Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Advances in the pathogenesis of periodontitis: summary of developments, clinical implications and future directions
This map shows the geographic impact of G. J. Seymour'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 G. J. Seymour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. J. Seymour more than expected).
This network shows the impact of papers produced by G. J. Seymour. 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 G. J. Seymour. The network helps show where G. J. Seymour may publish in the future.
Co-authorship network of co-authors of G. J. Seymour
This figure shows the co-authorship network connecting the top 25 collaborators of G. J. Seymour.
A scholar is included among the top collaborators of G. J. Seymour 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 G. J. Seymour. G. J. Seymour is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gardiner, Robert A., Peter MacTaggart, John Yaxley, et al.. (2014). Survival outcomes for men with castrate-resistant prostate cancer (CRPC) treated with a dendritic-cell based vaccine in a randomized controlled trial. Queensland's institutional digital repository (The University of Queensland).3 indexed citations
5.
Rich, Alison M., et al.. (2013). Qualitative and quantitative assessment of immune cells in oral mucosal lichen planus (OMLP). Sains Malaysiana. 42(1). 65–71.2 indexed citations
Marshall, R. I., et al.. (2003). COX-1 and COX-2 in Human Periodontal Disease States. Australian Dental Journal. 48.
11.
Cullinan, M. P., Stephen Hamlet, Melissa Lindeman, G. J. Seymour, & B. Westerman. (1999). The effects of smoking on the serum antibody response to oral pathogens. Journal of Dental Research. 78. 180–180.1 indexed citations
12.
Bird, P. S., et al.. (1999). Phylogenetic characterisation of Porphyromonas gingivalis from the oral cavity of marsupials. Journal of Dental Research. 78(5). 943–943.1 indexed citations
Sugerman, PB, et al.. (1995). Heat-Shock Protein Expression in Oral Squamous-Cell Carcinoma. Journal of Dental Research. 74(3). 759–759.1 indexed citations
16.
Mackinnon, L. T., et al.. (1993). Temporal relationship between decreased salivary IgA and upper respiratory tract infection in elite athletes. 25(4). 94–99.31 indexed citations
17.
Seymour, G. J., et al.. (1989). Detection of Interleukin-1 Inhibition in Tooth Germ Cultures From the Microphthalmic Mouse. Journal of Dental Research. 68(4). 543–543.1 indexed citations
18.
Seow, W.K., G. J. Seymour, & Y.H. Thong. (1986). Modulatory Effects of Periodontopathic Bacteria on Polymorphonuclear Leukocyte Adherence. Journal of Dental Research. 65(4). 476–476.9 indexed citations
19.
Seymour, G. J., et al.. (1986). Modulation of Langerhans Cell T6 Antigen Expression by Interleukin-1. Journal of Dental Research. 65(4). 473–473.14 indexed citations
20.
Seymour, G. J., et al.. (1986). Disturbances of Tooth Form and Eruption in the Microphthalmic Mouse. Journal of Dental Research. 65(4). 480–480.2 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.