Taylor E. Kavanaugh

1.1k citations
17 papers · 865 · h-index 13

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • RNA Interference and Gene Delivery 4
    • Nanoparticle-Based Drug Delivery 2

Taylor E. Kavanaugh

17 papers receiving 861 citations

Peers

Taylor E. Kavanaugh
Comparison fields: 5 of 86
  • Biomaterials 205
  • Molecular Medicine 41
  • Immunology and Allergy 47
  • Rheumatology 106
  • Pharmaceutical Science 41
Replace Fang Yu with:
Fang Yu United States
Jung Min Shin South Korea
Abhinav P. Acharya United States
Matthew P. Ablett United Kingdom
Heng Sun China
Thomas A. Werfel United States
Pengcui Li China
Zhengang Zha China
Isaac M. Adjei United States
Laurent Grossin France
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Citations per year

Countries citing papers authored by Taylor E. Kavanaugh

Since Specialization
Citations

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

Fields of papers citing papers by Taylor E. Kavanaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014160
2 2014151
3 2017107
4 201565
5 201854
6 201752
7 201651
8 201745
9 201439
10 201639
11 202133
12 201632
13 202017
14 20159
15 20175
16 20204
17 20162

About Taylor E. Kavanaugh

Taylor E. Kavanaugh is a scholar working on Molecular Biology, Biomaterials, Pharmacology, Rheumatology and Polymers and Plastics, having authored 17 papers that have together received 865 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (4 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Bone Tissue Engineering Materials (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Dendrimers and Hyperbranched Polymers (2 papers). The work is most often cited by research in Biomaterials (205 citations), Molecular Medicine (41 citations), Immunology and Allergy (47 citations), Rheumatology (106 citations) and Pharmaceutical Science (41 citations). Taylor E. Kavanaugh has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Craig L. Duvall, Thomas A. Werfel, Mukesh Kumar Gupta, Asha Shekaran, Angela Lin, Robert E. Guldberg, Meredith A. Jackson, Andrés J. Garcı́a, Melissa C. Skala and Amy Y. Clark. Their work appears in journals such as Biomaterials, Journal of Controlled Release, ACS Nano, Advanced Materials and ACS Biomaterials Science & Engineering.

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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