Daniel E. Kass

2.0k citations
34 papers · 1.6k · h-index 21

Impact in

Papers in

Daniel E. Kass

33 papers receiving 1.5k citations

Peers

Daniel E. Kass
Comparison fields: 5 of 152
  • Health, Toxicology and Mutagenesis 900
  • Occupational Therapy 70
  • Endocrinology 76
  • Speech and Hearing 86
  • Environmental Engineering 180
Replace Clifford S. Mitchell with:
Clifford S. Mitchell United States
B Festy France
D’Ann L. Williams United States
Laura Maria Del Campo Italy
Christine Schulz Germany
Yongjie Xia China
Paloma I. Beamer United States
Nicole Le Moual France
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Denis Zmirou‐Navier France
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Citations per field
00.5×1.5×2.2×
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Citations per year

Countries citing papers authored by Daniel E. Kass

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Kass. 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 Daniel E. Kass. The network helps show where Daniel E. Kass may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007231
2 2013128
3 2013120
4 2012111
5 2007104
6 202185
7 201081
8 201371
9 201755
10
Illnesses and deaths among persons attending an electronic dance-music festival - New York City, 2013.
201454
11 202349
12 200948
13 201747
14 201546
15 202045
16 201845
17 200644
18 202043
19 201831
20 200730

About Daniel E. Kass

Daniel E. Kass is a scholar working on Health, Toxicology and Mutagenesis, Organizational Behavior and Human Resource Management, Pollution, Public Health, Environmental and Occupational Health and Endocrinology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (11 papers), Climate Change and Health Impacts (7 papers), Global Public Health Policies and Epidemiology (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Mercury impact and mitigation studies (3 papers), COVID-19 impact on air quality (3 papers), Air Quality Monitoring and Forecasting (3 papers) and Pesticide Exposure and Toxicity (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (900 citations), Occupational Therapy (70 citations), Endocrinology (76 citations), Speech and Hearing (86 citations) and Environmental Engineering (180 citations). Daniel E. Kass has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Wendy F. McKelvey, Thomas Matte, Nancy Jeffery, Iyad Kheirbek, Patrick J. Parsons, Lorna E. Thorpe, Katherine Wheeler-Martin, Christopher D. Palmer, Renu K Garg and R. Charon Gwynn. Their work appears in journals such as Environmental Health Perspectives, Public Health Reports, Emerging infectious diseases, Journal of Exposure Science & Environmental Epidemiology and Global Heart.

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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