Yan Lu

2.5k citations
82 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

    • Hepatocellular Carcinoma Treatment and Prognosis 10
    • CAR-T cell therapy research 6
    • Cancer-related Molecular Pathways 3

Yan Lu

79 papers receiving 2.1k citations

Peers

Yan Lu
Comparison fields: 5 of 99
  • Hepatology 313
  • Cancer Research 217
  • Molecular Biology 718
  • Oncology 196
  • Otorhinolaryngology 46
Replace Dae‐Ghon Kim with:
Dae‐Ghon Kim South Korea
Watcharin Loilome Thailand
Nisana Namwat Thailand
Xiaolong Chen China
Anju Shrivastava India
Young Do Yoo South Korea
Hai Huang China
Gwo‐Tarng Sheu Taiwan
Xiaojie Lu China
Yan Lu relative to Dae‐Ghon Kim South Korea Dae‐Ghon Kim's profile →
Citations per field
00.5×2×2.7×
Dae‐Ghon Kim · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017280
2 1993167
3 2016113
4 2020101
5 201693
6 201681
7 201677
8 201672
9 201563
10 202061
11 201853
12 201547
13 201539
14 201639
15 201739
16 201839
17 201738
18 201237
19 201634
20 201933

About Yan Lu

Yan Lu is a scholar working on Hepatology, Oncology, Molecular Biology, Cancer Research and Otorhinolaryngology, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Hepatitis B Virus Studies (6 papers), CAR-T cell therapy research (6 papers), Head and Neck Cancer Studies (4 papers), Polysaccharides Composition and Applications (4 papers), Mechanisms of cancer metastasis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Hepatology (313 citations), Cancer Research (217 citations), Molecular Biology (718 citations), Oncology (196 citations) and Otorhinolaryngology (46 citations). Yan Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mengsen Li, Mingyue Zhu, Suyan Shan, Yong Liu, Tom Lawson, Junli Guo, Bo Lin, Wei Li, Xieju Xie and Yi Chen. Their work appears in journals such as Frontiers in Immunology, Journal of Cancer, Cancer Medicine, Scientific Reports 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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