Sen Lu

2.1k citations
63 papers · 1.6k · h-index 26

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Sulfur Compounds in Biology

Papers in

    • Circular RNAs in diseases 7
    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 8

Sen Lu

60 papers receiving 1.6k citations

Peers

Sen Lu
Comparison fields: 5 of 103
  • Cancer Research 571
  • Biochemistry 98
  • Genetics 132
  • Hepatology 93
  • Molecular Biology 768
Replace Kyoungsub Song with:
Kyoungsub Song United States
Sadeesh K. Ramakrishnan United States
Sucheta Telang United States
Ji‐Liang Li China
Daniela Verzella Italy
Haibo Yu China
Xuelai Luo China
Anquan Shang China
Toshiya Nakatani Japan
Kenji Kawai Japan
Sen Lu relative to Kyoungsub Song United States Kyoungsub Song's profile →
Citations per field
00.5×3.3×
Kyoungsub Song · 1×
Citations per year

Countries citing papers authored by Sen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 201796
3 201496
4 201790
5 202087
6 201078
7 201466
8 201465
9
Up-regulation of miR-877 induced by paclitaxel inhibits hepatocellular carcinoma cell proliferation though targeting FOXM1.
201550
10 201745
11 201838
12
Magnesium isoglycyrrhizinate protects hepatic L02 cells from ischemia/reperfusion induced injury.
201438
13 202434
14 200833
15 201433
16 201733
17 202032
18 201332
19 201431
20 201630

About Sen Lu

Sen Lu is a scholar working on Molecular Biology, Cancer Research, Genetics, Hepatology and Oncology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Animal Genetics and Reproduction (5 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Sperm and Testicular Function (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Cancer Research (571 citations), Biochemistry (98 citations), Genetics (132 citations), Hepatology (93 citations) and Molecular Biology (768 citations). Sen Lu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xinli Huang, Jianjie Qin, Xuehao Wang, Yun Gao, Yun Gao, Jiaojiao Hu, Yun Gao, Hong Fan, Xuemei Qiu and Pihai Gong. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Oncology Reports, Molecular and Cellular Biochemistry and Molecular Biology 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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