Kellie A. Woodling
- Health, Toxicology and Mutagenesis top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Genetics
- Pollution top 10%
- Co-authors
- Daniel R. DoergeNathan C. TwaddleWilliam G. HelferichJeffrey W. FisherJohn B. SutherlandSamuel T. BurnsJack HinsonPhilip R. Mayeux
- Topics
- Phytoestrogen effects and research (6 papers)Effects and risks of endocrine disrupting chemicals (3 papers)Fatty Acid Research and Health (3 papers)
- Cited by
- Health, Toxicology and MutagenesisGeriatrics and GerontologyPathology and Forensic Medicine
- Journals
- Applied and Environmental MicrobiologyEnvironmental Health PerspectivesApplied Microbiology and Biotechnology
- Partner nations
- United StatesHong KongChina
In The Last Decade
Kellie A. Woodling
25 papers receiving 810 citations
Peers
Comparison fields: 5 of 102
- Health, Toxicology and Mutagenesis 327
- Molecular Biology 165
- Pathology and Forensic Medicine 162
- Genetics 129
- Pollution 100
Countries citing papers authored by Kellie A. Woodling
This map shows the geographic impact of Kellie A. Woodling'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 Kellie A. Woodling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kellie A. Woodling more than expected).
Fields of papers citing papers by Kellie A. Woodling
This network shows the impact of papers produced by Kellie A. Woodling. 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 Kellie A. Woodling. The network helps show where Kellie A. Woodling may publish in the future.
Co-authorship network of co-authors of Kellie A. Woodling
This figure shows the co-authorship network connecting the top 25 collaborators of Kellie A. Woodling. A scholar is included among the top collaborators of Kellie A. Woodling 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 Kellie A. Woodling. Kellie A. Woodling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 43 | |
| 6 | 27 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 38 | |
| 10 | 22 | |
| 11 | 132 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 50 | |
| 15 | 91 | |
| 16 | 85 | |
| 17 | 23 | |
| 18 | 69 | |
| 19 | 81 | |
| 20 | 13 |
About Kellie A. Woodling
Kellie A. Woodling is a scholar working on Health, Toxicology and Mutagenesis, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 25 papers that have together received 835 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (6 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (327 citations), Geriatrics and Gerontology (37 citations) and Pathology and Forensic Medicine (162 citations). Kellie A. Woodling has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Daniel R. Doerge, Nathan C. Twaddle, William G. Helferich, Jeffrey W. Fisher, John B. Sutherland, Samuel T. Burns, Jack Hinson, Philip R. Mayeux, Joseph H. Holthoff and Matthew Bryant. Their work appears in journals such as Applied and Environmental Microbiology, Environmental Health Perspectives and Applied Microbiology and Biotechnology.
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.