Monique Putman

23 total papers · 2.6k total citations
20 papers, 2.1k citations indexed

About

Monique Putman is a scholar working on Oncology, Molecular Medicine and Molecular Biology. According to data from OpenAlex, Monique Putman has authored 20 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Molecular Medicine and 7 papers in Molecular Biology. Recurrent topics in Monique Putman's work include Drug Transport and Resistance Mechanisms (12 papers), Antibiotic Resistance in Bacteria (10 papers) and Cancer therapeutics and mechanisms (6 papers). Monique Putman is often cited by papers focused on Drug Transport and Resistance Mechanisms (12 papers), Antibiotic Resistance in Bacteria (10 papers) and Cancer therapeutics and mechanisms (6 papers). Monique Putman collaborates with scholars based in Netherlands, Austria and United Kingdom. Monique Putman's co-authors include Hendrik W. van Veen, Wil N. Konings, W N Konings, Abelardo Margollés, Bert Poolman, Arnold J. M. Driessen, Henk Bolhuis, John E. Degener, Kanta Sakamoto and Gerrit J. Poelarends and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Monique Putman

18 papers receiving 2.0k citations

Hit Papers

Handbook of Biological Ph... 1996 2026 2006 2016 1996 2000 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Monique Putman 985 576 517 281 200 20 2.1k
Ning G. Pon 1.2k 1.2× 556 1.0× 183 0.4× 374 1.3× 120 0.6× 33 2.1k
Gerry McDermott 1.3k 1.3× 457 0.8× 271 0.5× 335 1.2× 56 0.3× 54 2.9k
Anita R. Sielecki 2.1k 2.2× 338 0.6× 377 0.7× 158 0.6× 78 0.4× 24 2.9k
Jean M. Ghuysen 1.0k 1.0× 316 0.5× 341 0.7× 221 0.8× 183 0.9× 41 1.8k
C. Petit 1.1k 1.1× 96 0.2× 263 0.5× 258 0.9× 148 0.7× 30 2.4k
Eric R. Geertsma 1.5k 1.5× 158 0.3× 379 0.7× 447 1.6× 110 0.6× 48 2.3k
Kishiko Nikaido 2.1k 2.1× 252 0.4× 810 1.6× 936 3.3× 165 0.8× 31 3.3k
Vassiliy N. Bavro 938 1.0× 677 1.2× 193 0.4× 456 1.6× 87 0.4× 47 1.9k
L B Chen 1.4k 1.4× 181 0.3× 408 0.8× 154 0.5× 40 0.2× 12 2.7k
Jani Reddy Bolla 1.3k 1.3× 355 0.6× 161 0.3× 356 1.3× 77 0.4× 57 2.3k

Countries citing papers authored by Monique Putman

Since Specialization
Citations

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

Fields of papers citing papers by Monique Putman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monique Putman

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