Sen Lu

2.1k citations
64 papers · 1.7k · h-index 27

Impact in

Papers in

Sen Lu

62 papers receiving 1.7k citations

Peers

Sen Lu
Comparison fields: 5 of 104
  • Cancer Research 581
  • Hepatology 110
  • Biochemistry 100
  • Genetics 140
  • Molecular Biology 784
Replace Nam‐ho Huh with:
Nam‐ho Huh Japan
Hanna Rokita Poland
Ji‐Liang Li China
Shinzo Nishi Japan
Laura Amicone Italy
Giovanny Rodriguez Blanco United Kingdom
Haibo Yu China
Joery De Kock Belgium
Minnie Y.Y. Go Hong Kong
Anquan Shang China
Sen Lu relative to Nam‐ho Huh Japan Nam‐ho Huh's profile →
Citations per field
00.5×2×4×6×8.2×
Nam‐ho Huh · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016135
2 2014101
3 201797
4 201797
5 202087
6 201083
7 201466
8 201466
9
Up-regulation of miR-877 induced by paclitaxel inhibits hepatocellular carcinoma cell proliferation though targeting FOXM1.
201550
10 201744
11 202442
12
Magnesium isoglycyrrhizinate protects hepatic L02 cells from ischemia/reperfusion induced injury.
201438
13 201838
14 200836
15 201434
16 201734
17 200633
18 202033
19 201331
20 201631

About Sen Lu

Sen Lu is a scholar working on Cancer Research, Hepatology, Molecular Biology, Reproductive Medicine and Genetics, having authored 64 papers that have together received 1.7k 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), RNA modifications and cancer (5 papers), Animal Genetics and Reproduction (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Epigenetics and DNA Methylation (5 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Cancer Research (581 citations), Hepatology (110 citations), Biochemistry (100 citations), Genetics (140 citations) and Molecular Biology (784 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 Hua Gao, Jiaojiao Hu, Yun Gao, Hong Fan, Xuemei Qiu and Pihai Gong. Their work appears in journals such as Oncology Reports, Molecular and Cellular Biochemistry, Molecular Biology Reports, Animal Reproduction Science and Theriogenology.

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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