David Elashoff

5.6k total citations · 1 hit paper
88 papers, 4.1k citations indexed

About

David Elashoff is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, David Elashoff has authored 88 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 17 papers in Surgery and 17 papers in Molecular Biology. Recurrent topics in David Elashoff's work include Salivary Gland Disorders and Functions (8 papers), Head and Neck Cancer Studies (7 papers) and Cancer-related molecular mechanisms research (7 papers). David Elashoff is often cited by papers focused on Salivary Gland Disorders and Functions (8 papers), Head and Neck Cancer Studies (7 papers) and Cancer-related molecular mechanisms research (7 papers). David Elashoff collaborates with scholars based in United States, Germany and United Kingdom. David Elashoff's co-authors include David T. Wong, Jianghua Wang, Elliot Abemayor, Shen Hu, Joseph A. Loo, Xiaofeng Zhou, Uttam K. Sinha, Maie A.R. St. John, Hui Zhou and James J. Farrell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

David Elashoff

85 papers receiving 3.9k citations

Hit Papers

Variations of oral microb... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
David Elashoff 1.3k 1.0k 897 713 684 88 4.1k
Joseph Katz 1.0k 0.8× 516 0.5× 552 0.6× 299 0.4× 1.6k 2.4× 189 4.5k
Tzy‐Jyun Yao 1.0k 0.8× 936 0.9× 287 0.3× 458 0.6× 117 0.2× 63 3.7k
Bernd Kremer 912 0.7× 2.0k 2.0× 390 0.4× 1.8k 2.5× 117 0.2× 157 5.1k
Terry A. Day 1.7k 1.3× 2.4k 2.4× 645 0.7× 2.5k 3.5× 917 1.3× 188 7.8k
Lennart Friis‐Hansen 1.8k 1.4× 715 0.7× 408 0.5× 1.1k 1.5× 52 0.1× 149 4.6k
Tristan Grogan 897 0.7× 902 0.9× 276 0.3× 975 1.4× 66 0.1× 228 4.6k
Hal G. Bingham 663 0.5× 1.1k 1.1× 491 0.5× 1.2k 1.7× 67 0.1× 396 4.7k
Weg M. Ongkeko 1.6k 1.2× 1.2k 1.2× 375 0.4× 218 0.3× 54 0.1× 93 3.3k
Chris Andrews 827 0.6× 379 0.4× 284 0.3× 176 0.2× 499 0.7× 151 3.5k
Anurag Srivastava 1.4k 1.0× 835 0.8× 71 0.1× 661 0.9× 129 0.2× 199 3.6k

Countries citing papers authored by David Elashoff

Since Specialization
Citations

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

Fields of papers citing papers by David Elashoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Elashoff

