Mary M. Criddle

10 total papers · 791 total citations
9 papers, 587 citations indexed

About

Mary M. Criddle is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Emergency Medical Services. According to data from OpenAlex, Mary M. Criddle has authored 9 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Epidemiology and 4 papers in Emergency Medical Services. Recurrent topics in Mary M. Criddle's work include Respiratory viral infections research (6 papers), Pediatric health and respiratory diseases (4 papers) and Respiratory and Cough-Related Research (3 papers). Mary M. Criddle is often cited by papers focused on Respiratory viral infections research (6 papers), Pediatric health and respiratory diseases (4 papers) and Respiratory and Cough-Related Research (3 papers). Mary M. Criddle collaborates with scholars based in United States. Mary M. Criddle's co-authors include Ann R. Falsey, Maria A. Formica, Robert M. McCann, William J. Hall, Edward E. Walsh, Patricia Hennessey, John E. Kolassa, Wayne M. Sullender, Kenneth L. Becker and Eric Nylén and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, The Journal of Infectious Diseases and Journal of the American Geriatrics Society.

In The Last Decade

Mary M. Criddle

9 papers receiving 564 citations

Author Peers

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

Author Last Decade Papers Cites
Mary M. Criddle 460 207 193 59 42 9 587
Enrica Begliatti 420 0.9× 104 0.5× 140 0.7× 23 0.4× 14 0.3× 11 516
Rogier R. Jansen 459 1.0× 93 0.4× 325 1.7× 38 0.6× 15 0.4× 19 582
Cecilia M Carubelli 527 1.1× 282 1.4× 99 0.5× 25 0.4× 57 1.4× 8 594
Alberto Zampiero 404 0.9× 133 0.6× 214 1.1× 25 0.4× 84 2.0× 23 638
W. Paul Glezen 410 0.9× 78 0.4× 148 0.8× 22 0.4× 28 0.7× 14 521
Lars Öhrmalm 369 0.8× 92 0.4× 141 0.7× 23 0.4× 38 0.9× 19 570
I. D. Allan 513 1.1× 80 0.4× 126 0.7× 22 0.4× 46 1.1× 15 657
Samuel Rhedin 350 0.8× 102 0.5× 173 0.9× 23 0.4× 20 0.5× 28 591
Federico R. Laham 578 1.3× 274 1.3× 241 1.2× 34 0.6× 96 2.3× 26 674
Bart E. van Ewijk 339 0.7× 281 1.4× 116 0.6× 79 1.3× 27 0.6× 18 541

Countries citing papers authored by Mary M. Criddle

Since Specialization
Citations

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

Fields of papers citing papers by Mary M. Criddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary M. Criddle

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