Lujia Chen

1.0k citations
36 papers · 691 · h-index 13

Impact in

Papers in

    • Cancer Genomics and Diagnostics 5
    • Bioinformatics and Genomic Networks 6
    • Fibroblast Growth Factor Research 2
    • Single-cell and spatial transcriptomics 2

Lujia Chen

32 papers receiving 682 citations

Peers

Lujia Chen
Comparison fields: 5 of 90
  • Cancer Research 100
  • Genetics 65
  • Molecular Biology 338
  • Biophysics 28
  • Process Chemistry and Technology 13
Replace José Guilherme de Almeida with:
José Guilherme de Almeida Portugal
Emmanouil I. Athanasiadis Greece
Venkata Jaganmohan Thodima United States
Chunhui Cai United States
Sonali Narang United States
Matthew H. Ung United States
Verena Becker Germany
Nishanth Ulhas Nair United States
Yafei Wang China
Anthony E. Rizzardi United States
Lujia Chen relative to José Guilherme de Almeida Portugal José Guilherme de Almeida's profile →
Citations per field
00.5×10×20×30×39×
José Guilherme de Almeida · 1×
Citations per year

Countries citing papers authored by Lujia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lujia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lujia Chen, 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 Lujia Chen Line = papers co-authored together Lujia Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 200885
3 201672
4 201469
5 202342
6 202136
7 201335
8 201230
9 202029
10 201529
11 201921
12 201517
13 202415
14 20249
15 20229
16 20177
17 20247
18 20166
19 20236
20 20075

About Lujia Chen

Lujia Chen is a scholar working on Cancer Research, Molecular Biology, Oncology, Biophysics and Computational Theory and Mathematics, having authored 36 papers that have together received 691 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers), Computational Drug Discovery Methods (3 papers), Fibroblast Growth Factor Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Genetic Associations and Epidemiology (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (100 citations), Genetics (65 citations), Molecular Biology (338 citations), Biophysics (28 citations) and Process Chemistry and Technology (13 citations). Lujia Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xinghua Lu, Gregory F. Cooper, Chunhui Cai, Vicky W. Chen, Michael Qi Ding, Jin Hai Tang, Zhiqing Hu, Yanfang Wang, H. Wang and Hao Shen. Their work appears in journals such as BioMed Research International, PLoS Computational Biology, Science Advances, Frontiers in Genetics and Molecular Cancer Research.

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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