David G. Lott

2.9k total citations · 1 hit paper
104 papers, 1.6k citations indexed

About

David G. Lott is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Physiology. According to data from OpenAlex, David G. Lott has authored 104 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Pulmonary and Respiratory Medicine, 44 papers in Surgery and 29 papers in Physiology. Recurrent topics in David G. Lott's work include Tracheal and airway disorders (42 papers), Voice and Speech Disorders (28 papers) and Dysphagia Assessment and Management (17 papers). David G. Lott is often cited by papers focused on Tracheal and airway disorders (42 papers), Voice and Speech Disorders (28 papers) and Dysphagia Assessment and Management (17 papers). David G. Lott collaborates with scholars based in United States, Israel and Australia. David G. Lott's co-authors include Charles H. Adler, Steven L. Goudy, John W. Canady, Michael L. Hinni, Robert R. Lorenz, Kenan Song, Brent L. Vernon, Yuxiang Zhu, Orit Shefi and Jeffrey L. Cornella and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and PEDIATRICS.

In The Last Decade

David G. Lott

93 papers receiving 1.6k citations

Hit Papers

3D printing for polymer/particle-based processing: A review 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David G. Lott United States 21 378 343 299 248 234 104 1.6k
Albert H. Park United States 24 383 1.0× 603 1.8× 135 0.5× 53 0.2× 315 1.3× 94 1.9k
Antoine J.W.P. Rosenberg Netherlands 28 176 0.5× 1.1k 3.3× 172 0.6× 119 0.5× 992 4.2× 96 2.8k
Roberto L. Flores United States 32 519 1.4× 1.1k 3.2× 161 0.5× 83 0.3× 548 2.3× 183 2.8k
Enrico Gherlone Italy 44 165 0.4× 846 2.5× 186 0.6× 152 0.6× 946 4.0× 231 5.6k
G. Bettega France 19 391 1.0× 398 1.2× 784 2.6× 56 0.2× 366 1.6× 91 1.7k
Christian Debry France 24 273 0.7× 680 2.0× 110 0.4× 162 0.7× 376 1.6× 103 1.6k
Jörg Handschel Germany 29 264 0.7× 1.0k 3.0× 159 0.5× 183 0.7× 1.2k 5.3× 97 3.5k
Joël Ferri France 27 168 0.4× 670 2.0× 155 0.5× 212 0.9× 175 0.7× 208 2.1k
Nicole Rotter Germany 32 364 1.0× 1.5k 4.4× 206 0.7× 61 0.2× 1.1k 4.6× 185 3.8k
Marcelo Coelho Goiato Brazil 38 138 0.4× 1.9k 5.6× 124 0.4× 308 1.2× 870 3.7× 340 5.1k

Countries citing papers authored by David G. Lott

Since Specialization
Citations

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

Fields of papers citing papers by David G. Lott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Lott

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Lott. A scholar is included among the top collaborators of David G. Lott 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 G. Lott. David G. Lott 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.
Zhang, Jianwei, Abdelmohaymin Abdalla, Adam J. Brown, et al.. (2025). 360 Using machine learning to analyze voice and detect aspiration. Journal of Clinical and Translational Science. 9(s1). 111–111.
2.
Amin, Milan R., Peter C. Belafsky, Simon R. Best, et al.. (2025). DNA Immunotherapy ( INO ‐3107) Results in Long‐Term Surgery Reduction in RRP. The Laryngoscope. 135(11). 4287–4295. 1 indexed citations
3.
Zacharias, Stephanie R. C., et al.. (2025). Strategic Development of a Larynx and Trachea Transplantation Program: The Mayo Clinic Arizona Experience. Clinical Transplantation. 39(3). e70126–e70126.
4.
Lott, David G., et al.. (2025). Advances and Challenges in Tracheal Epithelium Regeneration: Insights into Tissue Engineering Approaches. Cells Tissues Organs. 215(1). 56–80.
5.
Stein, Andrew P., David G. Lott, Urjeet A. Patel, et al.. (2025). Assessments of social vulnerability on laryngeal cancer treatment & prognosis in the US. British Journal of Cancer. 133(2). 248–254.
6.
Lott, David G., et al.. (2024). Protocol for the Implantation of Scaffolds in a Humanized Mouse Cutaneous Excisional Wound Healing Model. BIO-PROTOCOL. 14(1353). e4974–e4974. 1 indexed citations
7.
Mau, Ted, Milan R. Amin, Peter C. Belafsky, et al.. (2023). Interim Results of a Phase 1/2 Open‐Label Study of INO‐3107 for HPV‐6 and/or HPV‐11‐Associated Recurrent Respiratory Papillomatosis. The Laryngoscope. 133(11). 3087–3093. 21 indexed citations
8.
Lott, David G., et al.. (2022). Prognostic and Treatment Differences Between T1a and T1b Glottic Cancer. The Laryngoscope. 132(11). 2187–2193. 4 indexed citations
9.
Xu, Weiheng, Sayli Jambhulkar, Yuxiang Zhu, et al.. (2021). 3D printing for polymer/particle-based processing: A review. Composites Part B Engineering. 223. 109102–109102. 226 indexed citations breakdown →
10.
Xu, Weiheng, Sayli Jambhulkar, Dharneedar Ravichandran, et al.. (2021). 3D Printing‐Enabled Nanoparticle Alignment: A Review of Mechanisms and Applications. Small. 17(45). e2100817–e2100817. 114 indexed citations
11.
Neubauer, Juergen, et al.. (2021). High Speed Video Observations of Vocal Fold Kinematics While Playing a Clarinet. Journal of Voice. 38(1). 197–203. 1 indexed citations
12.
Haglin, Jack M., et al.. (2020). Medicare Reimbursement Trends for Facility Performed Otolaryngology Procedures: 2000–2019. The Laryngoscope. 131(3). 496–501. 34 indexed citations
13.
Parker, Noah P., et al.. (2020). KTP Laser Treatment of Early Glottic Cancer: A Multi-Institutional Retrospective Study. Annals of Otology Rhinology & Laryngology. 130(1). 47–55. 9 indexed citations
14.
Tchoukalova, Yourka D., et al.. (2020). The neurotrophic potential of human platelet lysate substitution for fetal bovine serum in glial induction culture medium. Neuroscience Letters. 730. 135025–135025. 4 indexed citations
15.
Howard, Brittany E., et al.. (2020). Assessing the Breadth of Laryngology Training in Otolaryngology Residency Programs. Journal of Voice. 35(6). 936.e9–936.e15. 6 indexed citations
16.
Lott, David G., et al.. (2020). Preoperative Voice Characteristics in Thyroid Patients. Journal of Voice. 35(5). 809.e1–809.e6. 5 indexed citations
17.
Lott, David G.. (2018). Biometrics: Modernising customer authentication for financial services and payments. Journal of payments strategy & systems. 12(4). 371–371. 1 indexed citations
18.
Gelbard, Alexander, Yu Shyr, Alexander T. Hillel, et al.. (2018). Treatment options in idiopathic subglottic stenosis: protocol for a prospective international multicentre pragmatic trial. BMJ Open. 8(4). e022243–e022243. 37 indexed citations
19.
Jaroszewski, Dawn E., et al.. (2016). Balloon dilation causing tracheal rupture: Endoscopic management and literature review. The Laryngoscope. 126(12). 2774–2777. 7 indexed citations
20.
Lott, David G., et al.. (2009). A new mouse laryngeal transplantation rejection grading system. The Laryngoscope. 120(1). 39–43. 4 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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