Benjamin Kaufmann-Malaga

1.3k total citations
9 papers, 878 citations indexed

About

Benjamin Kaufmann-Malaga is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Benjamin Kaufmann-Malaga has authored 9 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Benjamin Kaufmann-Malaga's work include Gene Regulatory Network Analysis (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Benjamin Kaufmann-Malaga is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Benjamin Kaufmann-Malaga collaborates with scholars based in United States. Benjamin Kaufmann-Malaga's co-authors include Alexander van Oudenaarden, Attila Becskei, Deborah T. Hung, Nathan Haseley, Sarah Schmidt Grant, Jerome T. Mettetal, Qiong Yang, Michael D. Leavell, Amoolya H. Singh and James Gomez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Nature Methods.

In The Last Decade

Benjamin Kaufmann-Malaga

9 papers receiving 866 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Kaufmann-Malaga United States 9 626 207 138 102 90 9 878
Marcel Tigges Switzerland 12 824 1.3× 168 0.8× 141 1.0× 40 0.4× 87 1.0× 12 1.0k
Michael S. Van Nieuwenhze United States 9 457 0.7× 179 0.9× 84 0.6× 70 0.7× 54 0.6× 12 791
Balázs Szappanos Hungary 15 824 1.3× 403 1.9× 267 1.9× 63 0.6× 127 1.4× 22 1.3k
Alexandre Colavin United States 12 922 1.5× 646 3.1× 90 0.7× 50 0.5× 47 0.5× 14 1.2k
Anna G. Green United States 15 911 1.5× 288 1.4× 64 0.5× 69 0.7× 22 0.2× 21 1.2k
Shimon Bershtein Israel 14 1.1k 1.8× 641 3.1× 80 0.6× 51 0.5× 92 1.0× 27 1.5k
Nathan Mih United States 15 1.1k 1.7× 178 0.9× 44 0.3× 84 0.8× 304 3.4× 20 1.2k
Nathan Haseley United States 7 309 0.5× 94 0.5× 106 0.8× 151 1.5× 26 0.3× 8 572
Xavier Méniche France 12 366 0.6× 208 1.0× 72 0.5× 221 2.2× 33 0.4× 13 609

Countries citing papers authored by Benjamin Kaufmann-Malaga

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Kaufmann-Malaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Kaufmann-Malaga. 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 Benjamin Kaufmann-Malaga. The network helps show where Benjamin Kaufmann-Malaga may publish in the future.

Co-authorship network of co-authors of Benjamin Kaufmann-Malaga

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Kaufmann-Malaga. A scholar is included among the top collaborators of Benjamin Kaufmann-Malaga 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 Benjamin Kaufmann-Malaga. Benjamin Kaufmann-Malaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lefebvre, Austin E.Y.T., et al.. (2025). Nellie: automated organelle segmentation, tracking and hierarchical feature extraction in 2D/3D live-cell microscopy. Nature Methods. 22(4). 751–763. 8 indexed citations
2.
Leavell, Michael D., Amoolya H. Singh, & Benjamin Kaufmann-Malaga. (2019). High-throughput screening for improved microbial cell factories, perspective and promise. Current Opinion in Biotechnology. 62. 22–28. 46 indexed citations
3.
Siltanen, Christian, Russell H. Cole, Sean Poust, et al.. (2018). An Oil-Free Picodrop Bioassay Platform for Synthetic Biology. Scientific Reports. 8(1). 7913–7913. 18 indexed citations
4.
Gomez, James, Benjamin Kaufmann-Malaga, Carl N. Wivagg, et al.. (2017). Ribosomal mutations promote the evolution of antibiotic resistance in a multidrug environment. eLife. 6. 51 indexed citations
5.
Grant, Sarah Schmidt, et al.. (2012). Eradication of bacterial persisters with antibiotic-generated hydroxyl radicals. Proceedings of the National Academy of Sciences. 109(30). 12147–12152. 205 indexed citations
6.
Barczak, Amy K., James Gomez, Benjamin Kaufmann-Malaga, et al.. (2012). RNA signatures allow rapid identification of pathogens and antibiotic susceptibilities. Proceedings of the National Academy of Sciences. 109(16). 6217–6222. 86 indexed citations
7.
Kaufmann-Malaga, Benjamin & Alexander van Oudenaarden. (2007). Stochastic gene expression: from single molecules to the proteome. Current Opinion in Genetics & Development. 17(2). 107–112. 129 indexed citations
8.
Kaufmann-Malaga, Benjamin, Qiong Yang, Jerome T. Mettetal, & Alexander van Oudenaarden. (2007). Heritable Stochastic Switching Revealed by Single-Cell Genealogy. PLoS Biology. 5(9). e239–e239. 87 indexed citations
9.
Becskei, Attila, Benjamin Kaufmann-Malaga, & Alexander van Oudenaarden. (2005). Contributions of low molecule number and chromosomal positioning to stochastic gene expression. Nature Genetics. 37(9). 937–944. 248 indexed citations

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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