Dobryan M. Tracz

29 total papers · 1.4k total citations
26 papers, 971 citations indexed

About

Dobryan M. Tracz is a scholar working on Endocrinology, Infectious Diseases and Genetics. According to data from OpenAlex, Dobryan M. Tracz has authored 26 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, 9 papers in Infectious Diseases and 9 papers in Genetics. Recurrent topics in Dobryan M. Tracz's work include Viral gastroenteritis research and epidemiology (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Escherichia coli research studies (7 papers). Dobryan M. Tracz is often cited by papers focused on Viral gastroenteritis research and epidemiology (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Escherichia coli research studies (7 papers). Dobryan M. Tracz collaborates with scholars based in Canada, Germany and United States. Dobryan M. Tracz's co-authors include Diane E. Taylor, Sean R. Connell, Knud H. Nierhaus, Matthew W. Gilmour, Amera Gibreel, Cindi R. Corbett, Lisa Nonaka, Lai-King Ng, Adam B. Olson and David A. Boyd and has published in prestigious journals such as Journal of Bacteriology, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Dobryan M. Tracz

25 papers receiving 922 citations

Author Peers

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

Author Last Decade Papers Cites
Dobryan M. Tracz 339 322 290 263 254 26 971
Jane Pritchard 302 0.9× 327 1.0× 239 0.8× 202 0.8× 246 1.0× 30 1.0k
Tariq Ali 446 1.3× 262 0.8× 300 1.0× 240 0.9× 343 1.4× 46 1.2k
Lei Dai 326 1.0× 423 1.3× 310 1.1× 136 0.5× 216 0.9× 38 957
Anne Margrete Urdahl 263 0.8× 432 1.3× 250 0.9× 371 1.4× 176 0.7× 50 933
Julie Haendiges 329 1.0× 162 0.5× 367 1.3× 307 1.2× 329 1.3× 20 984
Masakado Matsumoto 287 0.8× 436 1.4× 255 0.9× 299 1.1× 176 0.7× 49 1.0k
Rikke Heidemann Olsen 393 1.2× 192 0.6× 339 1.2× 330 1.3× 204 0.8× 61 1000
Jessica L. Danzeisen 483 1.4× 183 0.6× 323 1.1× 276 1.0× 457 1.8× 17 1.2k
Takehiro Tomita 280 0.8× 326 1.0× 406 1.4× 272 1.0× 383 1.5× 15 1.2k
Judit Pászti 357 1.1× 316 1.0× 613 2.1× 354 1.3× 274 1.1× 46 1.1k

Countries citing papers authored by Dobryan M. Tracz

Since Specialization
Citations

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

Fields of papers citing papers by Dobryan M. Tracz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dobryan M. Tracz

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