Jin Liu

5.7k total citations · 1 hit paper
168 papers, 2.9k citations indexed

About

Jin Liu is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jin Liu has authored 168 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 47 papers in Genetics and 14 papers in Plant Science. Recurrent topics in Jin Liu's work include Genetic Associations and Epidemiology (29 papers), Gene expression and cancer classification (22 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Jin Liu is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Gene expression and cancer classification (22 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Jin Liu collaborates with scholars based in China, Singapore and United States. Jin Liu's co-authors include Jian Huang, Can Yang, Sheng Xiang, Fangzhou Yang, Dawei Cheng, Shuangge Ma, Xingjie Shi, Baofu Li, Jingsi Ming and Yi Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jin Liu

146 papers receiving 2.8k 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.

Financial time series forecasting with multi-modality graph neural network

2021 225 citations Jin Liu et al. profile →

Peers

Jin Liu

MB

GENET

EEE

CR

AI

Hainan Chen China

Dejun Zhang China

Neeraj Sharma India

Chunxia Zhao China

Lichao Zhang China

Jian Lin China

Shinn‐Ying Ho Taiwan

Tianzhen Wang China

Xiaobing Wu China

Ahmed Rebaï Tunisia

Hainan Chen China

Jin Liu

947 ×0.9

MB

572 ×0.8

GENET

285 ×1.5

EEE

113 ×0.6

CR

155 ×0.8

AI

Citations per year, relative to Jin Liu Jin Liu (= 1×) peers Hainan Chen

Countries citing papers authored by Jin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Liu. A scholar is included among the top collaborators of Jin Liu 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 Jin Liu. Jin Liu 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.

Huang, Xingru, Zhaoyang Xu, Yang Han, et al.. (2025). Multi-aspect fusion in foundational large vision model for visible light medical imaging segmentation. Information Fusion. 125. 103385–103385.

2.

Duan, Yuansheng, Kai Yue, Weifeng Shi, et al.. (2025). Blocking PSMD14-mediated E2F1/ERK/AKT signaling pathways suppresses the progression of anaplastic thyroid cancer. Cellular Signalling. 132. 111826–111826.

3.

Liu, Jin, et al.. (2025). Candidate gene discovery for nitrogen use efficiency in rice based on genome-wide association study. Current Plant Biology. 42. 100479–100479.

4.

Jia, Xiaoyu, Weiguang Chen, Jingyi Yang, et al.. (2024). Impact of warming and nitrogen addition on soil greenhouse gas fluxes: A global perspective. Journal of Environmental Sciences. 151. 88–99. 3 indexed citations

5.

Ma, Xiaoding, Shengyang Wu, Di Cui, et al.. (2024). DeepCCR: large‐scale genomics‐based deep learning method for improving rice breeding. Plant Biotechnology Journal. 22(10). 2691–2693. 19 indexed citations

6.

Chen, Yuxuan, Ruiqing Zheng, Jin Liu, & Min Li. (2024). scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data. Briefings in Bioinformatics. 25(2). 4 indexed citations

7.

Liao, Xu, Xiaoran Chai, Peng Xie, et al.. (2024). Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo. Nature Communications. 15(1). 10849–10849. 1 indexed citations

8.

Zhang, Xiao, et al.. (2023). iSC.MEB: an R package for multi-sample spatial clustering analysis of spatial transcriptomics data. Bioinformatics Advances. 3(1). vbad019–vbad019. 1 indexed citations

9.

Lau, Mai Chan, Chun Jye Lim, Xinru Lim, et al.. (2023). Immunohistochemical scoring of LAG-3 in conjunction with CD8 in the tumor microenvironment predicts response to immunotherapy in hepatocellular carcinoma. Frontiers in Immunology. 14. 1150985–1150985. 13 indexed citations

10.

Wang, Luyao, Jin Liu, Xin Yang, et al.. (2023). Macrophagic Sclerostin Loop2-ApoER2 Interaction Required by Sclerostin for Suppressing Inflammatory Responses. Metabolism. 142. 155427–155427. 1 indexed citations

11.

Xiao, Jiashun, Mingxuan Cai, Yuling Jiao, et al.. (2023). PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinformatics. 39(2). 1 indexed citations

12.

Tham, Cheng Yong, Lai-Fong Poon, Tingdong Yan, et al.. (2023). High-throughput telomere length measurement at nucleotide resolution using the PacBio high fidelity sequencing platform. Nature Communications. 14(1). 281–281. 27 indexed citations

13.

Liu, Wei, Xu Liao, Yi Yang, et al.. (2022). Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data. Nucleic Acids Research. 50(12). e72–e72. 41 indexed citations

14.

Liu, Jin, et al.. (2022). Investigating the effects of local weather, streamflow lag, and global climate information on 1-month-ahead streamflow forecasting by using XGBoost and SHAP: two case studies involving the contiguous USA. Acta Geophysica. 71(2). 905–925. 26 indexed citations

15.

Yang, Yi, Xingjie Shi, Wei Liu, et al.. (2021). SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes. Briefings in Bioinformatics. 23(1). 50 indexed citations

16.

Cheng, Qing, Yi Yang, Xingjie Shi, et al.. (2020). MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy. NAR Genomics and Bioinformatics. 2(2). lqaa028–lqaa028. 33 indexed citations

17.

Shi, Xingjie, Xiaoran Chai, Yi Yang, et al.. (2020). A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies. Nucleic Acids Research. 48(19). e109–e109. 20 indexed citations

18.

Cai, Mingxuan, Lin Chen, Jin Liu, & Can Yang. (2020). IGREX for quantifying the impact of genetically regulated expression on phenotypes. NAR Genomics and Bioinformatics. 2(1). lqaa010–lqaa010. 12 indexed citations

19.

Zhangyuan, Guangyan, Xiaoqian Xu, Cong Xue, et al.. (2020). lncRNA PCBP1-AS1 Aggravates the Progression of Hepatocellular Carcinoma via Regulating PCBP1/PRL-3/AKT Pathway. SHILAP Revista de lepidopterología. 2 indexed citations

20.

Yang, Yi, Xingjie Shi, Yuling Jiao, et al.. (2019). CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinformatics. 36(7). 2009–2016. 26 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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