Jennifer McDaniel

8.5k citations
11 papers · 650 · h-index 9

Impact in

  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Genomics and Rare Diseases

Papers in

    • Genomics and Phylogenetic Studies 3
    • Molecular Biology Techniques and Applications 3
    • Gene expression and cancer classification 2
    • Genomics and Rare Diseases 2

Jennifer McDaniel

10 papers receiving 645 citations

Peers

Jennifer McDaniel
Comparison fields: 5 of 77
  • Biomaterials 110
  • Genetics 154
  • Cancer Research 75
  • Biomedical Engineering 207
  • Aging 7
Replace Tracy A. Hookway with:
Tracy A. Hookway United States
Karlijn J. Wilschut Netherlands
Leqian Yu United States
Roman Goetzke Germany
Peng Shang China
Nipan Israsena Thailand
Chukwuma A. Agu United Kingdom
Hüseyin Sümer Australia
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Citations per field
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Tracy A. Hookway · 1×
Citations per year

Countries citing papers authored by Jennifer McDaniel

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2011245
2 2019161
3 201278
4 201239
5 201433
6 201229
7 201624
8 201619
9 202415
10 20157
11 20230

About Jennifer McDaniel

Jennifer McDaniel is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Automotive Engineering and Ecology, having authored 11 papers that have together received 650 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Molecular Biology Techniques and Applications (3 papers), Genomics and Rare Diseases (2 papers), Gene expression and cancer classification (2 papers), Bone Tissue Engineering Materials (2 papers), 3D Printing in Biomedical Research (2 papers), Cancer Genomics and Diagnostics (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Biomaterials (110 citations), Genetics (154 citations), Cancer Research (75 citations), Biomedical Engineering (207 citations) and Aging (7 citations). Jennifer McDaniel has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Marc Salit, P. Scott Pine, Kaushik Chatterjee, Girish Kumar, Carl G. Simon, Marian F. Young, Christopher K. Tison, Justin M. Zook, Justin Wagner and Nathan D. Olson. Their work appears in journals such as Biomaterials, Nature Communications, BMC Biotechnology, Genome biology and PLoS ONE.

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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