Danielle Tullman‐Ercek

3.4k total citations
66 papers, 2.4k citations indexed

About

Danielle Tullman‐Ercek is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Danielle Tullman‐Ercek has authored 66 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 31 papers in Genetics and 29 papers in Ecology. Recurrent topics in Danielle Tullman‐Ercek's work include Bacteriophages and microbial interactions (28 papers), Bacterial Genetics and Biotechnology (28 papers) and RNA and protein synthesis mechanisms (14 papers). Danielle Tullman‐Ercek is often cited by papers focused on Bacteriophages and microbial interactions (28 papers), Bacterial Genetics and Biotechnology (28 papers) and RNA and protein synthesis mechanisms (14 papers). Danielle Tullman‐Ercek collaborates with scholars based in United States, Philippines and Russia. Danielle Tullman‐Ercek's co-authors include George Georgiou, Christopher M. Jakobson, Jeff E. Glasgow, Edward Y. Kim, Matthew B. Francis, Christopher A. Voigt, Bon Ikwuagwu, Nolan W. Kennedy, Jay D. Keasling and Emily C. Hartman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Danielle Tullman‐Ercek

63 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Tullman‐Ercek United States 27 1.7k 643 591 451 228 66 2.4k
Gabriel A. Monteiro Portugal 28 2.0k 1.2× 576 0.9× 813 1.4× 390 0.9× 312 1.4× 116 2.9k
Susanne Wilhelm Germany 24 1.6k 0.9× 319 0.5× 477 0.8× 265 0.6× 163 0.7× 41 2.1k
Li Zhu China 26 1.3k 0.8× 270 0.4× 219 0.4× 457 1.0× 159 0.7× 127 2.4k
Germán L. Rosano Argentina 12 1.9k 1.1× 272 0.4× 448 0.8× 188 0.4× 364 1.6× 24 2.4k
Seok Hoon Hong United States 28 1.8k 1.1× 853 1.3× 928 1.6× 441 1.0× 158 0.7× 39 3.0k
Octavio T. Ramı́rez Mexico 36 3.1k 1.9× 289 0.4× 807 1.4× 1.1k 2.4× 533 2.3× 120 4.2k
Rachele Isticato Italy 26 930 0.6× 745 1.2× 449 0.8× 185 0.4× 328 1.4× 79 2.0k
Kim Kusk Mortensen Denmark 21 2.1k 1.3× 331 0.5× 676 1.1× 221 0.5× 376 1.6× 42 2.7k
Karl Friehs Germany 26 1.4k 0.8× 189 0.3× 360 0.6× 394 0.9× 224 1.0× 78 1.8k
Jon Marles‐Wright United Kingdom 26 1.3k 0.8× 315 0.5× 440 0.7× 219 0.5× 257 1.1× 58 2.2k

Countries citing papers authored by Danielle Tullman‐Ercek

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Tullman‐Ercek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Tullman‐Ercek. 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 Danielle Tullman‐Ercek. The network helps show where Danielle Tullman‐Ercek may publish in the future.

Co-authorship network of co-authors of Danielle Tullman‐Ercek

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

All Works

20 of 20 papers shown
1.
Tullman‐Ercek, Danielle, et al.. (2025). Engineering bacterial microcompartments to enable sustainable microbial bioproduction from C1 greenhouse gases. Current Opinion in Biotechnology. 93. 103299–103299.
2.
Mangan, Niall M., et al.. (2025). Encapsulation of select violacein pathway enzymes in the 1,2-propanediol utilization bacterial microcompartment to divert pathway flux. Metabolic Engineering. 91. 91–102. 2 indexed citations
3.
4.
Karim, Ashty S., Ludmilla Aristilde, Yogesh Goyal, et al.. (2024). Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists. Nature Communications. 15(1). 5425–5425. 6 indexed citations
5.
Kennedy, Nolan W., et al.. (2023). Kinetic Growth of Multicomponent Microcompartment Shells. ACS Nano. 17(16). 15751–15762. 4 indexed citations
6.
Ikwuagwu, Bon, Emily C. Hartman, Carolyn E. Mills, & Danielle Tullman‐Ercek. (2023). Systematic engineering of virus-like particles to identify self-assembly rules for shifting particle size. Virology. 579. 137–147. 7 indexed citations
7.
Wang, Qifeng, et al.. (2022). Quantitative high-throughput measurement of bulk mechanical properties using commonly available equipment. Materials Horizons. 10(1). 97–106. 4 indexed citations
8.
Kennedy, Nolan W., et al.. (2022). Linking the Salmonella enterica 1,2-Propanediol Utilization Bacterial Microcompartment Shell to the Enzymatic Core via the Shell Protein PduB. Journal of Bacteriology. 204(9). e0057621–e0057621. 12 indexed citations
9.
Berger, Or, Claudia Battistella, Julia Oktawiec, et al.. (2022). Mussel Adhesive-Inspired Proteomimetic Polymer. Journal of the American Chemical Society. 144(10). 4383–4392. 35 indexed citations
10.
Mills, Carolyn E., Nolan W. Kennedy, Eric W. Roth, et al.. (2022). Vertex protein PduN tunes encapsulated pathway performance by dictating bacterial metabolosome morphology. Nature Communications. 13(1). 3746–3746. 19 indexed citations
11.
McFarland, Alexander, Nolan W. Kennedy, Carolyn E. Mills, et al.. (2021). Density-based binning of gene clusters to infer function or evolutionary history using GeneGrouper. Bioinformatics. 38(3). 612–620. 3 indexed citations
12.
Kennedy, Nolan W., et al.. (2021). Bacterial microcompartments: tiny organelles with big potential. Current Opinion in Microbiology. 63. 36–42. 32 indexed citations
13.
Glasscock, Cameron J., Bradley W. Biggs, Min‐Kyoung Kang, et al.. (2021). Dynamic Control of Gene Expression with Riboregulated Switchable Feedback Promoters. ACS Synthetic Biology. 10(5). 1199–1213. 24 indexed citations
14.
Li, Yaohua, Nolan W. Kennedy, Siyu Li, et al.. (2021). Computational and Experimental Approaches to Controlling Bacterial Microcompartment Assembly. ACS Central Science. 7(4). 658–670. 20 indexed citations
15.
Wang, Qifeng, et al.. (2021). High-Throughput Screening Test for Adhesion in Soft Materials Using Centrifugation. ACS Central Science. 7(7). 1135–1143. 11 indexed citations
16.
Tullman‐Ercek, Danielle, et al.. (2021). An optimized growth medium for increased recombinant protein secretion titer via the type III secretion system. Microbial Cell Factories. 20(1). 44–44. 9 indexed citations
17.
Kennedy, Nolan W., et al.. (2020). A genomic integration platform for heterologous cargo encapsulation in 1,2-propanediol utilization bacterial microcompartments. Biochemical Engineering Journal. 156. 107496–107496. 15 indexed citations
18.
Kafader, Jared O., Rafael D. Melani, Kenneth R. Durbin, et al.. (2020). Multiplexed mass spectrometry of individual ions improves measurement of proteoforms and their complexes. Nature Methods. 17(4). 391–394. 140 indexed citations
19.
Kennedy, Nolan W., Jasmine M. Hershewe, Eric W. Roth, et al.. (2020). Apparent size and morphology of bacterial microcompartments varies with technique. PLoS ONE. 15(3). e0226395–e0226395. 25 indexed citations
20.
Jakobson, Christopher M., et al.. (2017). A systems-level model reveals that 1,2-Propanediol utilization microcompartments enhance pathway flux through intermediate sequestration. PLoS Computational Biology. 13(5). e1005525–e1005525. 55 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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