Marie M. Riddle

51 total papers · 1.4k total citations
48 papers, 1.1k citations indexed

About

Marie M. Riddle is a scholar working on Immunology, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Marie M. Riddle has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 16 papers in Health, Toxicology and Mutagenesis and 11 papers in Molecular Biology. Recurrent topics in Marie M. Riddle's work include Immunotoxicology and immune responses (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers) and Immune Cell Function and Interaction (7 papers). Marie M. Riddle is often cited by papers focused on Immunotoxicology and immune responses (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers) and Immune Cell Function and Interaction (7 papers). Marie M. Riddle collaborates with scholars based in United States. Marie M. Riddle's co-authors include Ralph J. Smialowicz, Ronald R. Rogers, Roger W. Turkington, Robert W. Luebke, Wanda C. Williams, Bradley Gehrs, Carey B. Copeland, R. J. Garner, Janet J. Diliberto and Gopal C. Majumder and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and Environmental Research.

In The Last Decade

Marie M. Riddle

48 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Marie M. Riddle 428 398 241 214 116 48 1.1k
Dawn G. Goodman 214 0.5× 252 0.6× 388 1.6× 280 1.3× 194 1.7× 27 1.4k
James R. Hailey 241 0.6× 113 0.3× 237 1.0× 341 1.6× 111 1.0× 33 1.1k
Ronald A. Herbert 282 0.7× 117 0.3× 327 1.4× 234 1.1× 61 0.5× 42 1.1k
Amar V. Singh 408 1.0× 145 0.4× 472 2.0× 195 0.9× 166 1.4× 30 1.3k
Chuan Yan 146 0.3× 179 0.4× 448 1.9× 162 0.8× 53 0.5× 34 1.1k
Charles E. Wood 334 0.8× 151 0.4× 471 2.0× 212 1.0× 98 0.8× 59 1.4k
Anne N. Tucker 254 0.6× 309 0.8× 335 1.4× 182 0.9× 63 0.5× 35 1.1k
L. David Wise 264 0.6× 109 0.3× 313 1.3× 105 0.5× 72 0.6× 49 1.5k
Yoki Mori 683 1.6× 196 0.5× 231 1.0× 239 1.1× 40 0.3× 39 1.4k
Rosemarie Osborne 233 0.5× 212 0.5× 270 1.1× 186 0.9× 291 2.5× 37 1.5k

Countries citing papers authored by Marie M. Riddle

Since Specialization
Citations

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

Fields of papers citing papers by Marie M. Riddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie M. Riddle. 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 Marie M. Riddle. The network helps show where Marie M. Riddle may publish in the future.

Co-authorship network of co-authors of Marie M. Riddle

This figure shows the co-authorship network connecting the top 25 collaborators of Marie M. Riddle. A scholar is included among the top collaborators of Marie M. Riddle 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 Marie M. Riddle. Marie M. Riddle 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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