Miriam Redleaf

59 papers receiving 540 citations

Peers

Miriam Redleaf
Comparison fields: 5 of 76
  • Otorhinolaryngology 184
  • Sensory Systems 92
  • Neurology 62
  • Cognitive Neuroscience 94
  • Neurology 60
Replace Francesco Freni with:
Francesco Freni Italy
José Ricardo Gurgel Testa Brazil
Darius Kohan United States
Mao-Che Wang Taiwan
Francesco Gazia Italy
Tzong‐Yang Tu Taiwan
O Greisen Denmark
John C. Mason United States
Anand V. Kasbekar United Kingdom
Mete Kıroğlu Türkiye
Miriam Redleaf relative to Francesco Freni Italy Francesco Freni's profile →
Citations per field
00.5×2×3×4×4.6×
Francesco Freni · 1×
Citations per year

Countries citing papers authored by Miriam Redleaf

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Redleaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201485
2 200335
3 200133
4 201527
5 201926
6 201424
7
Diatrizoate and dextran treatment of sudden sensorineural hearing loss.
199524
8 199320
9 199416
10 199316
11 201915
12 201615
13 199415
14 199314
15 199613
16 199413
17 201412
18 199411
19
Spiral ganglion cell survival in labyrinthitis ossificans: computerized image analysis.
199510
20 20199

About Miriam Redleaf

Miriam Redleaf is a scholar working on Otorhinolaryngology, Surgery, Epidemiology, Neurology and Cognitive Neuroscience, having authored 69 papers that have together received 577 indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (29 papers), Hearing Loss and Rehabilitation (7 papers), Ear and Head Tumors (6 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers), Vestibular and auditory disorders (6 papers), Meningioma and schwannoma management (6 papers), Facial Nerve Paralysis Treatment and Research (6 papers) and Head and Neck Surgical Oncology (4 papers). The work is most often cited by research in Otorhinolaryngology (184 citations), Sensory Systems (92 citations), Neurology (62 citations), Cognitive Neuroscience (94 citations) and Neurology (60 citations). Miriam Redleaf has collaborated with scholars based in United States, Ethiopia and Brazil. Frequent co-authors include Brian F. McCabe, Carol A. Bauer, Alemayehu Worku, Richard R. Blough, Raúl Hinojosa, Bruce J. Gantz, Henry T. Hoffman, David Schramm, Stephen A. Lerner and Erik G. Nelson. Their work appears in journals such as Annals of Otology Rhinology & Laryngology, The Journal of Laryngology & Otology, The Laryngoscope, Otology & Neurotology and 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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