Yan Lu

2.9k citations
94 papers · 2.1k · h-index 25

Impact in

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

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Genomics, phytochemicals, and oxidative stress 4
    • Circular RNAs in diseases 4
    • CAR-T cell therapy research 8

Yan Lu

86 papers receiving 2.0k citations

Peers

Yan Lu
Comparison fields: 5 of 121
  • Hepatology 190
  • Cancer Research 301
  • Biochemistry 101
  • Hematology 151
  • Molecular Biology 943
Replace Ying Nie with:
Ying Nie China
Ji Yoon Lee South Korea
Monica Morini Italy
Ping Lei China
Sang Chul Lee South Korea
Xi Yang United States
Masahiro Oka Japan
Mehryar Habibi Roudkenar Iran
Shinji Naito Japan
Bei Zhang China
Yan Lu relative to Ying Nie China Ying Nie's profile →
Citations per field
00.5×5.1×
Ying Nie · 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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017273
2 1993159
3 2016113
4 1999108
5 201691
6 201679
7 201675
8 201670
9 201562
10 201461
11 201851
12 201546
13 201639
14 201738
15 201538
16 201838
17 201738
18 201238
19 201634
20 201933

About Yan Lu

Yan Lu is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Immunology, having authored 94 papers that have together received 2.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Hepatitis B Virus Studies (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Hepatology (190 citations), Cancer Research (301 citations), Biochemistry (101 citations), Hematology (151 citations) and Molecular Biology (943 citations). Yan Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mengsen Li, Mingyue Zhu, Yong Liu, Tom Lawson, Suyan Shan, Junli Guo, Bo Lin, Wei Li, Xieju Xie and Yi Chen. Their work appears in journals such as Frontiers in Immunology, Journal of Cancer, Protein Expression and Purification, Blood and Journal of Cardiovascular Pharmacology.

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.

Explore authors with similar magnitude of impact