Ted Mao

13 papers receiving 322 citations

Ted Mao's Hit Papers

Far UV-C radiation: An emerging tool for pandemic control 2022 · 107 citations
1070+1+2Years since publication255075100

Peers

Ted Mao
Comparison fields: 5 of 73
  • Health, Toxicology and Mutagenesis 145
  • Water Science and Technology 116
  • Industrial and Manufacturing Engineering 48
  • Pollution 37
  • Biotechnology 27
Replace Oliver Lawal with:
Oliver Lawal United States
James P. Malley United States
Paul Onkundi Nyangaresi China
Glenn W. Walters United States
P. Savoye France
Joe Heffron United States
Leonardo Romero‐Martínez Spain
Marisol D. Labas Argentina
Hanwei Wang China
Yarui Liu China
Ted Mao relative to Oliver Lawal United States Oliver Lawal's profile →
Citations per field
00.5×2.9×
Oliver Lawal · 1×
Citations per year

Countries citing papers authored by Ted Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ted Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Far UV-C radiation: An emerging tool for pandemic control
Hit paper breakdown →
2022107
2 201946
3 202333
4 202431
5 202129
6 202227
7 200920
8 202110
9 20089
10 20218
11 20214
12 20252
13 20052
14 20250
15 20250

About Ted Mao

Ted Mao is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Pollution, Industrial and Manufacturing Engineering and Dermatology, having authored 15 papers that have together received 328 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (7 papers), Advanced oxidation water treatment (4 papers), Wastewater Treatment and Reuse (3 papers), Membrane Separation Technologies (3 papers), Marine and coastal ecosystems (2 papers), Skin Protection and Aging (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (145 citations), Water Science and Technology (116 citations), Industrial and Manufacturing Engineering (48 citations), Pollution (37 citations) and Biotechnology (27 citations). Ted Mao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Wenjun Sun, Karl G. Linden, Zedong Lu, Ziming Zhao, Madhumita B. Ray, David J. Brenner, Yijing Liu, Sung‐Jin Park, Ernest R. Blatchley and David H. Sliney. Their work appears in journals such as Water Environment Research, Chemosphere, Journal of environmental chemical engineering, Journal of Applied Phycology 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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