Luojia Wu

1.1k citations
24 papers · 946 indexed · h-index 14

Impact in

Papers in

Luojia Wu

23 papers receiving 917 citations

Peers

Luojia Wu
Comparison fields: 5 of 87
  • Rheumatology 334
  • Immunology and Allergy 130
  • Endocrinology, Diabetes and Metabolism 251
  • Orthopedics and Sports Medicine 74
  • Molecular Biology 468
Replace Licia N.Y. Wu with:
Licia N.Y. Wu United States
Laura V. Hale United States
Fumitaka Kugimiya Japan
Aurora Fausto United States
Yasuto Taguchi United States
Y. Koshizuka Japan
Carmen Huesa United Kingdom
L. Lepescheux Belgium
Kei Yamana Japan
Tomoko Kikuchi Japan
Luojia Wu relative to Licia N.Y. Wu United States Licia N.Y. Wu's profile →
Citations per field
00.5×1.5×2.5×
Licia N.Y. Wu · 1×
Citations per year

Countries citing papers authored by Luojia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Luojia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20246
4 20232
5 202311
6 20064
7 199837
8 199833
9 199414
10 199320
11 199399
12 199143
13 1991135
14 198998
15 198997
16 1988180
17 19881
18 198321
19 198224
20 198131

About Luojia Wu

Luojia Wu is a scholar working on Clinical Biochemistry, Immunology and Allergy, Cell Biology, Rheumatology and Microbiology, having authored 24 papers that have together received 946 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Metabolism and Genetic Disorders (5 papers), Alkaline Phosphatase Research Studies (5 papers), ATP Synthase and ATPases Research (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Cell Adhesion Molecules Research (3 papers), S100 Proteins and Annexins (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Rheumatology (334 citations), Immunology and Allergy (130 citations), Endocrinology, Diabetes and Metabolism (251 citations), Orthopedics and Sports Medicine (74 citations) and Molecular Biology (468 citations). Luojia Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Roy E. Wuthier, Brian R. Genge, Glenn R. Sauer, Ronald R. Fisher, Yoshinori Ishikawa, Thorsten Kirsch, K. Simkiss, Marina G. Taylor, R Pennington and Xu Cao. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics, Journal of Cellular Biochemistry, Biomedicine & Pharmacotherapy and Calcified Tissue International.

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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