Buket Han

654 total citations
8 papers, 529 citations indexed

About

Buket Han is a scholar working on Periodontics, Pharmacy and Molecular Biology. According to data from OpenAlex, Buket Han has authored 8 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Periodontics, 5 papers in Pharmacy and 2 papers in Molecular Biology. Recurrent topics in Buket Han's work include Oral microbiology and periodontitis research (7 papers), Oral and gingival health research (5 papers) and Oral Health Pathology and Treatment (2 papers). Buket Han is often cited by papers focused on Oral microbiology and periodontitis research (7 papers), Oral and gingival health research (5 papers) and Oral Health Pathology and Treatment (2 papers). Buket Han collaborates with scholars based in Türkiye, Finland and United Kingdom. Buket Han's co-authors include Gülnur Emingil, Gül Atilla, Francis J. Hughes, Nagihan Bostancı, Beral Afacan, Tunç İlgenli, Georgios N. Belibasakis, Hüseyin Töz, Taina Tervahartiala and Timo Sorsa and has published in prestigious journals such as Journal of Dental Research, Journal Of Clinical Periodontology and Journal of Periodontology.

In The Last Decade

Buket Han

8 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Buket Han Türkiye	8	406	156	99	89	81	8	529
Makoto Kiji Japan	9	285 0.7×	156 1.0×	73 0.7×	30 0.3×	59 0.7×	9	427
Andrea Dezerega Chile	12	558 1.4×	129 0.8×	189 1.9×	93 1.0×	84 1.0×	13	759
Beral Afacan Türkiye	12	567 1.4×	231 1.5×	151 1.5×	113 1.3×	92 1.1×	32	800
Cem Uygur Türkiye	6	193 0.5×	123 0.8×	72 0.7×	123 1.4×	60 0.7×	6	402
Anne Havemose‐Poulsen Denmark	10	302 0.7×	85 0.5×	44 0.4×	46 0.5×	53 0.7×	14	501
Y. Ding Finland	8	219 0.5×	86 0.6×	56 0.6×	65 0.7×	55 0.7×	8	370
Kitti Torrungruang Thailand	13	379 0.9×	142 0.9×	97 1.0×	20 0.2×	134 1.7×	21	581
E. Andersen Switzerland	14	495 1.2×	114 0.7×	173 1.7×	133 1.5×	67 0.8×	16	662
Ihachi Kato Japan	10	205 0.5×	77 0.5×	38 0.4×	56 0.6×	33 0.4×	29	348
S. Aitken Canada	6	458 1.1×	40 0.3×	109 1.1×	132 1.5×	150 1.9×	6	537

Countries citing papers authored by Buket Han

Since Specialization

Citations

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

Fields of papers citing papers by Buket Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buket Han

This figure shows the co-authorship network connecting the top 25 collaborators of Buket Han. A scholar is included among the top collaborators of Buket Han 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 Buket Han. Buket Han 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

Leppilahti, Jussi, Timo Sorsa, Taina Tervahartiala, et al.. (2015). The Utility of Gingival Crevicular Fluid Matrix Metalloproteinase‐8 Response Patterns in Prediction of Site‐Level Clinical Treatment Outcome. Journal of Periodontology. 86(6). 777–787. 48 indexed citations

Öztürk, Veli Özgen, et al.. (2014). Gingival crevicular fluid interleukin-36β (-1F8), interleukin-36γ (-1F9) and interleukin-33 (-1F11) levels in different periodontal disease. Archives of Oral Biology. 60(1). 77–83. 28 indexed citations

Emingil, Gülnur, Buket Han, Ali Gürkan, et al.. (2013). Matrix Metalloproteinase (MMP)‐8 and Tissue Inhibitor of MMP‐1 (TIMP‐1) Gene Polymorphisms in Generalized Aggressive Periodontitis: Gingival Crevicular Fluid MMP‐8 and TIMP‐1 Levels and Outcome of Periodontal Therapy. Journal of Periodontology. 85(8). 1070–1080. 28 indexed citations

Emingil, Gülnur, Buket Han, Güven Özdemir, et al.. (2012). Effect of azithromycin, as an adjunct to nonsurgical periodontal treatment, on microbiological parameters and gingival crevicular fluid biomarkers in generalized aggressive periodontitis. Journal of Periodontal Research. 47(6). 729–739. 48 indexed citations

Han, Buket, Gülnur Emingil, Güven Özdemir, et al.. (2012). Azithromycin as an Adjunctive Treatment of Generalized Severe Chronic Periodontitis: Clinical, Microbiologic, and Biochemical Parameters. Journal of Periodontology. 83(12). 1480–1491. 50 indexed citations

Bostancı, Nagihan, Gülnur Emingil, Beral Afacan, et al.. (2008). Tumor Necrosis Factor-α-converting Enzyme (TACE) Levels in Periodontal Diseases. Journal of Dental Research. 87(3). 273–277. 45 indexed citations

Bostancı, Nagihan, Tunç İlgenli, Gülnur Emingil, et al.. (2007). Gingival crevicular fluid levels of RANKL and OPG in periodontal diseases: implications of their relative ratio. Journal Of Clinical Periodontology. 34(5). 370–376. 206 indexed citations

Bostancı, Nagihan, Tunç İlgenli, Gülnur Emingil, et al.. (2006). Differential expression of receptor activator of nuclear factor‐κB ligand and osteoprotegerin mRNA in periodontal diseases. Journal of Periodontal Research. 42(4). 287–293. 76 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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