Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Colon Cancer and Dietary Fat, Phosphate, and Calcium: A Hypothesis
1984437 citationsMichael J. Wargovich et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Michael J. Wargovich
Since
Specialization
Citations
This map shows the geographic impact of Michael J. Wargovich'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 Michael J. Wargovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Wargovich more than expected).
Fields of papers citing papers by Michael J. Wargovich
This network shows the impact of papers produced by Michael J. Wargovich. 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 Michael J. Wargovich. The network helps show where Michael J. Wargovich may publish in the future.
Co-authorship network of co-authors of Michael J. Wargovich
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Wargovich.
A scholar is included among the top collaborators of Michael J. Wargovich 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 Michael J. Wargovich. Michael J. Wargovich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Showler, Allan T., Weste L. A. Osbrink, Jay Morris, & Michael J. Wargovich. (2017). Effects of two Commercial Neem-based insecticides on lone star tick, Amblyomma Americanum (L.) (Acari: Ixodidae): Deterrence, mortality, and reproduction. 13(1). 1–12.5 indexed citations
Morris, Jay, et al.. (2013). Green tea polyphenol epigallocatechin 3-gallate, contributes to the degradation of DNMT3A and HDAC3 in HCT 116 human colon cancer cells.. PubMed. 33(12). 5325–33.66 indexed citations
Boyapati, Sonia M., Roberd M. Bostick, Katherine A. McGlynn, et al.. (2003). Calcium, Vitamin D, and Risk for Colorectal Adenoma. Cancer Epidemiology and Prevention Biomarkers. 12(7). 631–637.1 indexed citations
McShane, Lisa M., Martin Kulldorff, Michael J. Wargovich, et al.. (1998). An evaluation of rectal mucosal proliferation measure variability sources in the polyp prevention trial: can we detect informative differences among individuals' proliferation measures amid the noise?. PubMed. 7(7). 605–12.10 indexed citations
13.
Wargovich, Michael J. & Anthony J. Mastromarino. (1994). Dietary factors in the etiology and prevention of colon cancer. 46(4). 303–308.3 indexed citations
14.
Wargovich, Michael J.. (1991). Intermediate endpoints in gastrointestinal cancer chemoprevention clinical trials. 43(6). 544–548.1 indexed citations
15.
Shin, Dong M., Jin S. Lee, Kenji Nishioka, et al.. (1990). Expression of epidermal growth factor receptor, polyamine levels, ornithine decarboxylase activity, micronuclei, and transglutaminase I in a 7,12-dimethylbenz(a)anthracene-induced hamster buccal pouch carcinogenesis model.. PubMed. 50(8). 2505–10.42 indexed citations
Sumiyoshi, Hidetaka & Michael J. Wargovich. (1989). Garlic (Allium sativum): A review of its relationship to cancer. 4(2). 133–140.27 indexed citations
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.