Anna See

39 papers receiving 770 citations

Anna See's Hit Papers

Prognosis and persistence of smell and taste dysfunction in patients with covid-19: meta-analysis with parametric cure modelling of recovery curves 2022 · 156 citations
1560+1+2Years since publication50100150

Peers

Anna See
Comparison fields: 5 of 73
  • Sensory Systems 156
  • Genetics 199
  • Endocrine and Autonomic Systems 41
  • Otorhinolaryngology 24
  • Physiology 142
Replace Anita S. Jeyakumar with:
Anita S. Jeyakumar United States
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Matthew Georgenson Drake United States
Yavuz Selim Yıldırım Türkiye
Abdullah Ayçiçek Türkiye
Osman Kürşat Arıkan Türkiye
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Tae‐Bin Won South Korea
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Anna See relative to Anita S. Jeyakumar United States Anita S. Jeyakumar's profile →
Citations per field
00.5×2×3×4.2×
Anita S. Jeyakumar · 1×
Citations per year

Countries citing papers authored by Anna See

Since Specialization
Citations

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

Fields of papers citing papers by Anna See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992219
2
Prognosis and persistence of smell and taste dysfunction in patients with covid-19: meta-analysis with parametric cure modelling of recovery curves
Hit paper breakdown →
2022156
3 202153
4 202230
5 202129
6 202327
7 199827
8 202225
9 202324
10 202218
11 202116
12 202216
13 202014
14 201714
15 202313
16 202111
17 202211
18 202211
19 20198
20 20228

About Anna See

Anna See is a scholar working on Otorhinolaryngology, Physiology, Sensory Systems, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 787 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (13 papers), Head and Neck Cancer Studies (9 papers), Olfactory and Sensory Function Studies (6 papers), Tracheal and airway disorders (4 papers), Infection Control and Ventilation (2 papers), Thyroid and Parathyroid Surgery (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Respiratory viral infections research (1 paper). The work is most often cited by research in Sensory Systems (156 citations), Genetics (199 citations), Endocrine and Autonomic Systems (41 citations), Otorhinolaryngology (24 citations) and Physiology (142 citations). Anna See has collaborated with scholars based in Singapore, Taiwan and United States. Frequent co-authors include Song Tar Toh, Benjamin Kye Jyn Tan, Nicole Kye Wen Tan, Yao Hao Teo, Dominic Wei Ting Yap, J Y Mary, Éric Lerebours, B. Landi, R Modigliani and J C Soule. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, Otolaryngology, American Journal of Otolaryngology, Oral Oncology and Head & Neck.

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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