Phillip Wang

2.3k citations
50 papers · 1.7k indexed · 1 hit paper · h-index 17

Phillip Wang

47 papers receiving 1.6k citations

Hit Papers

The World Health Organization Health and Work Performance...8612003202620102018250500750

Peers

Phillip Wang
Comparison fields: 5 of 169
  • Molecular Medicine 115
  • Pollution 263
  • General Health Professions 568
  • Pharmacology 261
  • Radiological and Ultrasound Technology 77
Replace Chiou‐Jong Chen with:
Chiou‐Jong Chen Taiwan
Georgia Ntani United Kingdom
Chaowei Fu China
Mohammad Taghi Shakeri Iran
Habibollah Esmaily Iran
Xiaorong Yang China
Jin‐Ha Yoon South Korea
Qi Zhao China
Rusli Bin Nordin Malaysia
Bahman Cheraghian Iran
Phillip Wang relative to Chiou‐Jong Chen Taiwan Chiou‐Jong Chen's profile →
Citations per field
00.5×3.7×
Chiou‐Jong Chen · 1×
Citations per year

Countries citing papers authored by Phillip Wang

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20247
4 20247
5 20243
6 202121
7 202113
8 202036
9 2020127
10 201918
11 201930
12 20181
13 201418
14 201426
15 20147
16 201313
17 201315
18 201228
19 201133
20
The World Health Organization Health and Work Performance Questionnaire (HPQ)breakdown →
2003861

About Phillip Wang

Phillip Wang is a scholar working on Molecular Medicine, Pollution, General Dentistry, Pharmacology and Hematology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Antibiotic Resistance in Bacteria (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Semiconductor materials and interfaces (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Semiconductor materials and devices (4 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Molecular Medicine (115 citations), Pollution (263 citations), General Health Professions (568 citations), Pharmacology (261 citations) and Radiological and Ultrasound Technology (77 citations). Phillip Wang has collaborated with scholars based in United States, Lebanon and Canada. Frequent co-authors include Adam L. Smith, Patricia A. Berglund, David K. McKenas, Paul Stang, Nico Pronk, Ronald C. Kessler, Arne Beck, Paul D. Cleary, T. B. Üstün and Catherine Barber. Their work appears in journals such as Bioanalysis, Environmental Science Water Research & Technology, Environmental Science & Technology Letters, Water Research and Environmental Science & Technology.

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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