Karen Echeverri

1.5k total citations
33 papers, 1.1k citations indexed

About

Karen Echeverri is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Karen Echeverri has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Developmental Neuroscience. Recurrent topics in Karen Echeverri's work include Developmental Biology and Gene Regulation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Nerve injury and regeneration (8 papers). Karen Echeverri is often cited by papers focused on Developmental Biology and Gene Regulation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Nerve injury and regeneration (8 papers). Karen Echeverri collaborates with scholars based in United States, Germany and United Kingdom. Karen Echeverri's co-authors include Elly M. Tanaka, Jonathan D. W. Clarke, Jami R. Erickson, Tina Sehm, Andrew C. Oates, Christoph Sachse, Micah D. Gearhart, Eve C. Tsai, Michael Levin and Vaibhav P. Pai and has published in prestigious journals such as Science, Development and Biochemical Journal.

In The Last Decade

Karen Echeverri

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Echeverri United States 17 806 206 165 153 153 33 1.1k
Ellen A.G. Chernoff United States 20 594 0.7× 262 1.3× 98 0.6× 142 0.9× 239 1.6× 37 1.1k
Maritta Schuez Germany 12 841 1.0× 86 0.4× 69 0.4× 169 1.1× 64 0.4× 15 1.1k
Caroline W. Beck New Zealand 21 1.2k 1.5× 187 0.9× 89 0.5× 98 0.6× 66 0.4× 42 1.5k
Daniel Wehner Germany 17 729 0.9× 244 1.2× 117 0.7× 53 0.3× 216 1.4× 36 1.4k
Hans H. Epperlein Germany 16 1.1k 1.3× 172 0.8× 102 0.6× 167 1.1× 90 0.6× 27 1.5k
Martin Kragl Germany 9 729 0.9× 85 0.4× 56 0.3× 139 0.9× 58 0.4× 18 1.1k
Phillip B. Gates United Kingdom 20 1.4k 1.7× 171 0.8× 80 0.5× 232 1.5× 59 0.4× 27 1.6k
Jo Ann Cameron United States 17 682 0.8× 113 0.5× 54 0.3× 148 1.0× 78 0.5× 24 1.2k
Ruxandra F. Sîrbulescu United States 19 349 0.4× 144 0.7× 215 1.3× 46 0.3× 251 1.6× 37 1.2k
Alberto Joven Sweden 14 578 0.7× 92 0.4× 71 0.4× 67 0.4× 78 0.5× 22 859

Countries citing papers authored by Karen Echeverri

Since Specialization
Citations

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

Fields of papers citing papers by Karen Echeverri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Echeverri

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Echeverri. A scholar is included among the top collaborators of Karen Echeverri 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 Karen Echeverri. Karen Echeverri 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.
Erickson, James R., et al.. (2024). Sall4 regulates downstream patterning genes during limb regeneration. Developmental Biology. 515. 151–159. 2 indexed citations
2.
Holmes, Grace E., et al.. (2024). LRRK2 kinase activity is necessary for development and regeneration in Nematostella vectensis. Neural Development. 19(1). 16–16. 2 indexed citations
3.
Walker, Sarah E., Tiago Santos‐Ferreira, & Karen Echeverri. (2023). A Reproducible Spinal Cord Crush Injury in the Regeneration-Permissive Axolotl. Methods in molecular biology. 2636. 237–246. 2 indexed citations
4.
Walker, Sarah E., et al.. (2022). Regulation of stem cell identity by miR-200a during spinal cord regeneration. Development. 149(3). 12 indexed citations
5.
Walker, Sarah E. & Karen Echeverri. (2022). Spinal cord regeneration — the origins of progenitor cells for functional rebuilding. Current Opinion in Genetics & Development. 75. 101917–101917. 8 indexed citations
6.
Echeverri, Karen. (2022). Zebrafishing for enhancers of hearing regeneration. Cell Genomics. 2(9). 100178–100178. 1 indexed citations
7.
Echeverri, Karen, Ji‐Feng Fei, & Elly M. Tanaka. (2022). The Axolotl's journey to the modern molecular era. Current topics in developmental biology. 147. 631–658. 9 indexed citations
8.
Echeverri, Karen, et al.. (2021). Salamanders: The molecular basis of tissue regeneration and its relevance to human disease. Current topics in developmental biology. 145. 235–275. 16 indexed citations
9.
Echeverri, Karen, et al.. (2020). Wound healing across the animal kingdom: Crosstalk between the immune system and the extracellular matrix. Developmental Dynamics. 249(7). 834–846. 51 indexed citations
10.
Echeverri, Karen. (2020). The various routes to functional regeneration in the central nervous system. Communications Biology. 3(1). 47–47. 3 indexed citations
11.
Jiang, Peng, et al.. (2019). AP-1cFos/JunB/miR-200a regulate the pro-regenerative glial cell response during axolotl spinal cord regeneration. Communications Biology. 2(1). 91–91. 41 indexed citations
12.
Erickson, Jami R., et al.. (2016). A novel role for SALL4 during scar-free wound healing in axolotl. npj Regenerative Medicine. 1(1). 24 indexed citations
13.
Santos‐Ferreira, Tiago, et al.. (2015). Dynamic membrane depolarization is an early regulator of ependymoglial cell response to spinal cord injury in axolotl. Developmental Biology. 408(1). 14–25. 32 indexed citations
14.
Echeverri, Karen, et al.. (2013). Spinal cord regeneration: where fish, frogs and salamanders lead the way, can we follow?. Biochemical Journal. 451(3). 353–364. 71 indexed citations
15.
Sehm, Tina, et al.. (2009). 19-P002 miR-196 is an essential early-stage regulator of tail regeneration, upstream of key spinal cord patterning events. Mechanisms of Development. 126. S291–S291. 1 indexed citations
16.
Sehm, Tina, et al.. (2009). miR-196 is an essential early-stage regulator of tail regeneration, upstream of key spinal cord patterning events. Developmental Biology. 334(2). 468–480. 75 indexed citations
17.
Echeverri, Karen & Andrew C. Oates. (2006). Coordination of symmetric cyclic gene expression during somitogenesis by Suppressor of Hairless involves regulation of retinoic acid catabolism. Developmental Biology. 301(2). 388–403. 41 indexed citations
18.
Echeverri, Karen & Elly M. Tanaka. (2005). Proximodistal patterning during limb regeneration. Developmental Biology. 279(2). 391–401. 100 indexed citations
19.
Echeverri, Karen & Elly M. Tanaka. (2003). Electroporation as a tool to study in vivo spinal cord regeneration. Developmental Dynamics. 226(2). 418–425. 48 indexed citations
20.
Echeverri, Karen, Jonathan D. W. Clarke, & Elly M. Tanaka. (2001). In Vivo Imaging Indicates Muscle Fiber Dedifferentiation Is a Major Contributor to the Regenerating Tail Blastema. Developmental Biology. 236(1). 151–164. 155 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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