Arja M. Kullaa

1.4k total citations
68 papers, 1.0k citations indexed

About

Arja M. Kullaa is a scholar working on Periodontics, Molecular Biology and Physiology. According to data from OpenAlex, Arja M. Kullaa has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Periodontics, 18 papers in Molecular Biology and 18 papers in Physiology. Recurrent topics in Arja M. Kullaa's work include Oral Health Pathology and Treatment (20 papers), Salivary Gland Disorders and Functions (17 papers) and Oral microbiology and periodontitis research (15 papers). Arja M. Kullaa is often cited by papers focused on Oral Health Pathology and Treatment (20 papers), Salivary Gland Disorders and Functions (17 papers) and Oral microbiology and periodontitis research (15 papers). Arja M. Kullaa collaborates with scholars based in Finland, Netherlands and United States. Arja M. Kullaa's co-authors include Jopi J. W. Mikkonen, Eero Kerosuo, Heidi Kerosuo, Sami Myllymaa, Arne Hensten‐Pettersen, Lasse Kanerva, Reijo Lappalainen, Surya Pratap Singh, Arto Koistinen and Bina Kashyap and has published in prestigious journals such as Optics Express, IEEE Access and Sensors.

In The Last Decade

Arja M. Kullaa

65 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arja M. Kullaa Finland 18 298 289 264 147 114 68 1.0k
Janete Días Almeida Brazil 19 335 1.1× 292 1.0× 120 0.5× 309 2.1× 64 0.6× 127 1.2k
Luciana Reis de Azevedo Brazil 11 314 1.1× 153 0.5× 440 1.7× 97 0.7× 82 0.7× 21 980
Ok‐Su Kim South Korea 16 234 0.8× 140 0.5× 88 0.3× 167 1.1× 118 1.0× 69 813
Ana Lia Anbinder Brazil 20 353 1.2× 299 1.0× 83 0.3× 179 1.2× 52 0.5× 82 1.2k
Subhas Babu India 17 255 0.9× 158 0.5× 189 0.7× 143 1.0× 35 0.3× 171 880
Xingqun Cheng China 13 503 1.7× 227 0.8× 228 0.9× 64 0.4× 79 0.7× 28 880
J Procházková Czechia 13 415 1.4× 162 0.6× 82 0.3× 82 0.6× 66 0.6× 48 961
Štěpán Podzimek Czechia 12 505 1.7× 157 0.5× 119 0.5× 101 0.7× 67 0.6× 27 890
Giuseppina Nocca Italy 23 81 0.3× 370 1.3× 108 0.4× 174 1.2× 226 2.0× 64 1.1k
Giuseppe Spoto Italy 19 320 1.1× 227 0.8× 114 0.4× 410 2.8× 97 0.9× 58 1.0k

Countries citing papers authored by Arja M. Kullaa

Since Specialization
Citations

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

Fields of papers citing papers by Arja M. Kullaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arja M. Kullaa. 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 Arja M. Kullaa. The network helps show where Arja M. Kullaa may publish in the future.

