–1727. 36 indexed citations

9.

Gao, Xiangwei, Ji Wan, & Shu‐Bing Qian. (2015). Genome-Wide Profiling of Alternative Translation Initiation Sites. Methods in molecular biology. 1358. 303–316. 6 indexed citations

10.

Zhou, Jun, Ji Wan, Xiangwei Gao, et al.. (2015). Dynamic m6A mRNA methylation directs translational control of heat shock response. Nature. 526(7574). 591–594. 988 indexed citations breakdown →

11.

Gao, Xiangwei, et al.. (2014). Quantitative profiling of initiating ribosomes in vivo. Nature Methods. 12(2). 147–153. 181 indexed citations

12.

Ma, Jun, et al.. (2014). Methamphetamine induces autophagy as a pro-survival response against apoptotic endothelial cell death through the Kappa opioid receptor. Cell Death and Disease. 5(3). e1099–e1099. 80 indexed citations

13.

Lackford, Brad, Chun Yao, Xiaofeng Zheng, et al.. (2014). Fip1 regulates mRNA alternative polyadenylation to promote stem cell self-renewal. The EMBO Journal. 33(8). 878–889. 128 indexed citations

14.

Yao, Chengguo, Eun‐A Choi, Lingjie Weng, et al.. (2013). Overlapping and distinct functions of CstF64 and CstF64τ in mammalian mRNA 3′ processing. RNA. 19(12). 1781–1790. 57 indexed citations

15.

Ji, Xinjun, et al.. (2013). αCP Poly(C) Binding Proteins Act as Global Regulators of Alternative Polyadenylation. Molecular and Cellular Biology. 33(13). 2560–2573. 39 indexed citations

16.

Monteys, Alex Mas, Ryan M. Spengler, Ji Wan, et al.. (2010). Structure and activity of putative intronic miRNA promoters. RNA. 16(3). 495–505. 295 indexed citations

17.

Liu, Wen, et al.. (2007). In Silico Prediction of Peptide-MHC Binding Affinity Using SVRMHC. Methods in molecular biology. 409. 283–291. 10 indexed citations

18.

Wan, Ji, et al.. (2006). SVRMHC prediction server for MHC-binding peptides. BMC Bioinformatics. 7(1). 463–463. 78 indexed citations

19.

Wan, Ji. (2001). GISH analysis of Thinopyrum intermedium. Xibei zhiwu xuebao. 2 indexed citations

20.

Wan, Ji. (1999). Transfer of the powdery mildew resistant gene from T.dicoccoides into T.aestivum and its RAPD analysis. Xibei zhiwu xuebao. 2 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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