Na Lu

9.4k citations
201 papers · 7.9k · 1 hit paper · h-index 49

Impact in

  • Pharmacology top 0.2%
    • Flavonoids in Medical Research
    • Synthesis of Organic Compounds
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Natural product bioactivities and synthesis 22
    • Cell death mechanisms and regulation 14
    • Angiogenesis and VEGF in Cancer 12
    • Flavonoids in Medical Research 46
    • Synthesis of Organic Compounds 17

Na Lu

198 papers receiving 7.8k citations

Na Lu's Hit Papers

The Application of Ferroptosis in Diseases 2020 · 337 citations
3370+2+4Years since publication100200300

Peers

Na Lu
Comparison fields: 5 of 132
  • Pharmacology 1.8k
  • Cancer Research 1.3k
  • Toxicology 192
  • Molecular Biology 3.8k
  • Oncology 1.3k
Replace Wun‐Jae Kim with:
Wun‐Jae Kim South Korea
Qinglong Guo China
M. Helena Vasconcelos Portugal
Manoj K. Pandey United States
Chapla Agarwal United States
Nam Deuk Kim South Korea
Sanjeev Shukla United States
Yong Yang China
Jin‐Jian Lu Macao
Lihong Hu China
Na Lu relative to Wun‐Jae Kim South Korea Wun‐Jae Kim's profile →
Citations per field
00.5×1.5×2.5×
Wun‐Jae Kim · 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 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Application of Ferroptosis in Diseases
Hit paper breakdown →
2020337
2 2018296
3 2011238
4 2007211
5 2009173
6 2010169
7 2007151
8 2015132
9 2013114
10 2014108
11 200895
12 201391
13 201690
14 200789
15 200885
16 201784
17 201884
18 200983
19 201382
20 202082

About Na Lu

Na Lu is a scholar working on Molecular Biology, Pharmacology, Oncology, Cancer Research and Plant Science, having authored 201 papers that have together received 7.9k indexed citations. Recurring topics across this work include Flavonoids in Medical Research (46 papers), Natural Compound Pharmacology Studies (23 papers), Natural product bioactivities and synthesis (22 papers), Cancer-related Molecular Pathways (21 papers), Cancer, Hypoxia, and Metabolism (18 papers), Synthesis of Organic Compounds (17 papers), Cell death mechanisms and regulation (14 papers) and Angiogenesis and VEGF in Cancer (12 papers). The work is most often cited by research in Pharmacology (1.8k citations), Cancer Research (1.3k citations), Toxicology (192 citations), Molecular Biology (3.8k citations) and Oncology (1.3k citations). Na Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinglong Guo, Qidong You, Qi Qi, Zhiyu Li, Yong Yang, Li Zhao, Yun Ling, Hong-Yan Gu, Xiuming Song and Qinsheng Dai. Their work appears in journals such as Molecular Carcinogenesis, Oncotarget, Cancer Letters, Toxicology and PLoS ONE.

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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