Tzu‐Pin Lu

4.2k citations
161 papers · 2.7k · 1 hit paper · h-index 23

Impact in

Papers in

    • Bioinformatics and Genomic Networks 12
    • RNA modifications and cancer 11
    • Gene expression and cancer classification 10
    • Cancer Genomics and Diagnostics 10
    • Cancer-related molecular mechanisms research 9

Tzu‐Pin Lu

152 papers receiving 2.7k citations

Tzu‐Pin Lu's Hit Papers

Altered gut microbiota and inflammatory cytokine responses in patients with Parkinson’s disease 2019 · 354 citations
3540+2+4Years since publication100200300

Peers

Tzu‐Pin Lu
Comparison fields: 5 of 150
  • Cancer Research 598
  • Biological Psychiatry 63
  • Molecular Biology 1.3k
  • Neurology 164
  • Pulmonary and Respiratory Medicine 349
Replace Valeriia Haberland with:
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Chong Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Tzu‐Pin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Pin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Altered gut microbiota and inflammatory cytokine responses in patients with Parkinson’s disease
Hit paper breakdown →
2019354
2 2012272
3 2010240
4 202082
5 201378
6 201469
7 201158
8 201452
9 201951
10 202147
11 201939
12 201739
13 201538
14 201434
15 202231
16 202131
17 201930
18 201925
19 202024
20 201124

About Tzu‐Pin Lu

Tzu‐Pin Lu is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 161 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Bioinformatics and Genomic Networks (12 papers), RNA modifications and cancer (11 papers), Cancer Genomics and Diagnostics (10 papers), Gene expression and cancer classification (10 papers), Genomic variations and chromosomal abnormalities (10 papers), Cancer-related molecular mechanisms research (9 papers) and Genomics and Rare Diseases (8 papers). The work is most often cited by research in Cancer Research (598 citations), Biological Psychiatry (63 citations), Molecular Biology (1.3k citations), Neurology (164 citations) and Pulmonary and Respiratory Medicine (349 citations). Tzu‐Pin Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Eric Y. Chuang, Liang‐Chuan Lai, Mong‐Hsun Tsai, Chuhsing Kate Hsiao, Chien‐Yueh Lee, Yu‐Chiao Chiu, Chung‐Ping Hsu, Jang‐Ming Lee, Chieh‐Chang Chen and Ming‐Shiang Wu. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, Annals of Surgical Oncology, Cancer Research and PLoS ONE.

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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