Lingjuan Chen

989 citations
30 papers · 719 · h-index 14

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 4
    • Lung Cancer Research Studies 4
    • Viral Infectious Diseases and Gene Expression in Insects 3

Lingjuan Chen

28 papers receiving 710 citations

Peers

Lingjuan Chen
Comparison fields: 5 of 78
  • Energy Engineering and Power Technology 60
  • Catalysis 70
  • Oncology 217
  • Immunology 138
  • Cancer Research 93
Replace Sonia Vivet with:
Sonia Vivet France
Koichi Doi Japan
Ninad Kumbhojkar United States
Daiki Omata Japan
Surya Murty United States
Wilfrid Boireau France
Migara Kavishka Jayasinghe Singapore
Huizi Sha China
Elise Robinson United States
Dongmei Yang China
Lingjuan Chen relative to Sonia Vivet France Sonia Vivet's profile →
Citations per field
00.5×7.7×
Sonia Vivet · 1×
Citations per year

Countries citing papers authored by Lingjuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingjuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019115
2 202282
3 202062
4 201859
5 202357
6 202148
7 202343
8 201737
9 201533
10 202431
11 201722
12 201718
13 202117
14 202113
15 202313
16 201813
17 202312
18 20199
19 20228
20 20215

About Lingjuan Chen

Lingjuan Chen is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Epidemiology, having authored 30 papers that have together received 719 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers), Lung Cancer Research Studies (4 papers), Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Hydrogen Storage and Materials (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (60 citations), Catalysis (70 citations), Oncology (217 citations), Immunology (138 citations) and Cancer Research (93 citations). Lingjuan Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ruiguang Zhang, Xiaorong Dong, Guang Xu, Fan Tong, Jinghua Ren, Qin Zhou, Yang Wang, Wei Zhang, Hui Lü and Xiaomin Dong. Their work appears in journals such as Journal of Clinical Oncology, Journal of Experimental & Clinical Cancer Research, Frontiers in Oncology, Frontiers in Immunology and Pharmacological 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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