Gail C. Brammar

12 total papers · 843 total citations
11 papers, 666 citations indexed

About

Gail C. Brammar is a scholar working on Periodontics, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Gail C. Brammar has authored 11 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Periodontics, 3 papers in Nephrology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Gail C. Brammar's work include Oral microbiology and periodontitis research (5 papers), Oral Health Pathology and Treatment (3 papers) and Advanced Glycation End Products research (2 papers). Gail C. Brammar is often cited by papers focused on Oral microbiology and periodontitis research (5 papers), Oral Health Pathology and Treatment (3 papers) and Advanced Glycation End Products research (2 papers). Gail C. Brammar collaborates with scholars based in Australia, United States and Netherlands. Gail C. Brammar's co-authors include Josephine M. Forbes, Mark E. Cooper, Wendy C. Burns, Eric C. Reynolds, Neil M. O’Brien‐Simpson, Tanya M. Osicka, George Jerums, Vicki Thallas, Merlin C. Thomas and Louise M. Burrell and has published in prestigious journals such as The Journal of Immunology, Diabetes and Endocrinology.

In The Last Decade

Gail C. Brammar

11 papers receiving 652 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gail C. Brammar	227	192	172	148	129	11	666
Yoichi Tachi	156 0.7×	158 0.8×	95 0.6×	7 0.0×	61 0.5×	22	575
C He	364 1.6×	6 0.0×	152 0.9×	154 1.0×	221 1.7×	10	650
María del Mar Arriero	246 1.1×	9 0.0×	241 1.4×	24 0.2×	87 0.7×	8	658
Fabio Gianiorio	94 0.4×	5 0.0×	217 1.3×	211 1.4×	94 0.7×	10	696
Xinli Xu	41 0.2×	7 0.0×	246 1.4×	321 2.2×	57 0.4×	12	687
Muralikrishna Gangadharan Komala	77 0.3×	6 0.0×	171 1.0×	216 1.5×	349 2.7×	22	611
Harshini Mudaliar	118 0.5×	5 0.0×	209 1.2×	185 1.3×	285 2.2×	9	668
Marino Bruseghin	112 0.5×	4 0.0×	101 0.6×	338 2.3×	273 2.1×	15	751
Maria Arriero	365 1.6×	4 0.0×	231 1.3×	46 0.3×	134 1.0×	15	679
Kay E. Frank	356 1.6×	5 0.0×	91 0.5×	46 0.3×	240 1.9×	8	699

Countries citing papers authored by Gail C. Brammar

Since Specialization

Citations

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

Fields of papers citing papers by Gail C. Brammar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail C. Brammar. 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 Gail C. Brammar. The network helps show where Gail C. Brammar may publish in the future.

Co-authorship network of co-authors of Gail C. Brammar

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

All Works

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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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