Yan Lu

2.8k citations
92 papers · 1.9k indexed · h-index 25

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 9
    • CAR-T cell therapy research 8
    • Cancer-related Molecular Pathways 5

Yan Lu

85 papers receiving 1.9k citations

Peers

Yan Lu
Comparison fields: 5 of 121
  • Hepatology 208
  • Cancer Research 377
  • Biochemistry 102
  • Molecular Biology 999
  • Hematology 159
Replace Xin He with:
Xin He China
Wenjing Zhou China
Mehryar Habibi Roudkenar Iran
Young Do Yoo South Korea
Junfei Jin China
Ying Nie China
Xiaoyi Hu China
Xi Yang United States
Monica Morini Italy
Yan Lu relative to Xin He China Xin He's profile →
Citations per field
00.5×3.4×
Xin He · 1×
Citations per year

Countries citing papers authored by Yan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017218
2 1993148
3 2016109
4 1999101
5 201687
6 201678
7 201672
8 201669
9 201562
10 201460
11 201850
12 201545
13 201639
14 201538
15 201238
16 201838
17 201736
18 201735
19 201933
20 201633

About Yan Lu

Yan Lu is a scholar working on Cancer Research, Oncology, Hepatology, Molecular Biology and Equine, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers), CAR-T cell therapy research (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Hepatitis B Virus Studies (5 papers), Circular RNAs in diseases (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Hepatology (208 citations), Cancer Research (377 citations), Biochemistry (102 citations), Molecular Biology (999 citations) and Hematology (159 citations). Yan Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mengsen Li, Mingyue Zhu, Junli Guo, Tom Lawson, Yong Liu, Suyan Shan, Wei Li, Bo Lin, Xieju Xie and Yi Chen. Their work appears in journals such as Frontiers in Immunology, Journal of Cancer, Scientific Reports, Journal of Cardiovascular Pharmacology and International Journal of Cancer.

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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