Jin Liu

5.7k citations
168 papers · 2.9k indexed · 1 hit paper · h-index 31
Topics
Genetic Associations and Epidemiology (29 papers)Gene expression and cancer classification (22 papers)Genetic Mapping and Diversity in Plants and Animals (19 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Jin Liu

146 papers receiving 2.8k citations

Hit Papers

Financial time series forecasting with multi-modality gra...2021202620222024202150100150200

Peers

Jin Liu
Comparison fields: 5 of 184
  • Molecular Biology 1.1k
  • Genetics 690
  • Electrical and Electronic Engineering 196
  • Cancer Research 193
  • Artificial Intelligence 187
Replace Alexander Statnikov with:
Alexander Statnikov United States
Pat Brown United States
Philippe Besse France
Holger Fröhlich Germany
Yufeng Liu China
Shinn‐Ying Ho Taiwan
Chunxia Zhao China
Yi‐Hau Chen Taiwan
Bert Gunter United States
Jian Lin China
Jin Liu relative to Alexander Statnikov United States Alexander Statnikov's profile →
Citations per field
00.5×4.3×
Alexander Statnikov · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 19
6 4
7 1
8 1
9 13
10 1
11 1
12 27
13 41
14 26
15 50
16 33
17 20
18 12
19
lncRNA PCBP1-AS1 Aggravates the Progression of Hepatocellular Carcinoma via Regulating PCBP1/PRL-3/AKT Pathway
2
20 26

About Jin Liu

Jin Liu is a scholar working on Statistics and Probability, Computational Mathematics and Genetics, having authored 168 papers that have together received 2.9k indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (690 citations), Statistics and Probability (156 citations) and Molecular Biology (1.1k citations). Jin Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jian Huang, Can Yang, Sheng Xiang, Fangzhou Yang, Dawei Cheng, Shuangge Ma, Xingjie Shi, Baofu Li, Jingsi Ming and Yi Yang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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