Alek Erickson

656 total citations
10 papers, 258 citations indexed

About

Alek Erickson is a scholar working on Molecular Biology, Cell Biology and Rheumatology. According to data from OpenAlex, Alek Erickson has authored 10 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Rheumatology. Recurrent topics in Alek Erickson's work include Cellular Mechanics and Interactions (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and 3D Printing in Biomedical Research (3 papers). Alek Erickson is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and 3D Printing in Biomedical Research (3 papers). Alek Erickson collaborates with scholars based in Sweden, United States and Austria. Alek Erickson's co-authors include Andrew T. Dudley, Sangjin Ryu, Dong-Hee Lee, Igor Adameyko, Taesun You, Polina Kameneva, Kaj Fried, Louis Faure, Markéta Kaucká and Sarah M. Romereim and has published in prestigious journals such as Nature Communications, The EMBO Journal and Lab on a Chip.

In The Last Decade

Alek Erickson

10 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alek Erickson Sweden	7	99	71	55	46	40	10	258
Ming‐Song Lee United States	10	120 1.2×	106 1.5×	40 0.7×	77 1.7×	34 0.8×	15	351
Sardar M.Z. Uddin United States	11	86 0.9×	136 1.9×	38 0.7×	43 0.9×	74 1.9×	14	381
Hidenari Nakayama Japan	10	123 1.2×	111 1.6×	25 0.5×	29 0.6×	36 0.9×	22	434
Brandon J. Ausk United States	11	168 1.7×	59 0.8×	98 1.8×	62 1.3×	30 0.8×	19	414
Maria H. Alanne Finland	9	126 1.3×	21 0.3×	40 0.7×	30 0.7×	40 1.0×	11	324
Philaiporn Vivatbutsiri Thailand	5	248 2.5×	27 0.4×	19 0.3×	51 1.1×	23 0.6×	7	395
Michaela Procházková United States	14	300 3.0×	40 0.6×	30 0.5×	38 0.8×	76 1.9×	39	498
Alan W. Leung United States	10	334 3.4×	82 1.2×	34 0.6×	59 1.3×	11 0.3×	14	450
Gina Beck United States	8	70 0.7×	62 0.9×	13 0.2×	151 3.3×	54 1.4×	9	369

Countries citing papers authored by Alek Erickson

Since Specialization

Citations

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

Fields of papers citing papers by Alek Erickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alek Erickson

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

All Works

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10 of 10 papers shown

1.

Erickson, Alek, Maria Eleni Kastriti, Fanny Coulpier, et al.. (2024). Motor innervation directs the correct development of the mouse sympathetic nervous system. Nature Communications. 15(1). 7065–7065. 2 indexed citations

2.

Sunadome, Kazunori, Alek Erickson, Delf Kah, et al.. (2023). Directionality of developing skeletal muscles is set by mechanical forces. Nature Communications. 14(1). 3060–3060. 24 indexed citations

3.

Laddach, Anna, Song Hui Chng, Reena Lasrado, et al.. (2023). A branching model of lineage differentiation underpinning the neurogenic potential of enteric glia. Nature Communications. 14(1). 5904–5904. 28 indexed citations

4.

Kastriti, Maria Eleni, Louis Faure, Thibault Bouderlique, et al.. (2022). Schwann cell precursors represent a neural crest‐like state with biased multipotency. The EMBO Journal. 41(17). e108780–e108780. 63 indexed citations

5.

Erickson, Alek, Polina Kameneva, & Igor Adameyko. (2022). The transcriptional portraits of the neural crest at the individual cell level. Seminars in Cell and Developmental Biology. 138. 68–80. 28 indexed citations

6.

Lee, Dong-Hee, Alek Erickson, Andrew T. Dudley, & Sangjin Ryu. (2019). A Microfluidic Platform for Stimulating Chondrocytes with Dynamic Compression. Journal of Visualized Experiments. 4 indexed citations

7.

Lee, Dong-Hee, Alek Erickson, Andrew T. Dudley, & Sangjin Ryu. (2019). A Microfluidic Platform for Stimulating Chondrocytes with Dynamic Compression. Journal of Visualized Experiments. 4 indexed citations

8.

Lee, Dong-Hee, Alek Erickson, Andrew T. Dudley, & Sangjin Ryu. (2018). Mechanical Stimulation of Growth Plate Chondrocytes: Previous Approaches and Future Directions. Experimental Mechanics. 59(9). 1261–1274. 25 indexed citations

9.

Lee, Dong-Hee, Alek Erickson, Taesun You, Andrew T. Dudley, & Sangjin Ryu. (2018). Pneumatic microfluidic cell compression device for high-throughput study of chondrocyte mechanobiology. Lab on a Chip. 18(14). 2077–2086. 59 indexed citations

10.

Erickson, Alek, et al.. (2017). A Tunable, Three-Dimensional In Vitro Culture Model of Growth Plate Cartilage Using Alginate Hydrogel Scaffolds. Tissue Engineering Part A. 24(1-2). 94–105. 21 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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