James J. Mun

14 papers receiving 637 citations

Peers

James J. Mun
Comparison fields: 5 of 92
  • Aging 148
  • Ophthalmology 183
  • Molecular Medicine 71
  • Endocrine and Autonomic Systems 89
  • Microbiology 73
Replace Elizabeth M. Newton with:
Elizabeth M. Newton United States
Montserrat Bosch Spain
Ira H. Schachar United States
Peter A. Appleby United Kingdom
Bruce W. Ritchings United States
Vincent Nieto United States
Voula Kodoyianni United States
James J. Mun relative to Elizabeth M. Newton United States Elizabeth M. Newton's profile →
Citations per field
00.5×20×40×60×73×
Elizabeth M. Newton · 1×
Citations per year

Countries citing papers authored by James J. Mun

Since Specialization
Citations

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

Fields of papers citing papers by James J. Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Mun. 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 James J. Mun. The network helps show where James J. Mun may publish in the future.

Co-authors

The 23 scholars most cited alongside James J. Mun, 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 James J. Mun Line = papers co-authored together James J. Mun links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2008211
2 201269
3 201069
4 201062
5 200959
6 201143
7 201132
8 201132
9 200927
10 201826
11 201312
12
Efficacy and Structure-Activity of Keratin-Derived Antimicrobial Peptides (kDAMPs): A Novel Role for Intermediate Filament Proteins in Corneal Innate Defense
20121
13
Expression Of MicroRNAs In Human Corneal Epithelial Cells Is Modified By Exposure To Human Tear Fluid And Pseudomonas Aeruginosa Antigens
20111
14
Ocular Resistance to Pseudomonas aeruginosa Infection in a Murine Model of Dry Eye Disease
20101

About James J. Mun

James J. Mun is a scholar working on Public Health, Environmental and Occupational Health, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Microbiology, having authored 14 papers that have together received 645 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (8 papers), Ocular Infections and Treatments (6 papers), Corneal Surgery and Treatments (5 papers), Bacterial biofilms and quorum sensing (3 papers), Immune Response and Inflammation (3 papers), Antimicrobial Peptides and Activities (3 papers), Vibrio bacteria research studies (2 papers) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Aging (148 citations), Ophthalmology (183 citations), Molecular Medicine (71 citations), Endocrine and Autonomic Systems (89 citations) and Microbiology (73 citations). James J. Mun has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Suzanne M. J. Fleiszig, David J. Evans, Connie Tam, Raymond Ho, Jonathan T. Pierce, Steven L. McIntire, Jeffrey LeDue, David Kowbel, Samuel Hawgood and Mitchell J. Barnett. Their work appears in journals such as Investigative Ophthalmology & Visual Science, PLoS ONE, Microbial Pathogenesis, Scientific Reports and The Ocular Surface.

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.

Explore authors with similar magnitude of impact