Lujia Chen

986 citations
36 papers · 617 · h-index 12

Impact in

Papers in

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

Lujia Chen

34 papers receiving 608 citations

Peers

Lujia Chen
Comparison fields: 5 of 87
  • Cancer Research 93
  • Genetics 57
  • Process Chemistry and Technology 14
  • Molecular Biology 309
  • Biophysics 22
Replace Rand Arafeh with:
Rand Arafeh United States
Yafei Wang China
Emmanouil Athanasiadis Greece
Matthew Ung United States
Uroš Kuzmanov Canada
Laura Turunen Finland
Jia-Yun Chen United States
Szymon Stoma Switzerland
Diego Alonso‐López Spain
Anthony E. Rizzardi United States
Lujia Chen relative to Rand Arafeh United States Rand Arafeh's profile →
Citations per field
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Rand Arafeh · 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 2017115
2 200875
3 201670
4 201462
5 202335
6 201330
7 201230
8 202129
9 202027
10 201527
11 201917
12 201514
13 20227
14 20247
15 20177
16 20166
17 20246
18 20235
19 20075
20 20224

About Lujia Chen

Lujia Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 36 papers that have together received 617 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers), Ferroptosis and cancer prognosis (3 papers), Computational Drug Discovery Methods (3 papers), Single-cell and spatial transcriptomics (2 papers), Fibroblast Growth Factor Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (93 citations), Genetics (57 citations), Process Chemistry and Technology (14 citations), Molecular Biology (309 citations) and Biophysics (22 citations). Lujia Chen has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Xinghua Lu, Gregory F. Cooper, Chunhui Cai, Vicky Chen, Michael Q. Ding, Zhiqing Hu, Jin Tang, Jie Liang, Hao Shen and Yanfang Wang. Their work appears in journals such as BioMed Research International, Science Advances, PLoS Computational Biology, Scientific Reports and Journal of Animal Science.

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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