David Chun

27 papers receiving 276 citations

Peers

David Chun
Comparison fields: 5 of 87
  • Health Informatics 11
  • Process Chemistry and Technology 24
  • Health, Toxicology and Mutagenesis 71
  • Health Information Management 13
  • Polymers and Plastics 33
Replace Yejin Park with:
Yejin Park South Korea
Xiaoli Zhu China
Muneeb Ullah South Korea
Yu Pu China
Zhen Xue China
Hye Jung Choi South Korea
Mohammed Rizwan India
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Citations per field
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Citations per year

Countries citing papers authored by David Chun

Since Specialization
Citations

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

Fields of papers citing papers by David Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199667
2 201963
3 200825
4 200624
5
Second inter-laboratory study comparing endotoxin assay results from cotton dust.
200222
6 200021
7
Effects of conventional cotton storage on dust generation potential, bacterial survival, and endotoxin content of lint and dust
199612
8 200410
9 19909
10 20096
11 19965
12 19985
13
PROFILE OF BACTERIAL GENERA ASSOCIATED WITH COTTON FROM LOW ENDOTOXIN AND HIGH ENDOTOXIN GROWING REGIONS
19975
14 20065
15
Using the Reactive Dye Method to Covalently Attach Antibacterial Compounds to Cotton
20074
16
How much board turnover is best
20144
17 19844
18 19884
19 19963
20 19953

About David Chun

David Chun is a scholar working on Polymers and Plastics, Building and Construction, Health, Toxicology and Mutagenesis, Plant Science and Organic Chemistry, having authored 28 papers that have together received 311 indexed citations. Recurring topics across this work include Textile materials and evaluations (8 papers), Indoor Air Quality and Microbial Exposure (5 papers), Natural Fiber Reinforced Composites (4 papers), Dyeing and Modifying Textile Fibers (4 papers), Antimicrobial agents and applications (3 papers), Infection Control and Ventilation (2 papers), Postharvest Quality and Shelf Life Management (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Health Informatics (11 citations), Process Chemistry and Technology (24 citations), Health, Toxicology and Mutagenesis (71 citations), Health Information Management (13 citations) and Polymers and Plastics (33 citations). David Chun has collaborated with scholars based in United States, Denmark and Finland. Frequent co-authors include Junqiao Chen, Milesh M. Patel, Parakrama Chandrasoma, Vishvinder Sharma, David D. McAlister, Loren Laine, Jonn A. Foulk, Robert R. Jacobs, Olivier Michel and Daniel M. Lewis. Their work appears in journals such as Textile Research Journal, ˜The œjournal of cotton science/Journal of cotton science, American Journal of Industrial Medicine, Industrial Crops and Products and Gastrointestinal Endoscopy.

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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