Yi‐Tsung Lu

1.5k citations
28 papers · 1.0k indexed · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • Cancer Genomics and Diagnostics 10
    • Cancer Cells and Metastasis 9
    • Cancer Immunotherapy and Biomarkers 5

Yi‐Tsung Lu

26 papers receiving 1.0k citations

Peers

Yi‐Tsung Lu
Comparison fields: 5 of 72
  • Cancer Research 429
  • Oncology 463
  • Biomedical Engineering 396
  • Molecular Biology 403
  • Pulmonary and Respiratory Medicine 165
Replace Jie‐Fu Chen with:
Jie‐Fu Chen United States
Francisco G. Ortega Spain
Jennifer H.E. Baker Canada
Daniel L. Adams United States
Lanlan Hui China
Jason L.J. Dearling United States
Chandra Rao United States
Zi‐Li Yu China
Cornelia Coith Germany
Trinh Pham United States
Yi‐Tsung Lu relative to Jie‐Fu Chen United States Jie‐Fu Chen's profile →
Citations per field
00.5×1.5×2.0×
Jie‐Fu Chen · 1×
Citations per year

Countries citing papers authored by Yi‐Tsung Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Tsung Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20242
3 20245
4 202322
5 202212
6 202211
7 202011
8 201951
9 20192
10 201882
11
Circulating tumor cells in prostate cancer: beyond enumeration.
20179
12 20162
13 201643
14 2014118
15 201482
16 20141
17 2014177
18 20131
19 2013133
20 201396

About Yi‐Tsung Lu

Yi‐Tsung Lu is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Surgery and Biophysics, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Cancer Cells and Metastasis (9 papers), Bladder and Urothelial Cancer Treatments (8 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Urinary and Genital Oncology Studies (5 papers), Epigenetics and DNA Methylation (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Cancer Research (429 citations), Oncology (463 citations), Biomedical Engineering (396 citations), Molecular Biology (403 citations) and Pulmonary and Respiratory Medicine (165 citations). Yi‐Tsung Lu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Hsian‐Rong Tseng, Shuang Hou, Edwin M. Posadas, Jie‐Fu Chen, Leland W.K. Chung, Zunfu Ke, Jake Lichterman, Millicent Lin, Jinzhao Song and Yang Zhang. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Advanced Materials, Cancer and Scientific Reports.

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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