Jacquelyn S. Meisel

1.7k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Jacquelyn S. Meisel is a scholar working on Molecular Biology, Dermatology and Ecology. According to data from OpenAlex, Jacquelyn S. Meisel has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Dermatology and 5 papers in Ecology. Recurrent topics in Jacquelyn S. Meisel's work include Dermatology and Skin Diseases (5 papers), Microbial Community Ecology and Physiology (4 papers) and Gut microbiota and health (4 papers). Jacquelyn S. Meisel is often cited by papers focused on Dermatology and Skin Diseases (5 papers), Microbial Community Ecology and Physiology (4 papers) and Gut microbiota and health (4 papers). Jacquelyn S. Meisel collaborates with scholars based in United States, Germany and Zambia. Jacquelyn S. Meisel's 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 and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Genome biology and Annals of the Rheumatic Diseases.

In The Last Decade

Jacquelyn S. Meisel

16 papers receiving 1.2k citations

Hit Papers

Strain- and Species-Level Variation in the Microbiome of ... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jacquelyn S. Meisel United States 12 438 359 241 204 145 16 1.2k
Amanda S. Tyldsley United States 8 490 1.1× 381 1.1× 233 1.0× 216 1.1× 145 1.0× 8 1.1k
Adam J. SanMiguel United States 6 353 0.8× 237 0.7× 73 0.3× 151 0.7× 73 0.5× 8 691
Lene Bay Denmark 12 409 0.9× 252 0.7× 78 0.3× 174 0.9× 54 0.4× 27 844
Martin Glatz Switzerland 22 833 1.9× 176 0.5× 139 0.6× 398 2.0× 193 1.3× 45 1.7k
Chiara Noli Italy 21 432 1.0× 112 0.3× 103 0.4× 351 1.7× 193 1.3× 73 1.4k
Yosuke Kumamoto United States 16 155 0.4× 916 2.6× 90 0.4× 452 2.2× 1.1k 7.6× 25 2.3k
George J. Murakawa United States 15 284 0.6× 460 1.3× 39 0.2× 230 1.1× 127 0.9× 30 1.2k
Hitomi Shinji Japan 10 218 0.5× 528 1.5× 45 0.2× 129 0.6× 120 0.8× 15 1.1k
Rebecca J. Ingram United Kingdom 25 69 0.2× 728 2.0× 33 0.1× 233 1.1× 477 3.3× 59 1.9k
Dragana Ajdić United States 16 82 0.2× 610 1.7× 52 0.2× 349 1.7× 52 0.4× 20 1.6k

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-authorship network of co-authors of Jacquelyn S. Meisel

This figure shows the co-authorship network connecting the top 25 collaborators of Jacquelyn S. Meisel. A scholar is included among the top collaborators of Jacquelyn S. Meisel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacquelyn S. Meisel. Jacquelyn S. Meisel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Mwaba, John, Amanda K. Debes, Michelo Simuyandi, et al.. (2021). Three transmission events of Vibrio cholerae O1 into Lusaka, Zambia. BMC Infectious Diseases. 21(1). 570–570. 11 indexed citations
2.
Meisel, Jacquelyn S., et al.. (2021). Binnacle: Using Scaffolds to Improve the Contiguity and Quality of Metagenomic Bins. Frontiers in Microbiology. 12. 638561–638561. 4 indexed citations
3.
Lydecker, Alison D., Lisa Pineles, J. Kristie Johnson, et al.. (2020). Targeted gown and glove use to prevent Staphylococcus aureus acquisition in community-based nursing homes: A pilot study. Infection Control and Hospital Epidemiology. 42(4). 448–454. 9 indexed citations
4.
Kalan, Lindsay, Jacquelyn S. Meisel, Michael A. Loesche, et al.. (2019). Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy. Cell Host & Microbe. 25(5). 641–655.e5. 245 indexed citations breakdown →
5.
Meisel, Jacquelyn S., et al.. (2019). Embracing Ambiguity in the Taxonomic Classification of Microbiome Sequencing Data. Frontiers in Genetics. 10. 1022–1022. 8 indexed citations
6.
Kalan, Lindsay, et al.. (2019). Human macrophage response to microbial supernatants from diabetic foot ulcers. Wound Repair and Regeneration. 27(6). 598–608. 11 indexed citations
7.
Meisel, Jacquelyn S., Georgia Sfyroera, Casey Bartow‐McKenney, et al.. (2018). Commensal microbiota modulate gene expression in the skin. Microbiome. 6(1). 20–20. 149 indexed citations
8.
Zheng, Qi, Casey Bartow‐McKenney, Jacquelyn S. Meisel, & Elizabeth A. Grice. (2018). HmmUFOtu: An HMM and phylogenetic placement based ultra-fast taxonomic assignment and OTU picking tool for microbiome amplicon sequencing studies. Genome biology. 19(1). 82–82. 27 indexed citations
9.
SanMiguel, Adam J., Jacquelyn S. Meisel, Joseph Horwinski, et al.. (2018). Antiseptic Agents Elicit Short-Term, Personalized, and Body Site–Specific Shifts in Resident Skin Bacterial Communities. Journal of Investigative Dermatology. 138(10). 2234–2243. 54 indexed citations
10.
Zheng, Qi, Jacquelyn S. Meisel, Casey Bartow‐McKenney, & Elizabeth A. Grice. (2018). HmmUFOtu. 503–503. 1 indexed citations
11.
Hannigan, Geoffrey D., Qi Zheng, Jacquelyn S. Meisel, et al.. (2017). Evolutionary and functional implications of hypervariable loci within the skin virome. PeerJ. 5. e2959–e2959. 24 indexed citations
12.
Gimblet, Ciara, Jacquelyn S. Meisel, Michael A. Loesche, et al.. (2017). Cutaneous Leishmaniasis Induces a Transmissible Dysbiotic Skin Microbiota that Promotes Skin Inflammation. Cell Host & Microbe. 22(1). 13–24.e4. 91 indexed citations
13.
SanMiguel, Adam J., Jacquelyn S. Meisel, Joseph Horwinski, Qi Zheng, & Elizabeth A. Grice. (2017). Topical Antimicrobial Treatments Can Elicit Shifts to Resident Skin Bacterial Communities and Reduce Colonization by Staphylococcus aureus Competitors. Antimicrobial Agents and Chemotherapy. 61(9). 55 indexed citations
14.
Meisel, Jacquelyn S., Geoffrey D. Hannigan, Amanda S. Tyldsley, et al.. (2016). Skin Microbiome Surveys Are Strongly Influenced by Experimental Design. Journal of Investigative Dermatology. 136(5). 947–956. 232 indexed citations
15.
Hannigan, Geoffrey D., Jacquelyn S. Meisel, Amanda S. Tyldsley, et al.. (2015). The Human Skin Double-Stranded DNA Virome: Topographical and Temporal Diversity, Genetic Enrichment, and Dynamic Associations with the Host Microbiome. mBio. 6(5). e01578–15. 192 indexed citations
16.
Frey, Oliver, Jacquelyn S. Meisel, Andreas Hutloff, et al.. (2010). Inducible costimulator (ICOS) blockade inhibits accumulation of polyfunctional T helper 1/T helper 17 cells and mitigates autoimmune arthritis. Annals of the Rheumatic Diseases. 69(8). 1495–1501. 54 indexed citations

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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