Jacquelyn S. Meisel

16 papers receiving 1.2k citations

Jacquelyn S. Meisel's Hit Papers

Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy 2019 · 245 citations
2450+2+4Years since publication50100150200

Peers

Jacquelyn S. Meisel
Comparison fields: 5 of 104
  • Dermatology 438
  • Rehabilitation 241
  • Occupational Therapy 87
  • Immunology and Allergy 79
  • Microbiology 74
Replace Amanda S. Tyldsley with:
Amanda S. Tyldsley United States
Adam J. SanMiguel United States
Yosuke Kumamoto United States
Lene Bay Denmark
Martin Glatz Switzerland
Sanae Sasaki Japan
Chiara Noli Italy
Hitomi Shinji Japan
Rebecca J. Ingram United Kingdom
Masataro Hiruma Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jacquelyn S. Meisel

Since Specialization
Citations

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

Fields of papers citing papers by Jacquelyn S. Meisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacquelyn S. Meisel. 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 Jacquelyn S. Meisel. The network helps show where Jacquelyn S. Meisel may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy
Hit paper breakdown →
2019245
2 2016232
3 2015192
4 2018149
5 201791
6 201755
7 201054
8 201854
9 201827
10 201724
11 202111
12 201911
13 20209
14 20198
15 20214
16 20181

About Jacquelyn S. Meisel

Jacquelyn S. Meisel is a scholar working on Molecular Biology, Dermatology, Ecology, Epidemiology and Endocrinology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (5 papers), Genomics and Phylogenetic Studies (4 papers), Microbial Community Ecology and Physiology (4 papers), Gut microbiota and health (4 papers), Nail Diseases and Treatments (3 papers), Plant and Fungal Interactions Research (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Dermatology (438 citations), Rehabilitation (241 citations), Occupational Therapy (87 citations), Immunology and Allergy (79 citations) and Microbiology (74 citations). Jacquelyn S. Meisel has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Elizabeth A. Grice, Qi Zheng, Adam J. SanMiguel, Amanda S. Tyldsley, Brendan P. Hodkinson, Joseph Horwinski, Geoffrey D. Hannigan, Michael A. Loesche, Lindsay Kalan and Sue E. Gardner. Their work appears in journals such as Cell Host & Microbe, Journal of Investigative Dermatology, Antimicrobial Agents and Chemotherapy, Infection Control and Hospital Epidemiology and Annals of the Rheumatic Diseases.

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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