Margareta Tuckman

27 total papers · 1.3k total citations
24 papers, 1.0k citations indexed

About

Margareta Tuckman is a scholar working on Molecular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Margareta Tuckman has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Medicine, 10 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Margareta Tuckman's work include Antibiotic Resistance in Bacteria (12 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Bacterial Genetics and Biotechnology (5 papers). Margareta Tuckman is often cited by papers focused on Antibiotic Resistance in Bacteria (12 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Bacterial Genetics and Biotechnology (5 papers). Margareta Tuckman collaborates with scholars based in United States, France and Canada. Margareta Tuckman's co-authors include William R. Jacobs, Barry R. Bloom, Patricia A. Bradford, Peter J. Petersen, C. Hal Jones, Marcia S. Osburne, Steven J. Projan, Alexey Ruzin, David M. Rothstein and Anita Y. M. Howe and has published in prestigious journals such as Nature, Clinical Infectious Diseases and Journal of Bacteriology.

In The Last Decade

Margareta Tuckman

24 papers receiving 957 citations

Author Peers

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

Author Last Decade Papers Cites
Margareta Tuckman 424 355 281 275 188 24 1.0k
Claude Mabilat 449 1.1× 317 0.9× 253 0.9× 278 1.0× 128 0.7× 21 1.0k
Debra M. Mills 556 1.3× 250 0.7× 228 0.8× 254 0.9× 117 0.6× 14 1.2k
Brian J. Morrow 358 0.8× 441 1.2× 199 0.7× 284 1.0× 86 0.5× 33 1.1k
Lilian Pumbwe 478 1.1× 362 1.0× 132 0.5× 305 1.1× 92 0.5× 24 1.0k
Marie Lavollay 605 1.4× 312 0.9× 506 1.8× 421 1.5× 102 0.5× 12 1.1k
Yoon I. Kwak 788 1.9× 341 1.0× 204 0.7× 177 0.6× 115 0.6× 36 1.1k
Meritxell García‐Quintanilla 516 1.2× 331 0.9× 145 0.5× 204 0.7× 224 1.2× 35 1.2k
Gianfranco De Pascale 507 1.2× 483 1.4× 224 0.8× 264 1.0× 75 0.4× 20 1.1k
Gracia Morales 325 0.8× 749 2.1× 131 0.5× 332 1.2× 107 0.6× 19 1.2k
Monique Malléa 791 1.9× 391 1.1× 108 0.4× 170 0.6× 105 0.6× 23 1.2k

Countries citing papers authored by Margareta Tuckman

Since Specialization
Citations

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

Fields of papers citing papers by Margareta Tuckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margareta Tuckman

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