Lexun Wang

2.3k citations
52 papers · 1.8k · 1 hit paper · h-index 19

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immune Cell Function and Interaction
    • Parasites and Host Interactions

Papers in

Lexun Wang

51 papers receiving 1.8k citations

Lexun Wang's Hit Papers

M2b macrophage polarization and its roles in diseases 2018 · 703 citations
7030+2+5Years since publication200400600

Peers

Lexun Wang
Comparison fields: 5 of 124
  • Immunology 503
  • Parasitology 92
  • Epidemiology 262
  • Molecular Biology 548
  • Cancer Research 103
Replace Fei Chen with:
Fei Chen China
Qian Sun China
Huaping Liang China
Yanfen Chai China
Namiko Hoshi Japan
Anne Delvaux Belgium
Mi-Sung Kim South Korea
Lexun Wang relative to Fei Chen China Fei Chen's profile →
Citations per field
00.5×1.7×
Fei Chen · 1×
Citations per year

Countries citing papers authored by Lexun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lexun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
M2b macrophage polarization and its roles in diseases
Hit paper breakdown →
2018703
2 2021139
3 202095
4 202183
5 202377
6 201772
7 202150
8 202046
9 202244
10 200935
11 202130
12 202229
13 202228
14 202328
15 202127
16 202126
17 202122
18 201022
19 201918
20 201217

About Lexun Wang

Lexun Wang is a scholar working on Molecular Biology, Parasitology, Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parasites and Host Interactions (9 papers), Cardiac Fibrosis and Remodeling (6 papers), Immune cells in cancer (4 papers), Helminth infection and control (4 papers), Parasite Biology and Host Interactions (4 papers), Neurological diseases and metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Immunology (503 citations), Parasitology (92 citations), Epidemiology (262 citations), Molecular Biology (548 citations) and Cancer Research (103 citations). Lexun Wang has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Jiao Guo, Xianglu Rong, Huijuan Wu, Yingyu Chen, Xiao Gong, Weijian Bei, Tian Lan, Weixuan Wang, Weixuan Wang and Shuo Jiang. Their work appears in journals such as Parasitology Research, Biomedicine & Pharmacotherapy, Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine and Hepatology.

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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