Wei‐Ning Lin

1.9k citations
65 papers · 1.6k · h-index 24

Impact in

    • NF-κB Signaling Pathways
    • Protease and Inhibitor Mechanisms
  • Immunology top 10%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Wei‐Ning Lin

60 papers receiving 1.6k citations

Peers

Wei‐Ning Lin
Comparison fields: 5 of 110
  • Cancer Research 204
  • Immunology 265
  • Microbiology 69
  • Biochemistry 69
  • Immunology and Allergy 52
Replace Eun‐Ju Chang with:
Eun‐Ju Chang South Korea
Bing-Chang Chen Taiwan
Suk‐Hwan Baek South Korea
Yoshikiyo Okada Japan
Jun Lü China
Lambertus J.H. van Tits Netherlands
Sanchayita Mitra United States
Kazuko Shichijo Japan
Wei‐Ning Lin relative to Eun‐Ju Chang South Korea Eun‐Ju Chang's profile →
Citations per field
00.5×1.5×2×2.3×
Eun‐Ju Chang · 1×
Citations per year

Countries citing papers authored by Wei‐Ning Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ning Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ning Lin. 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 Wei‐Ning Lin. The network helps show where Wei‐Ning Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 2007119
3 200590
4 200473
5 201653
6 201146
7 201543
8 200942
9 202041
10 200740
11 201839
12 201936
13 200534
14 200934
15 202032
16 201931
17 201929
18 201228
19 200927
20 202026

About Wei‐Ning Lin

Wei‐Ning Lin is a scholar working on Immunology, Cancer Research, Microbiology, Pharmacology and Immunology and Allergy, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (10 papers), Heme Oxygenase-1 and Carbon Monoxide (10 papers), Inflammatory mediators and NSAID effects (7 papers), Immune Response and Inflammation (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cell Adhesion Molecules Research (5 papers), Reproductive tract infections research (5 papers) and Inflammasome and immune disorders (5 papers). The work is most often cited by research in Cancer Research (204 citations), Immunology (265 citations), Microbiology (69 citations), Biochemistry (69 citations) and Immunology and Allergy (52 citations). Wei‐Ning Lin has collaborated with scholars based in Taiwan, Vietnam and United States. Frequent co-authors include Chuen‐Mao Yang, Chiang‐Wen Lee, Shue‐Fen Luo, Chih‐Chung Lin, Li‐Der Hsiao, Chih‐Chung Lin, Chih‐Chung Lin, Jong‐Shyan Wang, Jia‐Feng Chang and I‐Te Lee. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, International Journal of Molecular Sciences, Journal of Clinical Medicine, Journal of Cellular Physiology and Cellular Signalling.

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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