This figure shows the co-authorship network connecting the top 25 collaborators of David Elashoff. A scholar is included among the top collaborators of David Elashoff 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 Elashoff. David Elashoff 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.
Elashoff, David, et al.. (2024). Improved Survival of Advanced‐Stage Anaplastic Thyroid Cancer With Systemic Therapy. The Laryngoscope. 135(1). 478–484. 3 indexed citations
2.
Márquez‐Garbán, Diana C., David Elashoff, Nalo Hamilton, et al.. (2024). Manuka Honey Inhibits Human Breast Cancer Progression in Preclinical Models. Nutrients. 16(14). 2369–2369. 5 indexed citations
3.
Velez, Maria A., Beth A. Glenn, Amy L. Cummings, et al.. (2023). Consent document translation expense hinders inclusive clinical trial enrolment. Nature. 620(7975). 855–862. 11 indexed citations
4.
Reinier, Kyndaron, Harpriya Chugh, Audrey Uy‐Evanado, et al.. (2023). Warning symptoms associated with imminent sudden cardiac arrest: a population-based case-control study with external validation. The Lancet Digital Health. 5(11). e763–e773. 10 indexed citations
5.
Kaczor‐Urbanowicz, Karolina Elżbieta, Tristan Grogan, Feng Li, et al.. (2022). Performance of Salivary Extracellular RNA Biomarker Panels for Gastric Cancer Differs between Distinct Populations. Cancers. 14(15). 3632–3632. 7 indexed citations
7.
Chugh, Sumeet S., Kyndaron Reinier, Audrey Uy‐Evanado, et al.. (2022). Prediction of Sudden Cardiac Death Manifesting With Documented Ventricular Fibrillation or Pulseless Ventricular Tachycardia. JACC. Clinical electrophysiology. 8(4). 411–423. 30 indexed citations
8.
Hu‐Lieskovan, Siwen, Aaron Lisberg, Jesse M. Zaretsky, et al.. (2019). Tumor Characteristics Associated with Benefit from Pembrolizumab in Advanced Non–Small Cell Lung Cancer. Clinical Cancer Research. 25(16). 5061–5068. 56 indexed citations
9.
Pavel, Ana B., Joshua D. Campbell, Gang Liu, et al.. (2017). Alterations in Bronchial Airway miRNA Expression for Lung Cancer Detection. Cancer Prevention Research. 10(11). 651–659. 36 indexed citations
10.
Zhang, Yong, Jie Sun, Feng Li, et al.. (2017). Salivary extracellular RNA biomarkers for insulin resistance detection in hispanics. Diabetes Research and Clinical Practice. 132. 85–94. 6 indexed citations
11.
Apostolova, Liana G., et al.. (2016). Effect of Brain Amyloidosis on the Emergence of Neuropsychiatric Behaviors in MCI over Time (P2.232). Neurology. 86(16_supplement). 2 indexed citations
12.
Lin, Tony, Jane Yanagawa, Gerald Wang, et al.. (2014). Risk stratification of patients undergoing pulmonary metastasectomy for soft tissue and bone sarcomas. Journal of Thoracic and Cardiovascular Surgery. 149(1). 85–92. 46 indexed citations
13.
Peng, Kevin A., Alan Chu, Chi Lai, et al.. (2014). Is there a role for neck dissection in T1 oral tongue squamous cell carcinoma? The UCLA experience. American Journal of Otolaryngology. 35(6). 741–746. 27 indexed citations
15.
DeConde, Adam S., Mia E. Miller, Chi Lai, et al.. (2012). Squamous cell carcinoma of buccal mucosa: a 40-year review. American Journal of Otolaryngology. 33(6). 673–677. 28 indexed citations
16.
Mao, Jenny T., Michael D. Roth, Michael C. Fishbein, et al.. (2011). Lung Cancer Chemoprevention with Celecoxib in Former Smokers. Cancer Prevention Research. 4(7). 984–993. 65 indexed citations
17.
Gomperts, Brigitte N., Avrum Spira, David Elashoff, & Steven M. Dubinett. (2010). Lung Cancer Biomarkers: FISHing in the Sputum for Risk Assessment and Early Detection. Cancer Prevention Research. 3(4). 420–423. 6 indexed citations
18.
Garon, Edward B., Richard S. Finn, Wylie Hosmer, et al.. (2010). Identification of Common Predictive Markers of In vitro Response to the Mek Inhibitor Selumetinib (AZD6244; ARRY-142886) in Human Breast Cancer and Non–Small Cell Lung Cancer Cell Lines. Molecular Cancer Therapeutics. 9(7). 1985–1994. 49 indexed citations
19.
Hu, Shen, Martha Arellano, Pinmanee Boontheung, et al.. (2008). Salivary Proteomics for Oral Cancer Biomarker Discovery. Clinical Cancer Research. 14(19). 6246–6252. 425 indexed citations
20.
Reber, Howard A., Sarah Dry, David Elashoff, et al.. (2006). Unfavourable prognosis associated with K-ras gene mutation in pancreatic cancer surgical margins. Gut. 55(11). 1598–1605. 78 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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