Danting Luo

736 citations
9 papers · 389 · 1 hit paper · h-index 5

Impact in

Papers in

Danting Luo

8 papers receiving 385 citations

Danting Luo's Hit Papers

Indoor transmission of SARS‐CoV‐2 2020 · 351 citations
3510+2+4Years since publication100200300

Peers

Danting Luo
Comparison fields: 5 of 74
  • Modeling and Simulation 156
  • Pulmonary and Respiratory Medicine 247
  • Health, Toxicology and Mutagenesis 84
  • General Dentistry 10
  • Building and Construction 65
Replace Wenzhao Chen with:
Wenzhao Chen Hong Kong
Te Miao Hong Kong
Pak‐To Chan Hong Kong
Pan Cheng Hong Kong
Danielle N. Rivera United States
Kevin K. Crown United States
Vicki L. Herrera United States
Brian Holland United States
Seo Eun Hwang South Korea
Stewart Wood United States
Danting Luo relative to Wenzhao Chen Hong Kong Wenzhao Chen's profile →
Citations per field
00.5×1.5×
Wenzhao Chen · 1×
Citations per year

Countries citing papers authored by Danting Luo

Since Specialization
Citations

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

Fields of papers citing papers by Danting Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Indoor transmission of SARS‐CoV‐2
Hit paper breakdown →
2020351
2 202215
3 20248
4 20235
5 20244
6 20243
7 20202
8 20221
9 20250

About Danting Luo

Danting Luo is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Modeling and Simulation, Clinical Psychology and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 389 indexed citations. Recurring topics across this work include Infection Control and Ventilation (8 papers), COVID-19 epidemiological studies (3 papers), Infection Control in Healthcare (3 papers), Indoor Air Quality and Microbial Exposure (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), COVID-19 and Mental Health (2 papers), Water Systems and Optimization (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Modeling and Simulation (156 citations), Pulmonary and Respiratory Medicine (247 citations), Health, Toxicology and Mutagenesis (84 citations), General Dentistry (10 citations) and Building and Construction (65 citations). Danting Luo has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Hua Qian, Xiaohong Zheng, Yuguo Li, Te Miao, Li Liu, Jiayu Huang, Fan Liu, Zhiwen Luo, Ying Wang and Shunxiang Huang. Their work appears in journals such as Building and Environment, Journal of Aerosol Science, Indoor Air, Environmental Pollution and Chinese Science Bulletin (Chinese Version).

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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