William J. Banz
- Pathology and Forensic Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Nutrition and Dietetics top 5%
- Physiology top 10%
- Co-authors
- Todd A. WintersNeil F. ShayOrsolya MezeiMichael R. PelusoRichard W. StegerMichael B. ZemelMargaret A. MaherJeremy Davis
- Topics
- Phytoestrogen effects and research (32 papers)Diet, Metabolism, and Disease (14 papers)Fatty Acid Research and Health (13 papers)
- Cited by
- Pathology and Forensic MedicineEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Partner nations
- United StatesNetherlandsBrazil
In The Last Decade
William J. Banz
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Pathology and Forensic Medicine 711
- Endocrinology, Diabetes and Metabolism 476
- Molecular Biology 423
- Nutrition and Dietetics 343
- Physiology 332
Countries citing papers authored by William J. Banz
This map shows the geographic impact of William J. Banz'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 William J. Banz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Banz more than expected).
Fields of papers citing papers by William J. Banz
This network shows the impact of papers produced by William J. Banz. 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 William J. Banz. The network helps show where William J. Banz may publish in the future.
Co-authorship network of co-authors of William J. Banz
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Banz. A scholar is included among the top collaborators of William J. Banz 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 William J. Banz. William J. Banz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 69 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 23 | |
| 15 | 36 | |
| 16 | 20 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 10 | |
| 20 | 8 |
About William J. Banz
William J. Banz is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (32 papers), Diet, Metabolism, and Disease (14 papers) and Fatty Acid Research and Health (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (711 citations), Endocrinology, Diabetes and Metabolism (476 citations) and Nutrition and Dietetics (343 citations). William J. Banz has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Todd A. Winters, Neil F. Shay, Orsolya Mezei, Michael R. Peluso, Richard W. Steger, Michael B. Zemel, Margaret A. Maher, Jeremy Davis, M. J. Iqbal and Richard G. Peterson. Their work appears in journals such as PLoS ONE, Brain Research and The FASEB Journal.
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.