William J. Banz

96 total papers · 2.2k total citations
63 papers, 1.7k citations indexed

About

William J. Banz is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, William J. Banz has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pathology and Forensic Medicine, 18 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Nutrition and Dietetics. Recurrent topics in William J. Banz's work include Phytoestrogen effects and research (32 papers), Diet, Metabolism, and Disease (14 papers) and Fatty Acid Research and Health (13 papers). William J. Banz is often cited by papers focused on Phytoestrogen effects and research (32 papers), Diet, Metabolism, and Disease (14 papers) and Fatty Acid Research and Health (13 papers). William J. Banz collaborates with scholars based in United States, Netherlands and Brazil. William J. Banz's 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 and has published in prestigious journals such as PLoS ONE, Brain Research and The FASEB Journal.

In The Last Decade

William J. Banz

62 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
William J. Banz	711	475	421	343	332	63	1.7k
Manuel T. Velasquez	780 1.1×	549 1.2×	434 1.0×	437 1.3×	427 1.3×	49	2.2k
Sam J. Bhathena	713 1.0×	589 1.2×	554 1.3×	546 1.6×	430 1.3×	49	2.2k
Pon Velayutham Anandh Babu	530 0.7×	506 1.1×	711 1.7×	206 0.6×	342 1.0×	45	2.3k
Gisela Wilcox	981 1.4×	568 1.2×	457 1.1×	386 1.1×	354 1.1×	35	2.1k
Shanil Juma	700 1.0×	492 1.0×	604 1.4×	472 1.4×	239 0.7×	48	2.3k
Toru Izumi	863 1.2×	265 0.6×	404 1.0×	461 1.3×	215 0.6×	54	1.9k
M. Begoña Ruiz‐Larrea	412 0.6×	307 0.6×	507 1.2×	251 0.7×	186 0.6×	53	2.0k
James W. Daily	334 0.5×	293 0.6×	673 1.6×	333 1.0×	459 1.4×	55	2.2k
D. Lee Alekel	990 1.4×	456 1.0×	303 0.7×	397 1.2×	276 0.8×	33	1.9k
Shinichi Meguro	569 0.8×	287 0.6×	462 1.1×	316 0.9×	455 1.4×	49	2.0k

Countries citing papers authored by William J. Banz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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