Junlin Xu

1.3k citations
54 papers · 791 · h-index 17

Impact in

Papers in

    • Machine Learning in Bioinformatics 11
    • Single-cell and spatial transcriptomics 10
    • Bioinformatics and Genomic Networks 7
    • Gene expression and cancer classification 4
    • Circular RNAs in diseases 4
    • Computational Drug Discovery Methods 13

Junlin Xu

49 papers receiving 785 citations

Peers

Junlin Xu
Comparison fields: 5 of 103
  • Cancer Research 199
  • Computational Theory and Mathematics 159
  • Molecular Biology 476
  • Biophysics 32
  • Artificial Intelligence 78
Replace Yajie Meng with:
Yajie Meng China
Jianbo Fu China
Yahui Long China
Xiangzheng Fu China
Minjie Mou China
Olga Zolotareva Germany
Len Trigg United States
Changcheng Lu China
Shuting Jin China
Jaegyoon Ahn South Korea
Junlin Xu relative to Yajie Meng China Yajie Meng's profile →
Citations per field
00.5×3.1×
Yajie Meng · 1×
Citations per year

Countries citing papers authored by Junlin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junlin Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junlin Xu Line = papers co-authored together Junlin Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202085
2 202169
3 202367
4 202154
5 202045
6 201840
7 201937
8 202130
9 202228
10 202027
11 201825
12 202222
13 202320
14 202220
15 202119
16 202216
17 201416
18 202413
19 202513
20 201912

About Junlin Xu

Junlin Xu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Infectious Diseases and Artificial Intelligence, having authored 54 papers that have together received 791 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Cancer-related molecular mechanisms research (12 papers), Machine Learning in Bioinformatics (11 papers), Single-cell and spatial transcriptomics (10 papers), MicroRNA in disease regulation (9 papers), Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (199 citations), Computational Theory and Mathematics (159 citations), Molecular Biology (476 citations), Biophysics (32 citations) and Artificial Intelligence (78 citations). Junlin Xu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yajie Meng, Jialiang Yang, Lijun Cai, Xianfang Tang, Wen Zhu, Geng Tian, Changcheng Lu, Bo Liao, Min Jin and Lihong Peng. Their work appears in journals such as IEEE Access, Journal of Chemical Information and Modeling, Frontiers in Genetics, Engineering Applications of Artificial Intelligence and Frontiers in Microbiology.

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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