Ojia Skaff

544 total citations
8 papers, 466 citations indexed

About

Ojia Skaff is a scholar working on Physiology, Organic Chemistry and Immunology. According to data from OpenAlex, Ojia Skaff has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Organic Chemistry and 3 papers in Immunology. Recurrent topics in Ojia Skaff's work include Nitric Oxide and Endothelin Effects (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Free Radicals and Antioxidants (2 papers). Ojia Skaff is often cited by papers focused on Nitric Oxide and Endothelin Effects (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Free Radicals and Antioxidants (2 papers). Ojia Skaff collaborates with scholars based in Australia, New Zealand and India. Ojia Skaff's co-authors include Michael J. Davies, David I. Pattison, Craig A. Hutton, Katrina A. Jolliffe, Philip E. Morgan, K. Indira Priyadarsini, Vimal K. Jain, Revathy Senthilmohan, Anthony J. Kettle and Anna Chapman and has published in prestigious journals such as Biochemistry, Biochemical Journal and The Journal of Organic Chemistry.

In The Last Decade

Ojia Skaff

8 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ojia Skaff Australia	8	188	179	126	112	67	8	466
Fiona A. Summers United States	8	198 1.1×	100 0.6×	102 0.8×	45 0.4×	26 0.4×	11	439
H. Kondo Japan	10	145 0.8×	76 0.4×	61 0.5×	41 0.4×	46 0.7×	22	441
Dave Flowers United States	3	185 1.0×	315 1.8×	197 1.6×	38 0.3×	65 1.0×	3	674
Klaus Felix Germany	12	179 1.0×	31 0.2×	71 0.6×	67 0.6×	97 1.4×	30	519
Hans Hoogland Netherlands	9	162 0.9×	142 0.8×	112 0.9×	27 0.2×	18 0.3×	9	432
Christophe Colas United States	9	189 1.0×	63 0.4×	32 0.3×	95 0.8×	25 0.4×	12	411
Michael Ronk United States	16	390 2.1×	22 0.1×	42 0.3×	123 1.1×	42 0.6×	26	903
Alberto Sala Italy	18	361 1.9×	47 0.3×	90 0.7×	354 3.2×	17 0.3×	70	868
Bo Tan China	13	266 1.4×	52 0.3×	27 0.2×	76 0.7×	24 0.4×	28	581
A.R.J. Bakkenist Netherlands	7	135 0.7×	244 1.4×	159 1.3×	19 0.2×	25 0.4×	7	417

Countries citing papers authored by Ojia Skaff

Since Specialization

Citations

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

Fields of papers citing papers by Ojia Skaff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ojia Skaff

This figure shows the co-authorship network connecting the top 25 collaborators of Ojia Skaff. A scholar is included among the top collaborators of Ojia Skaff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ojia Skaff. Ojia Skaff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Pattison, David I., Robert J. O’Reilly, Ojia Skaff, et al.. (2011). One-Electron Reduction of N-Chlorinated and N-Brominated Species Is a Source of Radicals and Bromine Atom Formation. Chemical Research in Toxicology. 24(3). 371–382. 25 indexed citations

Skaff, Ojia, David I. Pattison, Philip E. Morgan, et al.. (2011). Selenium-containing amino acids are targets for myeloperoxidase-derived hypothiocyanous acid: determination of absolute rate constants and implications for biological damage. Biochemical Journal. 441(1). 305–316. 69 indexed citations

Skaff, Ojia, David I. Pattison, & Michael J. Davies. (2009). Hypothiocyanous acid reactivity with low-molecular-mass and protein thiols: absolute rate constants and assessment of biological relevance. Biochemical Journal. 422(1). 111–117. 109 indexed citations

Skaff, Ojia, David I. Pattison, & Michael J. Davies. (2008). The Vinyl Ether Linkages of Plasmalogens Are Favored Targets for Myeloperoxidase-Derived Oxidants: A Kinetic Study. Biochemistry. 47(31). 8237–8245. 67 indexed citations

Chapman, Anna, Ojia Skaff, Revathy Senthilmohan, Anthony J. Kettle, & Michael J. Davies. (2008). Hypobromous acid and bromamine production by neutrophils and modulation by superoxide. Biochemical Journal. 417(3). 773–781. 47 indexed citations

Skaff, Ojia, David I. Pattison, & Michael J. Davies. (2007). Kinetics of Hypobromous Acid-Mediated Oxidation of Lipid Components and Antioxidants. Chemical Research in Toxicology. 20(12). 1980–1988. 52 indexed citations

Skaff, Ojia, Katrina A. Jolliffe, & Craig A. Hutton. (2005). Synthesis of the Side Chain Cross-Linked Tyrosine Oligomers Dityrosine, Trityrosine, and Pulcherosine. The Journal of Organic Chemistry. 70(18). 7353–7363. 65 indexed citations

Hutton, Craig A. & Ojia Skaff. (2003). A convenient preparation of dityrosine via Miyaura borylation–Suzuki coupling of iodotyrosine derivatives. Tetrahedron Letters. 44(26). 4895–4898. 32 indexed citations

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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