Phillip Wang

2.3k citations
52 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

Phillip Wang

49 papers receiving 1.7k citations

Phillip Wang's Hit Papers

The World Health Organization Health and Work Performance Questionnaire (HPQ) 2003 · 875 citations
8750+7+15Years since publication250500750

Peers

Phillip Wang
Comparison fields: 5 of 161
  • Molecular Medicine 114
  • Pollution 272
  • General Health Professions 372
  • Applied Psychology 39
  • Pharmacology 133
Replace Chaowei Fu with:
Chaowei Fu China
Chiou‐Jong Chen Taiwan
Xiaorong Yang China
Mohammad Taghi Shakeri Iran
Rahim Tahmasebi Iran
Boris D. Lushniak United States
Rajnarayan Tiwari India
Qi Zhao China
Na Wang China
Lu Yin China
Phillip Wang relative to Chaowei Fu China Chaowei Fu's profile →
Citations per field
00.5×2.6×
Chaowei Fu · 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-authors

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

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The World Health Organization Health and Work Performance Questionnaire (HPQ)
Hit paper breakdown →
2003875
2 2020131
3 201993
4 201272
5 201448
6 201943
7 202038
8 201133
9 201931
10 201228
11 201128
12 201426
13 202122
14 201221
15 201918
16 201418
17 202017
18 201916
19 201315
20 202113

About Phillip Wang

Phillip Wang is a scholar working on Materials Chemistry, Pollution, Infectious Diseases, Atomic and Molecular Physics, and Optics and Molecular Medicine, having authored 52 papers that have together received 1.8k 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), Biosimilars and Bioanalytical Methods (4 papers), Semiconductor materials and interfaces (4 papers), Semiconductor materials and devices (4 papers), Mechanical Engineering and Vibrations Research (3 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Molecular Medicine (114 citations), Pollution (272 citations), General Health Professions (372 citations), Applied Psychology (39 citations) and Pharmacology (133 citations). Phillip Wang has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Adam L. Smith, Arne Beck, Gregory E. Simon, Patricia A. Berglund, Nico Pronk, T. B. Üstün, Catherine Barber, Ronald C. Kessler, Paul Stang and Paul D. Cleary. Their work appears in journals such as Bioanalysis, Environmental Science Water Research & Technology, Environmental Science & Technology Letters, Water Research and Blood.

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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