Jennifer McDaniel
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
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- Genomics and Rare Diseases
Papers in
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- Molecular Biology Techniques and Applications 5
- Genomics and Phylogenetic Studies 4
- Gene expression and cancer classification 4
- RNA and protein synthesis mechanisms 1
- Genetics 2
- Genomics and Rare Diseases 2
- Co-authors
- Marc Salit (8 shared papers)P. Scott Pine (5 shared papers)Girish Kumar (2 shared papers)Kaushik Chatterjee (2 shared papers)Carl G. Simon (2 shared papers)Christopher K. Tison (1 shared paper)Marian F. Young (1 shared paper)Justin M. Zook (4 shared papers)
- Journals
- Biomaterials (2 papers)BMC Genomics (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Nature Communications (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Jennifer McDaniel
10 papers receiving 626 citations
Peers
Comparison fields: 5 of 79
- Biomaterials 115
- Genetics 160
- Cancer Research 82
- Biomedical Engineering 220
- Molecular Biology 291
Countries citing papers authored by Jennifer McDaniel
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 244 | |
| 2 | 2019 | 152 | |
| 3 | 2012 | 77 | |
| 4 | 2012 | 38 | |
| 5 | 2014 | 32 | |
| 6 | 2012 | 29 | |
| 7 | 2016 | 23 | |
| 8 | 2016 | 19 | |
| 9 | 2024 | 12 | |
| 10 | 2015 | 7 | |
| 11 | 2023 | 0 |
About Jennifer McDaniel
Jennifer McDaniel is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomedical Engineering and Automotive Engineering, having authored 11 papers that have together received 633 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (4 papers), Genomics and Rare Diseases (2 papers), 3D Printing in Biomedical Research (2 papers), Bone Tissue Engineering Materials (2 papers), Cancer Genomics and Diagnostics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Biomaterials (115 citations), Genetics (160 citations), Cancer Research (82 citations), Biomedical Engineering (220 citations) and Molecular Biology (291 citations). Jennifer McDaniel has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Marc Salit, P. Scott Pine, Girish Kumar, Kaushik Chatterjee, Carl G. Simon, Christopher K. Tison, Marian F. Young, Justin M. Zook, Justin Wagner and Nathan D. Olson. Their work appears in journals such as Biomaterials, BMC Genomics, Biochimica et Biophysica Acta (BBA) - Biomembranes, Nature Communications and Genome biology.
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.