L Skoza

736 citations
16 papers · 637 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Enzyme function and inhibition 2
    • Proteoglycans and glycosaminoglycans research 2

L Skoza

16 papers receiving 585 citations

Peers

L Skoza
Comparison fields: 5 of 95
  • Nephrology 71
  • Molecular Biology 304
  • Immunology and Allergy 25
  • Cell Biology 72
  • Hematology 45
Replace Terumi Takahashi with:
Terumi Takahashi Japan
Sally M. Fuerstenberg Sweden
Morton Urivetzky United States
Iwao Koyama Japan
E. Stefanski Canada
Berthil H.C.M.T. Prinsen Netherlands
Erich Köiw Canada
J. W. Keyser United Kingdom
Theodore C. Simon United States
Patricia Madara United States
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Citations per field
00.5×2.8×
Terumi Takahashi · 1×
Citations per year

Countries citing papers authored by L Skoza

Since Specialization
Citations

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

Fields of papers citing papers by L Skoza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside L Skoza, 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 L Skoza Line = papers co-authored together L Skoza links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1976247
2 1969107
3 196751
4
Protective effect of interferon inducers against hyperoxic pulmonary damage.
198442
5 197038
6 198337
7 196921
8 198320
9 197018
10 196812
11
Lysosomal enzymes in the heart of the genetically diabetic mouse.
198012
12 19698
13 19807
14
Demonstration of a protease inhibitor in the cornea.
19796
15
Enzymatic solubilization and separation of glomerular collagen and sialoprotein. Effect of contaminating enzymes present in commercial collagenase preparations.
19746
16 19665

About L Skoza

L Skoza is a scholar working on Molecular Biology, Cell Biology, Rheumatology, Biotechnology and Surgery, having authored 16 papers that have together received 637 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Enzyme Production and Characterization (3 papers), Vitamin C and Antioxidants Research (2 papers), Bone and Dental Protein Studies (2 papers), Protease and Inhibitor Mechanisms (2 papers), Enzyme function and inhibition (2 papers), Diet, Metabolism, and Disease (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Nephrology (71 citations), Molecular Biology (304 citations), Immunology and Allergy (25 citations), Cell Biology (72 citations) and Hematology (45 citations). L Skoza has collaborated with scholars based in United States and Hungary. Frequent co-authors include Steven C. Mohos, Yutaka Kikkawa, Robert A. Grant, Marjorie B. Zucker, Z. Jerushalmy, Sumio Yano, Alison Johnson, M. Semar, Joseph Wiener and F Giacomelli. Their work appears in journals such as Lung, Experimental Biology and Medicine, Biochemical Pharmacology, Journal of Clinical Investigation and Annals of the New York Academy of Sciences.

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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