Kim O. Learned

937 citations
38 papers · 553 indexed · h-index 13

Impact in

    • Sinusitis and nasal conditions
    • Head and Neck Cancer Studies
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Kim O. Learned

33 papers receiving 542 citations

Peers

Kim O. Learned
Comparison fields: 5 of 60
  • Otorhinolaryngology 114
  • Genetics 111
  • Neurology 107
  • Surgery 277
  • Epidemiology 193
Replace S. Nagda with:
S. Nagda United States
Nelson Moussazadeh United States
Mitesh V. Shah United States
G. Papaefthymiou Austria
Sacit Bulent Omay United States
Abhay Sanan United States
Salvador Somaza United States
Uwe Berner Germany
Manoel Antônio de Paiva Neto Brazil
Je Beom Hong South Korea
Kim O. Learned relative to S. Nagda United States S. Nagda's profile →
Citations per field
00.5×2.6×
S. Nagda · 1×
Citations per year

Countries citing papers authored by Kim O. Learned

Since Specialization
Citations

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

Fields of papers citing papers by Kim O. Learned

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim O. Learned. 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 Kim O. Learned. The network helps show where Kim O. Learned may publish in the future.

Co-authors

The 25 scholars most cited alongside Kim O. Learned, 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 Kim O. Learned Line = papers co-authored together Kim O. Learned links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20242
5 202412
6 20241
7 20230
8 20234
9 20231
10 20221
11 20214
12 201683
13 20150
14 201412
15 201326
16 20137
17 201212
18 201232
19 201222
20 201213

About Kim O. Learned

Kim O. Learned is a scholar working on Otorhinolaryngology, Health Informatics, Surgery, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 38 papers that have together received 553 indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (17 papers), Meningioma and schwannoma management (10 papers), Head and Neck Cancer Studies (6 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers), Bone Tumor Diagnosis and Treatments (5 papers), Sinusitis and nasal conditions (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Otorhinolaryngology (114 citations), Genetics (111 citations), Neurology (107 citations), Surgery (277 citations) and Epidemiology (193 citations). Kim O. Learned has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Laurie A. Loevner, Jason G. Newman, John Y. K. Lee, James N. Palmer, John Y. Lee, Sunil Singhal, J. Thomas Pierce, Ryan Zeh, María Martínez-Lage and Linda J. Bagley. Their work appears in journals such as American Journal of Neuroradiology, Radiographics, Neuroimaging Clinics of North America, Head & Neck and The Laryngoscope.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026