David Akin

2.0k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

David Akin is a scholar working on Physiology, Surgery and Otorhinolaryngology. According to data from OpenAlex, David Akin has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Surgery and 4 papers in Otorhinolaryngology. Recurrent topics in David Akin's work include Salivary Gland Disorders and Functions (7 papers), Head and Neck Cancer Studies (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). David Akin is often cited by papers focused on Salivary Gland Disorders and Functions (7 papers), Head and Neck Cancer Studies (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). David Akin collaborates with scholars based in United States, South Korea and Puerto Rico. David Akin's co-authors include David T. Wong, David Chia, Lei Zhang, David Elashoff, David Elashoff, Kaumudi Joshipura, Hui Zhou, James J. Farrell, Bruce J. Paster and Hui Zhou and has published in prestigious journals such as Gastroenterology, PLoS ONE and Cancer Research.

In The Last Decade

David Akin

9 papers receiving 1.3k citations

Hit Papers

Variations of oral microbiota are associated with pancrea... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Akin United States 7 638 456 408 307 262 10 1.3k
Carlos Alberto de Carvalho Fraga Brazil 18 323 0.5× 59 0.1× 69 0.2× 176 0.6× 209 0.8× 58 796
Sanjun Cai China 7 662 1.0× 75 0.2× 69 0.2× 274 0.9× 178 0.7× 8 960
Betty Tong United States 11 417 0.7× 113 0.2× 56 0.1× 252 0.8× 116 0.4× 16 1.1k
Xinmin Yan United States 10 351 0.6× 81 0.2× 103 0.3× 65 0.2× 86 0.3× 15 594
Taiki Suzuki Japan 16 286 0.4× 51 0.1× 25 0.1× 113 0.4× 50 0.2× 64 966
Bo Liao China 24 262 0.4× 773 1.7× 12 0.0× 77 0.3× 129 0.5× 57 1.8k
Masaru Ohashi Japan 17 254 0.4× 70 0.2× 63 0.2× 163 0.5× 48 0.2× 62 727
Ernesto De Nardin United States 11 220 0.3× 112 0.2× 776 1.9× 89 0.3× 44 0.2× 22 1.2k
Ilinca Nicolae Romania 13 174 0.3× 31 0.1× 81 0.2× 116 0.4× 89 0.3× 45 568
Mark A. Jagels United States 16 283 0.4× 125 0.3× 21 0.1× 73 0.2× 71 0.3× 22 1.0k

Countries citing papers authored by David Akin

Since Specialization
Citations

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

Fields of papers citing papers by David Akin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Akin

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

All Works

10 of 10 papers shown
1.
Grogan, Tristan, Wei Bin Fang, Nabihah Tayob, et al.. (2024). Distinctive profile of monomeric and polymeric anti-SSA/Ro52 immunoglobulin A1 isoforms in saliva of patients with primary Sjögren’s syndrome and Sicca. RMD Open. 10(2). e003666–e003666. 2 indexed citations
2.
Akin, David, et al.. (2023). Prognostic and predictive significance of GITR in metastatic renal cell carcinoma.. PubMed. 27(16). 7781–7792. 1 indexed citations
3.
Ishikawa, Shigeo, David T. Wong, Masahiro Sugimoto, et al.. (2018). Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions. Clinical Oral Investigations. 23(9). 3557–3563. 35 indexed citations
4.
Stewart, Tessandra, Luis F. Gonzalez‐Cuyar, David T. Wong, et al.. (2013). Cheek cell–derived α-synuclein and DJ-1 do not differentiate Parkinson's disease from control. Neurobiology of Aging. 35(2). 418–420. 26 indexed citations
5.
Xiao, Hua, Hui Zhou, Silverio Santiago, et al.. (2012). Development of transcriptomic biomarker signature in human saliva to detect lung cancer. Cellular and Molecular Life Sciences. 69(19). 3341–3350. 132 indexed citations
6.
Farrell, James J., Lei Zhang, Hui Zhou, et al.. (2011). Variations of oral microbiota are associated with pancreatic diseases including pancreatic cancer. Gut. 61(4). 582–588. 502 indexed citations breakdown →
7.
Brinkmann, O, Dragana Kastratović, Milovan Dimitrijević, et al.. (2010). Oral squamous cell carcinoma detection by salivary biomarkers in a Serbian population. Oral Oncology. 47(1). 51–55. 128 indexed citations
8.
Zhang, Lei, Hua Xiao, Scott Karlan, et al.. (2010). Discovery and Preclinical Validation of Salivary Transcriptomic and Proteomic Biomarkers for the Non-Invasive Detection of Breast Cancer. PLoS ONE. 5(12). e15573–e15573. 217 indexed citations
9.
Zhang, Lei, Hua Xiao, Scott Karlan, et al.. (2010). Abstract 2726: Salivary biomarkers for breast cancer detection. Cancer Research. 70(8_Supplement). 2726–2726.
10.
Zhang, Lei, James J. Farrell, Hui Zhou, et al.. (2009). Salivary Transcriptomic Biomarkers for Detection of Resectable Pancreatic Cancer. Gastroenterology. 138(3). 949–957.e7. 253 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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