Michael Erickstad

727 total citations
10 papers, 463 citations indexed

About

Michael Erickstad is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Michael Erickstad has authored 10 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Michael Erickstad's work include Gene Regulatory Network Analysis (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Protein Structure and Dynamics (2 papers). Michael Erickstad is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Protein Structure and Dynamics (2 papers). Michael Erickstad collaborates with scholars based in United States, Australia and Germany. Michael Erickstad's co-authors include Alex Groisman, Yonggun Jun, Suckjoon Jun, Xintian Li, Fangwei Si, Omid Azizi, Cindy Sou, Sarah Cox, Dongyang Li and John T. Sauls and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Michael Erickstad

10 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Erickstad United States 8 259 146 123 81 51 10 463
Sima Setayeshgar United States 12 463 1.8× 136 0.9× 158 1.3× 56 0.7× 57 1.1× 17 697
Matthias D. Koch United States 11 220 0.8× 69 0.5× 125 1.0× 54 0.7× 90 1.8× 26 396
Beatrice Ramm Germany 12 392 1.5× 121 0.8× 129 1.0× 103 1.3× 94 1.8× 18 550
Ashley L. Nord France 12 312 1.2× 83 0.6× 99 0.8× 32 0.4× 59 1.2× 25 443
Bradley C. Steel United Kingdom 12 264 1.0× 106 0.7× 116 0.9× 26 0.3× 47 0.9× 16 445
Mostyn T. Brown United Kingdom 5 272 1.1× 132 0.9× 76 0.6× 26 0.3× 63 1.2× 5 380
Yi Deng United States 11 240 0.9× 121 0.8× 100 0.8× 86 1.1× 67 1.3× 18 533
Jonas Mücksch Germany 11 302 1.2× 71 0.5× 93 0.8× 86 1.1× 68 1.3× 16 449
Basarab G. Hosu United States 9 359 1.4× 138 0.9× 243 2.0× 80 1.0× 65 1.3× 12 638
Grzegorz Chwastek Germany 12 374 1.4× 57 0.4× 89 0.7× 69 0.9× 44 0.9× 15 479

Countries citing papers authored by Michael Erickstad

Since Specialization
Citations

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

Fields of papers citing papers by Michael Erickstad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Erickstad

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

All Works

10 of 10 papers shown
1.
Erickstad, Michael, et al.. (2020). Aggregation Temperature of Escherichia coli Depends on Steepness of the Thermal Gradient. Biophysical Journal. 118(11). 2816–2828. 6 indexed citations
2.
Si, Fangwei, Dongyang Li, Sarah Cox, et al.. (2017). Invariance of Initiation Mass and Predictability of Cell Size in Escherichia coli. Current Biology. 27(9). 1278–1287. 150 indexed citations
3.
Paulick, Anja, Vladimir Jakovljevic, Michael Erickstad, et al.. (2017). Mechanism of bidirectional thermotaxis in Escherichia coli. eLife. 6. 44 indexed citations
4.
Li, Xintian, Yonggun Jun, Michael Erickstad, et al.. (2016). tCRISPRi: tunable and reversible, one-step control of gene expression. Scientific Reports. 6(1). 39076–39076. 46 indexed citations
5.
Skoge, Monica, Michael Erickstad, Albert Bae, et al.. (2014). Cellular memory in eukaryotic chemotaxis. Proceedings of the National Academy of Sciences. 111(40). 14448–14453. 96 indexed citations
6.
Polinkovsky, Mark, Yann Gambin, Priya R. Banerjee, et al.. (2014). Ultrafast cooling reveals microsecond-scale biomolecular dynamics. Nature Communications. 5(1). 5737–5737. 24 indexed citations
7.
Erickstad, Michael, et al.. (2014). A low-cost low-maintenance ultraviolet lithography light source based on light-emitting diodes. Lab on a Chip. 15(1). 57–61. 25 indexed citations
8.
Erickstad, Michael, Laura A. Hale, Sreekanth H. Chalasani, & Alex Groisman. (2014). A microfluidic system for studying the behavior of zebrafish larvae under acute hypoxia. Lab on a Chip. 15(3). 857–866. 32 indexed citations
9.
Erickstad, Michael, Loïc Tadrist, & Alex Groisman. (2012). A Microfluidic Device for High Throughput Measurements of Thermotaxis. Biophysical Journal. 102(3). 151a–151a. 2 indexed citations
10.
Adler, Micha, Michael Erickstad, Edgar Gutierrez, & Alex Groisman. (2012). Studies of bacterial aerotaxis in a microfluidic device. Lab on a Chip. 12(22). 4835–4835. 38 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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