Nada Slakeski

2.7k total citations
39 papers, 2.3k citations indexed

About

Nada Slakeski is a scholar working on Periodontics, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Nada Slakeski has authored 39 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Periodontics, 17 papers in Public Health, Environmental and Occupational Health and 12 papers in Molecular Biology. Recurrent topics in Nada Slakeski's work include Oral microbiology and periodontitis research (33 papers), Streptococcal Infections and Treatments (12 papers) and Oral and gingival health research (7 papers). Nada Slakeski is often cited by papers focused on Oral microbiology and periodontitis research (33 papers), Streptococcal Infections and Treatments (12 papers) and Oral and gingival health research (7 papers). Nada Slakeski collaborates with scholars based in Australia, United Kingdom and United States. Nada Slakeski's co-authors include Eric C. Reynolds, Stuart G. Dashper, Paul D. Veith, Neil M. O’Brien‐Simpson, Steven M. Cleal, Yu‐Yen Chen, Caroline Moore, Rita Paolini, Christine A. Seers and Geoffrey B. Fincher and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Nada Slakeski

39 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nada Slakeski Australia 32 1.6k 831 763 301 236 39 2.3k
Hansel M. Fletcher United States 28 1.7k 1.0× 973 1.2× 647 0.8× 202 0.7× 142 0.6× 77 2.5k
Joseph Aduse‐Opoku United Kingdom 30 1.7k 1.1× 1.1k 1.3× 965 1.3× 271 0.9× 396 1.7× 54 2.9k
Paul D. Veith Australia 34 1.9k 1.2× 1.3k 1.6× 972 1.3× 254 0.8× 460 1.9× 73 3.2k
Mikio Shoji Japan 25 1.3k 0.8× 1.0k 1.2× 676 0.9× 175 0.6× 144 0.6× 46 2.0k
Hakimuddin T. Sojar United States 27 1.5k 0.9× 810 1.0× 827 1.1× 109 0.4× 305 1.3× 58 2.4k
Margaret J. Duncan United States 24 1.1k 0.7× 868 1.0× 619 0.8× 104 0.3× 141 0.6× 43 1.9k
Hideharu Yukitake Japan 22 928 0.6× 829 1.0× 546 0.7× 127 0.4× 131 0.6× 38 1.8k
Benjamin Hammond United States 26 1.3k 0.8× 478 0.6× 551 0.7× 162 0.5× 367 1.6× 61 2.1k
Joseph M. DiRienzo United States 29 1.1k 0.7× 991 1.2× 734 1.0× 69 0.2× 339 1.4× 59 2.5k
Kiyonobu Honma United States 26 993 0.6× 509 0.6× 502 0.7× 52 0.2× 181 0.8× 56 1.9k

Countries citing papers authored by Nada Slakeski

Since Specialization
Citations

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

Fields of papers citing papers by Nada Slakeski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Slakeski

