Lan Pang

1.5k citations
37 papers · 898 · h-index 20

Impact in

  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
    • Immune cells in cancer
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds

Papers in

Lan Pang

36 papers receiving 882 citations

Peers

Lan Pang
Comparison fields: 5 of 100
  • Immunology 277
  • Pharmacology 58
  • Rehabilitation 42
  • Cancer Research 84
  • Molecular Biology 358
Replace Tomoya Iida with:
Tomoya Iida Japan
Yan Ma China
Mohd Wahid Saudi Arabia
Shijie Xu China
Antonio Di Grazia Italy
Takemasa Takii Japan
Young Min Son South Korea
Changchun Hou China
Anupama Sahoo United States
Jingyan Xia China
Lan Pang relative to Tomoya Iida Japan Tomoya Iida's profile →
Citations per field
00.5×5.9×
Tomoya Iida · 1×
Citations per year

Countries citing papers authored by Lan Pang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013104
2 201177
3 201477
4 201964
5 201363
6 202060
7 201846
8 202138
9 202234
10 201828
11 201927
12 201526
13 202126
14 202221
15 202121
16 201721
17 201520
18 202119
19 201419
20 201919

About Lan Pang

Lan Pang is a scholar working on Molecular Biology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 37 papers that have together received 898 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Wound Healing and Treatments (4 papers), PARP inhibition in cancer therapy (4 papers), Cancer-related molecular mechanisms research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA modifications and cancer (3 papers) and Insect Utilization and Effects (2 papers). The work is most often cited by research in Immunology (277 citations), Pharmacology (58 citations), Rehabilitation (42 citations), Cancer Research (84 citations) and Molecular Biology (358 citations). Lan Pang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Balázs Rada, Thomas L. Leto, Harry L. Malech, Samuel M. Moskowitz, Jinming Zhang, Robert C. Bast, Chaomei Fu, Zhen Lü, Dae‐Goon Yoo and Weiqun Mao. Their work appears in journals such as Cancer Research, Cancer, The Journal of Immunology, International Journal of Biological Macromolecules and Journal of Ethnopharmacology.

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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