Nathan Tu

25 papers receiving 532 citations

Peers

Nathan Tu
Comparison fields: 5 of 77
  • Developmental Neuroscience 80
  • Otorhinolaryngology 48
  • Cellular and Molecular Neuroscience 200
  • Neurology 68
  • Sensory Systems 28
Replace Hideki Harada with:
Hideki Harada Japan
Shan Chen China
Haowu Jiang United States
Cecilia Dominguez Sweden
Lorenzo De Santi Italy
Tomohiro Oguchi Japan
Xiaoyan Luo China
Marcella Caggiula Italy
Romaric Saulnier France
Nathan Tu relative to Hideki Harada Japan Hideki Harada's profile →
Citations per field
00.5×6.9×
Hideki Harada · 1×
Citations per year

Countries citing papers authored by Nathan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 201177
3 201269
4 200969
5 201842
6 202122
7 202121
8 202020
9 201517
10 199316
11 201815
12 201913
13 201813
14 202011
15 20237
16 20187
17 20215
18 20223
19 20213
20 20203

About Nathan Tu

Nathan Tu is a scholar working on Otorhinolaryngology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 28 papers that have together received 538 indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (5 papers), Meningioma and schwannoma management (5 papers), Sinusitis and nasal conditions (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Respiratory and Cough-Related Research (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Platelet Disorders and Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Developmental Neuroscience (80 citations), Otorhinolaryngology (48 citations), Cellular and Molecular Neuroscience (200 citations), Neurology (68 citations) and Sensory Systems (28 citations). Nathan Tu has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Tih-Shih Lee, Tore Eid, James C. K. Lai, Rick A. Friedman, Stephen M. Strittmatter, Philip Duffy, William B.J. Cafferty, Xingxing Wang, Mark Henkemeyer and Chad Siegel. Their work appears in journals such as Otology & Neurotology, Cochrane Database of Systematic Reviews, Current Opinion in Otolaryngology & Head & Neck Surgery, JAMA Otolaryngology–Head & Neck Surgery and Laryngoscope Investigative 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.

Explore authors with similar magnitude of impact