This figure shows the co-authorship network connecting the top 25 collaborators of Nada Slakeski. A scholar is included among the top collaborators of Nada Slakeski 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 Nada Slakeski. Nada Slakeski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Slakeski, Nada, Catherine A. Butler, Paul D. Veith, et al.. (2019). The Role of Treponema denticola Motility in Synergistic Biofilm Formation With Porphyromonas gingivalis. Frontiers in Cellular and Infection Microbiology. 9. 432–432. 38 indexed citations
2.
Seers, Christine A., Paul D. Veith, Catherine A. Butler, et al.. (2016). PG1058 Is a Novel Multidomain Protein Component of the Bacterial Type IX Secretion System. PLoS ONE. 11(10). e0164313–e0164313. 38 indexed citations
3.
Dashper, Stuart G., et al.. (2015). Bacterial interactions in pathogenic subgingival plaque. Microbial Pathogenesis. 94. 60–69. 41 indexed citations
4.
Tan, Kheng H., Christine A. Seers, Stuart G. Dashper, et al.. (2014). Porphyromonas gingivalis and Treponema denticola Exhibit Metabolic Symbioses. PLoS Pathogens. 10(3). e1003955–e1003955. 112 indexed citations
5.
Zhu, Ying, Stuart G. Dashper, Yu‐Yen Chen, et al.. (2013). Porphyromonas gingivalis and Treponema denticola Synergistic Polymicrobial Biofilm Development. PLoS ONE. 8(8). e71727–e71727. 95 indexed citations
6.
Huq, N. Laila, Christine A. Seers, Stuart G. Dashper, et al.. (2013). Propeptide-Mediated Inhibition of Cognate Gingipain Proteinases. PLoS ONE. 8(6). e65447–e65447. 10 indexed citations
7.
Lo, Alvin W., Christine A. Seers, John D. Boyce, et al.. (2009). Comparative transcriptomic analysis of Porphyromonas gingivalisbiofilm and planktonic cells. BMC Microbiology. 9(1). 18–18. 64 indexed citations
8.
O’Brien‐Simpson, Neil M., Nada Slakeski, Katrina A. Walsh, et al.. (2006). Vaccination with recombinant adhesins from the RgpA–Kgp proteinase–adhesin complex protects against Porphyromonas gingivalis infection. Vaccine. 24(42-43). 6542–6554. 29 indexed citations
9.
Dashper, Stuart G., et al.. (2003). Hemoglobin hydrolysis and heme acquisition by Porphyromonas gingivalis. Oral Microbiology and Immunology. 19(1). 50–56. 34 indexed citations
10.
Veith, Paul D., Gert Talbo, Nada Slakeski, et al.. (2002). Major outer membrane proteins and proteolytic processing of RgpA and Kgp of Porphyromonas gingivalis W50. Biochemical Journal. 363(1). 105–105. 105 indexed citations
11.
Chen, Yu‐Yen, Keith J. Cross, Rita Paolini, et al.. (2002). CPG70 Is a Novel Basic Metallocarboxypeptidase with C-terminal Polycystic Kidney Disease Domains from Porphyromonas gingivalis. Journal of Biological Chemistry. 277(26). 23433–23440. 47 indexed citations
12.
Veith, Paul D., Gert Talbo, Nada Slakeski, & Eric C. Reynolds. (2001). Identification of a novel heterodimeric outer membrane protein of Porphyromonas gingivalis by two‐dimensional gel electrophoresis and peptide mass fingerprinting. European Journal of Biochemistry. 268(17). 4748–4757. 41 indexed citations
13.
Hoffmann, Brigitte, et al.. (2000). A consensusPorphyromonas gingivalispromoter sequence. FEMS Microbiology Letters. 186(1). 133–138. 28 indexed citations
14.
Dashper, Stuart G., Nada Slakeski, Keith J. Cross, et al.. (2000). Characterization of a Novel Outer Membrane Hemin-Binding Protein of Porphyromonas gingivalis. Journal of Bacteriology. 182(22). 6456–6462. 83 indexed citations
15.
16.
Slakeski, Nada, Steven M. Cleal, & Eric C. Reynolds. (1996). Characterization of aPorphyromonas gingivalisGeneprtRThat Encodes an Arginine-Specific Thiol Proteinase and Multiple Adhesins. Biochemical and Biophysical Research Communications. 224(3). 605–610. 36 indexed citations
17.
18.
Slakeski, Nada & Geoffrey B. Fincher. (1992). Developmental Regulation of (1→3, 1→4)-β-Glucanase Gene Expression in Barley. PLANT PHYSIOLOGY. 99(3). 1226–1231. 63 indexed citations
19.
Slakeski, Nada & Geoffrey B. Fincher. (1992). Barley (1→3,1→4)‐β‐glucanase isoenzyme EI gene expression is mediated by auxin and gibberellic acid. FEBS Letters. 306(2-3). 98–102. 21 indexed citations
20.
Slakeski, Nada, et al.. (1990). Structure and tissue-specific regulation of genes encoding barley (1→3, 1→4)-β-glucan endohydrolases. Molecular and General Genetics MGG. 224(3). 437–449. 57 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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