Jennifer Walker‐Daniels
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Cell Biology top 5%
- Physiology top 10%
- Co-authors
- Michael S. KinchJeremy DavisMichael E. SpurlockNicholas K GablerDavid J. RieseAngela R. HessMary J.C. HendrixPaul W. Snyder
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (7 papers)Adipose Tissue and Metabolism (6 papers)Axon Guidance and Neuronal Signaling (5 papers)
- Partner nations
- United StatesSlovakia
In The Last Decade
Jennifer Walker‐Daniels
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 564
- Cellular and Molecular Neuroscience 419
- Epidemiology 253
- Cell Biology 247
- Physiology 222
Countries citing papers authored by Jennifer Walker‐Daniels
This map shows the geographic impact of Jennifer Walker‐Daniels'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 Walker‐Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Walker‐Daniels more than expected).
Fields of papers citing papers by Jennifer Walker‐Daniels
This network shows the impact of papers produced by Jennifer Walker‐Daniels. 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 Walker‐Daniels. The network helps show where Jennifer Walker‐Daniels may publish in the future.
Co-authorship network of co-authors of Jennifer Walker‐Daniels
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Walker‐Daniels. A scholar is included among the top collaborators of Jennifer Walker‐Daniels 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 Jennifer Walker‐Daniels. Jennifer Walker‐Daniels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | CRISPR and Genomic Engineering | 1 |
| 2 | 3 | |
| 3 | Inflammation in response to n3 fatty acids in a porcine obesity model. | 10 |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 87 | |
| 8 | 74 | |
| 9 | 1 | |
| 10 | 255 | |
| 11 | 1 | |
| 12 | 113 | |
| 13 | 48 | |
| 14 | c-Cbl-dependent EphA2 protein degradation is induced by ligand binding. | 128 |
| 15 | MCF-10A-NeoST: a new cell system for studying cell-ECM and cell-cell interactions in breast cancer. | 56 |
| 16 | 92 | |
| 17 | 231 |
About Jennifer Walker‐Daniels
Jennifer Walker‐Daniels is a scholar working on Rehabilitation, Cellular and Molecular Neuroscience and Physiology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (6 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (419 citations), Cell Biology (247 citations) and Immunology (192 citations). Jennifer Walker‐Daniels has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Michael S. Kinch, Jeremy Davis, Michael E. Spurlock, Nicholas K Gabler, David J. Riese, Angela R. Hess, Mary J.C. Hendrix, Paul W. Snyder, J. S. Rhim and David G. Bostwick. Their work appears in journals such as Molecular and Cellular Biology, The FASEB Journal and American Journal Of Pathology.
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.