Jason E. Ham

964 citations
38 papers · 796 · h-index 17

Impact in

Papers in

Jason E. Ham

37 papers receiving 776 citations

Peers

Jason E. Ham
Comparison fields: 5 of 90
  • Health, Toxicology and Mutagenesis 374
  • Automotive Engineering 278
  • Process Chemistry and Technology 42
  • Industrial and Manufacturing Engineering 98
  • Atmospheric Science 184
Replace Frank Lipari with:
Frank Lipari United States
Eduardo Monteiro Martins Brazil
Mattia Perilli Italy
Anna Cuadras Spain
Enric Rovira Spain
Chu‐Chin Hsieh Taiwan
Erin F. Katz United States
Linli Qu China
Luigi Turrio‐Baldassarri Italy
Vivi Kofoed‐Sørensen Denmark
Jason E. Ham relative to Frank Lipari United States Frank Lipari's profile →
Citations per field
00.5×8.8×
Frank Lipari · 1×
Citations per year

Countries citing papers authored by Jason E. Ham

Since Specialization
Citations

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

Fields of papers citing papers by Jason E. Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017110
2 201272
3 201857
4 201852
5 201847
6 201943
7 200634
8 200532
9 201730
10 200821
11 200620
12 200920
13 200318
14 200817
15 201416
16 201816
17 200716
18 200615
19 201115
20 200813

About Jason E. Ham

Jason E. Ham is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Biomedical Engineering, Process Chemistry and Technology and Automotive Engineering, having authored 38 papers that have together received 796 indexed citations. Recurring topics across this work include Indoor Air Quality and Microbial Exposure (27 papers), Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (12 papers), Advanced Chemical Sensor Technologies (10 papers), Odor and Emission Control Technologies (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Analytical chemistry methods development (4 papers) and Atmospheric Ozone and Climate (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (374 citations), Automotive Engineering (278 citations), Process Chemistry and Technology (42 citations), Industrial and Manufacturing Engineering (98 citations) and Atmospheric Science (184 citations). Jason E. Ham has collaborated with scholars based in United States, South Africa and Denmark. Frequent co-authors include J. R. Wells, Aleksandr B. Stefaniak, Stephen B. Martin, Ryan F. LeBouf, Alyson Johnson, Joel C. Harrison, Stacey E. Anderson, M. Abbas Virji, Alycia K. Knepp and Lauren N. Bowers. Their work appears in journals such as Atmospheric Environment, International Journal of Chemical Kinetics, Review of Scientific Instruments, Indoor Air and Frontiers in Public Health.

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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