David K. Lerner

39 papers receiving 376 citations

Peers

David K. Lerner
Comparison fields: 5 of 74
  • Health Informatics 14
  • Otorhinolaryngology 38
  • Sensory Systems 44
  • Endocrinology, Diabetes and Metabolism 82
  • Marketing 49
Replace Rahul K. Sharma with:
Rahul K. Sharma United States
R. G. Williams United Kingdom
Judith van der Voort United Kingdom
Robbie Woods Ireland
Richard Nelson United States
Keith Richardson Canada
Jonathan Yip Canada
Lichuan Zhang China
Sang‐Yeon Kim South Korea
Rebecca Griffiths Canada
David K. Lerner relative to Rahul K. Sharma United States Rahul K. Sharma's profile →
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Citations per year

Countries citing papers authored by David K. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by David K. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David K. Lerner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David K. Lerner Line = papers co-authored together David K. Lerner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197984
2 201954
3 202139
4 201838
5 201918
6 202017
7 201912
8 202311
9 202310
10 202010
11 20199
12 20238
13 20197
14 20217
15 20237
16 20235
17 20165
18 20235
19 20224
20 20244

About David K. Lerner

David K. Lerner is a scholar working on Surgery, Otorhinolaryngology, Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 391 indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (11 papers), Sinusitis and nasal conditions (9 papers), Pituitary Gland Disorders and Treatments (6 papers), Meningioma and schwannoma management (5 papers), Olfactory and Sensory Function Studies (3 papers), Nasal Surgery and Airway Studies (3 papers), Patient Satisfaction in Healthcare (2 papers) and Clinical practice guidelines implementation (2 papers). The work is most often cited by research in Health Informatics (14 citations), Otorhinolaryngology (38 citations), Sensory Systems (44 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Marketing (49 citations). David K. Lerner has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Yoram Wind, James N. Palmer, Nithin D. Adappa, Phillip B. Storm, Arjun K. Parasher, Alfred Marc Iloreta, Michael A. Kohanski, Alan D. Workman, Jennifer E. Douglas and Arastoo Vossough. Their work appears in journals such as International Forum of Allergy & Rhinology, The Laryngoscope, American Journal of Rhinology and Allergy, Otology & Neurotology and American Journal of Otolaryngology.

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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