Michael D. Badzioch

40 total papers · 1.6k total citations
28 papers, 914 citations indexed

About

Michael D. Badzioch is a scholar working on Genetics, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Michael D. Badzioch has authored 28 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 6 papers in Cancer Research. Recurrent topics in Michael D. Badzioch's work include Genetic Associations and Epidemiology (11 papers), BRCA gene mutations in cancer (11 papers) and Genetic factors in colorectal cancer (5 papers). Michael D. Badzioch is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), BRCA gene mutations in cancer (11 papers) and Genetic factors in colorectal cancer (5 papers). Michael D. Badzioch collaborates with scholars based in United States, Canada and France. Michael D. Badzioch's co-authors include David E. Anderson, David E. Anderson, Gail P. Jarvik, Ellen L. Goode, France Gagnon, Marta Janer, Elaine A. Ostrander, Suzanne Kolb, Mette A. Peters and Janet L. Stanford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Michael D. Badzioch

28 papers receiving 886 citations

Author Peers

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

Author Last Decade Papers Cites
Michael D. Badzioch 563 280 213 206 202 28 914
Shan Yang 742 1.3× 372 1.3× 379 1.8× 292 1.4× 245 1.2× 37 1.2k
Kerry Kingham 643 1.1× 329 1.2× 342 1.6× 414 2.0× 105 0.5× 31 1.0k
Christine Maugard 408 0.7× 312 1.1× 109 0.5× 148 0.7× 82 0.4× 32 822
Hoda A. Guirgis 328 0.6× 192 0.7× 230 1.1× 357 1.7× 71 0.4× 32 858
Aletta Poll 848 1.5× 428 1.5× 290 1.4× 209 1.0× 83 0.4× 29 1.1k
Kulvinder Kaur 209 0.4× 366 1.3× 258 1.2× 281 1.4× 85 0.4× 13 1.1k
Fiona Knox 417 0.7× 220 0.8× 555 2.6× 335 1.6× 268 1.3× 26 1.2k
Seon‐Hee Yim 282 0.5× 458 1.6× 227 1.1× 109 0.5× 192 1.0× 41 1.2k
Jenna Lilyquist 638 1.1× 432 1.5× 545 2.6× 293 1.4× 89 0.4× 19 1.2k
Danielle Antin‐Ozerkis 184 0.3× 359 1.3× 113 0.5× 177 0.9× 651 3.2× 28 1.2k

Countries citing papers authored by Michael D. Badzioch

Since Specialization
Citations

This map shows the geographic impact of Michael D. Badzioch'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 D. Badzioch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Badzioch more than expected).

Fields of papers citing papers by Michael D. Badzioch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Badzioch. 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 D. Badzioch. The network helps show where Michael D. Badzioch may publish in the future.

Co-authorship network of co-authors of Michael D. Badzioch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Badzioch. A scholar is included among the top collaborators of Michael D. Badzioch 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 D. Badzioch. Michael D. Badzioch 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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