Brian Yu

60 papers receiving 2.2k citations

Hit Papers

Prospective Randomized Study of Intensity-Modulated Radiotherapy on Salivary Gland Function in Early-Stage Nasopharyngeal Carcinoma Patients 2007 · 544 citations
5442007202620132019100200300400500

Peers

Brian Yu
Comparison fields: 5 of 121
  • Otorhinolaryngology 1.1k
  • Applied Microbiology and Biotechnology 191
  • Molecular Medicine 414
  • Pharmacology 378
  • Critical Care and Intensive Care Medicine 110
Replace Alberto Terzi with:
Alberto Terzi Italy
Ji Yun Lee South Korea
Francesco Ardito Italy
Alexandra Rousseau France
Li Xu United States
Kuan‐Yu Chen Taiwan
Imjai Chitapanarux Thailand
Don M. Morris United States
Lucie Biard France
Eli Muchtar United States
Brian Yu relative to Alberto Terzi Italy Alberto Terzi's profile →
Citations per field
00.5×10×20×30×40×49×
Alberto Terzi · 1×
Citations per year

Countries citing papers authored by Brian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Brian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prospective Randomized Study of Intensity-Modulated Radiotherapy on Salivary Gland Function in Early-Stage Nasopharyngeal Carcinoma Patients
Hit paper breakdown →
2007544
2 2008406
3 2019230
4 2016106
5 201199
6 201283
7 201759
8 202052
9 200948
10 202042
11 201738
12 201833
13 200833
14 201130
15 202229
16 202127
17 202126
18 201023
19 201721
20 200720

About Brian Yu

Brian Yu is a scholar working on Epidemiology, Molecular Medicine, Pharmacology, Surgery and Otorhinolaryngology, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Pneumonia and Respiratory Infections (12 papers), Head and Neck Cancer Studies (11 papers), Nosocomial Infections in ICU (7 papers), Head and Neck Surgical Oncology (6 papers), Teaching and Learning Programming (3 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Otorhinolaryngology (1.1k citations), Applied Microbiology and Biotechnology (191 citations), Molecular Medicine (414 citations), Pharmacology (378 citations) and Critical Care and Intensive Care Medicine (110 citations). Brian Yu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Anthony T.�C. Chan, Frankie Mo, Michael K. M. Kam, Benny Zee, Samuel K.W. Chiu, W. H. Kwan, Rosalie Ho, Edwin P. Hui, Brigette Ma and Ann D. King. Their work appears in journals such as Journal of Clinical Oncology, Journal of Antimicrobial Chemotherapy, Critical Care, Otolaryngology and Annals of Oncology.

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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