Co-authorship network of co-authors of Arja M. Kullaa

This figure shows the co-authorship network connecting the top 25 collaborators of Arja M. Kullaa. A scholar is included among the top collaborators of Arja M. Kullaa 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 Arja M. Kullaa. Arja M. Kullaa 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.
González‐Arriagada, Wilfredo Alejandro, Tuula Salo, Márcio Ajudarte Lopes, et al.. (2025). Radiation-induced changes in salivary metabolite profile and pathways in head and neck cancer patients. Clinical Oral Investigations. 29(3). 145–145.
2.
Lavrinienko, Anton, Leo Tjäderhane, A Nissinen, et al.. (2025). Oral microbiome diversity associates with carotid intima media thickness in middle-aged male subjects. Communications Medicine. 5(1). 66–66. 2 indexed citations
3.
Kashyap, Bina, et al.. (2024). Candida albicans Induces Oral Microbial Dysbiosis and Promotes Oral Diseases. Microorganisms. 12(11). 2138–2138. 7 indexed citations
4.
Kashyap, Bina, et al.. (2024). Salivary metabolomics in patients with oral lichen planus: a preliminary study based on NMR spectroscopy. Clinical Oral Investigations. 28(1). 103–103. 3 indexed citations
5.
Kashyap, Bina, et al.. (2023). Oral Sources of Salivary Metabolites. Metabolites. 13(4). 498–498. 15 indexed citations
6.
Solje, Eino, et al.. (2023). Salivary Metabolomics in the Diagnosis and Monitoring of Neurodegenerative Dementia. Metabolites. 13(2). 233–233. 7 indexed citations
7.
Turunen, Mikael J., et al.. (2022). Molecular Quantity Variations in Human-Mandibular-Bone Osteoid. Calcified Tissue International. 111(6). 547–558. 1 indexed citations
8.
Schulten, E.A.J.M., et al.. (2022). Osteocyte Apoptosis, Bone Marrow Adiposity, and Fibrosis in the Irradiated Human Mandible. Advances in Radiation Oncology. 7(4). 100951–100951. 10 indexed citations
9.
Mikkonen, Jopi J. W., Emilia Uurasjärvi, E.A.J.M. Schulten, et al.. (2022). Irradiation Induced Biochemical Changes in Human Mandibular Bone: A Raman Spectroscopic Study. Applied Spectroscopy. 76(10). 1165–1173. 3 indexed citations
10.
Kashyap, Bina, Jopi J. W. Mikkonen, Tulika Bhardwaj, et al.. (2022). Effect of smoking on MUC1 expression in oral epithelial dysplasia, oral cancer, and irradiated oral epithelium. Archives of Oral Biology. 142. 105525–105525. 5 indexed citations
11.
Lavrinienko, Anton, A Nissinen, Chunguang Wang, et al.. (2021). Compensatory IgM to the Rescue: Patients with Selective IgA Deficiency Have Increased Natural IgM Antibodies to MAA–LDL and No Changes in Oral Microbiota. ImmunoHorizons. 5(4). 170–181. 6 indexed citations
12.
Kullaa, Arja M., et al.. (2020). Oral and Dental Spectral Image Database—ODSI-DB. Applied Sciences. 10(20). 7246–7246. 25 indexed citations
13.
Puurunen, Jenni, Seppo Auriola, Arja M. Kullaa, et al.. (2020). Metabolome of canine and human saliva: a non-targeted metabolomics study. Metabolomics. 16(9). 90–90. 24 indexed citations
14.
Schulten, E.A.J.M., et al.. (2020). Bone microarchitecture and turnover in the irradiated human mandible. Journal of Cranio-Maxillofacial Surgery. 48(8). 733–740. 5 indexed citations
15.
Schulten, E.A.J.M., et al.. (2019). Narrowband-autofluorescence imaging for bone analysis. Biomedical Optics Express. 10(5). 2367–2367. 6 indexed citations
16.
Tomppo, Laura, et al.. (2019). Bioimpedance spectroscopy and spectral camera techniques in detection of oral mucosal diseases: a narrative review of the state-of-the-art. Journal of Medical Engineering & Technology. 43(8). 474–491. 10 indexed citations
17.
Asikainen, Pekka, Jopi J. W. Mikkonen, Surya Pratap Singh, et al.. (2015). Microplicae – Specialized Surface Structure of Epithelial Cells of Wet-Surfaced Oral Mucosa. Ultrastructural Pathology. 39(5). 299–305. 18 indexed citations
18.
Kullaa, Arja M., et al.. (2014). Microstructure of Oral Epithelial Cells as an Underlying Basis for Salivary Mucosal Pellicle. Ultrastructural Pathology. 38(6). 382–386. 22 indexed citations
19.
Asikainen, Pekka, et al.. (2012). The defence architecture of the superficial cells of the oral mucosa. Medical Hypotheses. 78(6). 790–792. 28 indexed citations
20.
Asikainen, Pekka, Esa Klemetti, R Kotilainen, et al.. (1998). Osseointegration of dental implants in bone irradiated with 40, 50 or 60 Gy doses. An experimental study with beagle dogs.. Clinical Oral Implants Research. 9(1). 20–25. 34 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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