Donata Sizemore

30 total papers · 2.3k total citations
24 papers, 1.1k citations indexed

About

Donata Sizemore is a scholar working on Infectious Diseases, Endocrinology and Immunology. According to data from OpenAlex, Donata Sizemore has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 8 papers in Endocrinology and 7 papers in Immunology. Recurrent topics in Donata Sizemore's work include Tuberculosis Research and Epidemiology (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). Donata Sizemore is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). Donata Sizemore collaborates with scholars based in United States, Sweden and Netherlands. Donata Sizemore's co-authors include Kenneth L. Roland, Roy Curtiss, Jerald Sadoff, Arthur Branstrom, Daniel F. Hoft, Jerry Sadoff, Frank Weichold, Christopher S. Eickhoff, Markus Maeurer and Yasir A. W. Skeiky and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Donata Sizemore

24 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Donata Sizemore 532 371 277 267 261 24 1.1k
Jürgen Hess 410 0.8× 430 1.2× 195 0.7× 347 1.3× 178 0.7× 28 1.3k
Joshua Tobias 604 1.1× 295 0.8× 636 2.3× 285 1.1× 143 0.5× 52 1.4k
Lisa A. Cummings 358 0.7× 188 0.5× 312 1.1× 492 1.8× 217 0.8× 22 1.3k
Frederick J. Cassels 433 0.8× 249 0.7× 481 1.7× 387 1.4× 91 0.3× 37 1.2k
Helen S. Garmory 383 0.7× 166 0.4× 164 0.6× 403 1.5× 144 0.6× 18 1.0k
Laurence du Merle 463 0.9× 215 0.6× 396 1.4× 404 1.5× 197 0.8× 30 1.4k
P Courcoux 242 0.5× 320 0.9× 348 1.3× 324 1.2× 122 0.5× 13 1.4k
Naima G. Cortes‐Perez 314 0.6× 306 0.8× 126 0.5× 522 2.0× 216 0.8× 34 1.4k
Antoinette B. Hartman 697 1.3× 364 1.0× 776 2.8× 216 0.8× 101 0.4× 34 1.4k
Tobias Schlapp 382 0.7× 179 0.5× 304 1.1× 170 0.6× 144 0.6× 29 991

Countries citing papers authored by Donata Sizemore

Since Specialization
Citations

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

Fields of papers citing papers by Donata Sizemore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donata Sizemore. 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 Donata Sizemore. The network helps show where Donata Sizemore may publish in the future.

Co-authorship network of co-authors of Donata Sizemore

This figure shows the co-authorship network connecting the top 25 collaborators of Donata Sizemore. A scholar is included among the top collaborators of Donata Sizemore 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 Donata Sizemore. Donata Sizemore 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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