Na Lu

8.4k citations
155 papers · 7.4k · 1 hit paper · h-index 50

Impact in

Papers in

    • Flavonoids in Medical Research 74
    • Cancer, Hypoxia, and Metabolism 10
    • Protease and Inhibitor Mechanisms 7

Na Lu

153 papers receiving 7.3k citations

Na Lu's Hit Papers

The Application of Ferroptosis in Diseases 2020 · 346 citations
3460+2+4Years since publication100200300

Peers

Na Lu
Comparison fields: 5 of 108
  • Pharmacology 1.7k
  • Cancer Research 717
  • Drug Discovery 11
  • Complementary and alternative medicine 355
  • Oncology 712
Replace Qinglong Guo with:
Qinglong Guo China
Qi-Dong You China
Li Zhao China
Peiying Yang United States
Po‐Lin Kuo Taiwan
Wun‐Jae Kim South Korea
Ya‐Ling Hsu Taiwan
Guang Liang China
Manoj Kumar Pandey United States
Yong Yang China
Na Lu relative to Qinglong Guo China Qinglong Guo's profile →
Citations per field
00.5×1.5×
Qinglong Guo · 1×
Citations per year

Countries citing papers authored by Na Lu

Since Specialization
Citations

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

Fields of papers citing papers by Na Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Application of Ferroptosis in Diseases
Hit paper breakdown →
2020346
2 2018315
3 2011262
4 2007216
5 2009181
6 2010173
7 2007156
8 2015135
9 2013122
10 2014110
11 200897
12 201396
13 201696
14 200791
15 200888
16 201788
17 201888
18 201387
19 200984
20 201483

About Na Lu

Na Lu is a scholar working on Pharmacology, Cancer Research, Molecular Biology, Oncology and Biomaterials, having authored 155 papers that have together received 7.4k indexed citations. Recurring topics across this work include Flavonoids in Medical Research (74 papers), Natural Compound Pharmacology Studies (12 papers), Angiogenesis and VEGF in Cancer (12 papers), Cell death mechanisms and regulation (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Protease and Inhibitor Mechanisms (7 papers), Cancer-related Molecular Pathways (7 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Pharmacology (1.7k citations), Cancer Research (717 citations), Drug Discovery (11 citations), Complementary and alternative medicine (355 citations) and Oncology (712 citations). Na Lu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Qinglong Guo, Qi-Dong You, Qi Qi, Zhiyu Li, Yong Yang, Li Zhao, Xiuming Song, Hong-Yan Gu, Yue Zhao and Qinsheng Dai. Their work appears in journals such as Cancer Letters, Molecular Carcinogenesis, Oncotarget, Toxicology and European Journal of 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.

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