Mark Nicas

78 papers receiving 2.4k citations

Mark Nicas's Hit Papers

Toward Understanding the Risk of Secondary Airborne Infection: Emission of Respirable Pathogens 2005 · 666 citations
6660+7+14Years since publication200400600

Peers

Mark Nicas
Comparison fields: 5 of 152
  • Chemical Health and Safety 107
  • Modeling and Simulation 378
  • Health, Toxicology and Mutagenesis 647
  • Pulmonary and Respiratory Medicine 1.4k
  • Radiological and Ultrasound Technology 151
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Citations per year

Countries citing papers authored by Mark Nicas

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nicas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toward Understanding the Risk of Secondary Airborne Infection: Emission of Respirable Pathogens
Hit paper breakdown →
2005666
2 2008207
3 2009146
4 2006104
5 199699
6 201058
7 200457
8 201254
9 199953
10 199851
11 200749
12 200648
13 200641
14 199540
15 199636
16 200336
17 200434
18 200034
19 200334
20 200534

About Mark Nicas

Mark Nicas is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Infectious Diseases, Radiological and Ultrasound Technology and Environmental Engineering, having authored 82 papers that have together received 2.6k indexed citations. Recurring topics across this work include Infection Control and Ventilation (23 papers), Indoor Air Quality and Microbial Exposure (15 papers), Air Quality and Health Impacts (12 papers), Occupational Health and Safety Research (11 papers), Wind and Air Flow Studies (9 papers), Risk and Safety Analysis (5 papers), Noise Effects and Management (5 papers) and Chemical Safety and Risk Management (5 papers). The work is most often cited by research in Chemical Health and Safety (107 citations), Modeling and Simulation (378 citations), Health, Toxicology and Mutagenesis (647 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Radiological and Ultrasound Technology (151 citations). Mark Nicas has collaborated with scholars based in United States, Colombia and Spain. Frequent co-authors include Alan Hubbard, William W. Nazaroff, Rachael M. Jones, Gang Sun, Robert C. Spear, Shelly L. Miller, John Neuhaus, Arthur Reingold, Ki‐Young Lee and Robert J. Harrison. Their work appears in journals such as American Industrial Hygiene Association Journal, Risk Analysis, Applied Occupational and Environmental Hygiene, Annals of Work Exposures and Health and Infection Control and Hospital Epidemiology.

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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