Jean Lu

3.1k citations
73 papers · 2.5k · h-index 32

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Cancer Cells and Metastasis
    • Ovarian cancer diagnosis and treatment

Papers in

    • Pluripotent Stem Cells Research 13
    • CRISPR and Genetic Engineering 7
    • Viral-associated cancers and disorders 12
    • Chemokine receptors and signaling 4

Jean Lu

70 papers receiving 2.5k citations

Peers

Jean Lu
Comparison fields: 5 of 116
  • Oncology 799
  • Reproductive Medicine 239
  • Cancer Research 363
  • Immunology 358
  • Molecular Biology 1.0k
Replace Tetsuichiro Inai with:
Tetsuichiro Inai Japan
Seung‐Hyun Jung South Korea
K T Yeo United States
Chaoyang Sun China
Kiang-Teck Yeo United States
Masahiko Hosaka Japan
R. Dover United Kingdom
Ying Zhu China
Qingxia Wei Canada
Philippe Clément-Lacroix France
Jean Lu relative to Tetsuichiro Inai Japan Tetsuichiro Inai's profile →
Citations per field
00.5×2.9×
Tetsuichiro Inai · 1×
Citations per year

Countries citing papers authored by Jean Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jean Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012187
2 2006171
3 2000129
4
Profile of cytokine expression in nasopharyngeal carcinomas: a distinct expression of interleukin 1 in tumor and CD4+ T cells.
1999106
5 199998
6 201396
7 200679
8 200271
9
Regulation of matrix metalloproteinase-1 by Epstein-Barr virus proteins.
200371
10 201464
11 201462
12 200658
13 199758
14 201556
15 200056
16 199655
17 199753
18 200150
19
Detection of circulating cancer cells by reverse transcription-polymerase chain reaction for uroplakin II in peripheral blood of patients with urothelial cancer.
200050
20 200049

About Jean Lu

Jean Lu is a scholar working on Molecular Biology, Oncology, Immunology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), Viral-associated cancers and disorders (12 papers), Diabetes Management and Research (10 papers), CRISPR and Genetic Engineering (7 papers), Parvovirus B19 Infection Studies (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Immune Cell Function and Interaction (4 papers) and Chemokine receptors and signaling (4 papers). The work is most often cited by research in Oncology (799 citations), Reproductive Medicine (239 citations), Cancer Research (363 citations), Immunology (358 citations) and Molecular Biology (1.0k citations). Jean Lu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Ching-Hwa Tsai, Yao Chang, Jen‐Yang Chen, Shaoyin Chen, Shih‐Hung Yang, Runhua Hou, Carmen J. Booth, M Snyder, Wenxin Zheng and Michael Hsiao. Their work appears in journals such as Journal of Virology, Journal of Diabetes Science and Technology, Gynecologic Oncology, Scientific Reports and Cells.

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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