Philip G. Chen

2.4k citations
76 papers · 1.7k indexed · h-index 18

Impact in

Papers in

Philip G. Chen

72 papers receiving 1.7k citations

Peers

Philip G. Chen
Comparison fields: 5 of 145
  • Otorhinolaryngology 258
  • Endocrinology, Diabetes and Metabolism 356
  • Medical Laboratory Technology 22
  • Genetics 131
  • Cancer Research 168
Replace Maximino Redondo with:
Maximino Redondo Spain
Jamal Zidan Israel
Eny Maria Goloni‐Bertollo Brazil
Raymond Li Hong Kong
Carmen Sílvia Passos Lima Brazil
Daniel Miller United States
Érika Cristina Pavarino Brazil
Yaoh‐Shiang Lin Taiwan
Michael Hier Canada
Ching‐Ting Tan Taiwan
Philip G. Chen relative to Maximino Redondo Spain Maximino Redondo's profile →
Citations per field
00.5×7.9×
Maximino Redondo · 1×
Citations per year

Countries citing papers authored by Philip G. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Philip G. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip G. Chen. 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 Philip G. Chen. The network helps show where Philip G. Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20231
4 20232
5 20222
6 20213
7 20211
8 20214
9 20211
10 20201
11 20181
12 201416
13 20138
14 201220
15 201060
16 200528
17 2002148
18 200285
19 200157
20 1994173

About Philip G. Chen

Philip G. Chen is a scholar working on Otorhinolaryngology, Medical Laboratory Technology, Immunology and Allergy, Anesthesiology and Pain Medicine and Surgery, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sinusitis and nasal conditions (34 papers), Head and Neck Surgical Oncology (18 papers), Nasal Surgery and Airway Studies (15 papers), Surgical Simulation and Training (8 papers), Allergic Rhinitis and Sensitization (6 papers), Airway Management and Intubation Techniques (5 papers), Asthma and respiratory diseases (5 papers) and Personality Traits and Psychology (4 papers). The work is most often cited by research in Otorhinolaryngology (258 citations), Endocrinology, Diabetes and Metabolism (356 citations), Medical Laboratory Technology (22 citations), Genetics (131 citations) and Cancer Research (168 citations). Philip G. Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Lynn Bry, David B. Sacks, Martin F. Lavin, Chev Kidson, Denis J. Moss, Hector R. Wong, A. Hari Reddi, Slobodan Vukičević, Erik K Weitzel and T. Kuber Sampath. Their work appears in journals such as International Forum of Allergy & Rhinology, The Laryngoscope, Annals of Otology Rhinology & Laryngology, Otolaryngology and Critical Care Medicine.

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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