Jessica K. Lerch

1.3k total citations
19 papers, 970 citations indexed

About

Jessica K. Lerch is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Jessica K. Lerch has authored 19 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 6 papers in Developmental Neuroscience. Recurrent topics in Jessica K. Lerch's work include Neurogenesis and neuroplasticity mechanisms (6 papers), Nerve injury and regeneration (5 papers) and Stress Responses and Cortisol (3 papers). Jessica K. Lerch is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (6 papers), Nerve injury and regeneration (5 papers) and Stress Responses and Cortisol (3 papers). Jessica K. Lerch collaborates with scholars based in United States, France and Italy. Jessica K. Lerch's co-authors include Kathryn M. Madalena, John L. Bixby, Vance Lemmon, Phillip G. Popovich, Dario Motti, Jamie S. Church, Dana M. McTigue, Murray G. Blackmore, Zimei Wang and Jae K. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jessica K. Lerch

19 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica K. Lerch United States 14 426 389 209 144 125 19 970
Ezgi Öztürk Australia 16 340 0.8× 250 0.6× 118 0.6× 92 0.6× 96 0.8× 32 837
Xuegang Luo China 17 321 0.8× 305 0.8× 212 1.0× 54 0.4× 139 1.1× 46 936
Delphine Meffre France 16 258 0.6× 351 0.9× 181 0.9× 64 0.4× 118 0.9× 21 980
Thomas Skutella Germany 16 445 1.0× 354 0.9× 231 1.1× 50 0.3× 80 0.6× 32 1.0k
María Santos‐Galindo Spain 17 326 0.8× 436 1.1× 145 0.7× 72 0.5× 305 2.4× 21 1.2k
Lynnette M. Gerhold United States 11 273 0.6× 178 0.5× 109 0.5× 80 0.6× 98 0.8× 12 955
Christel Baudet France 15 387 0.9× 325 0.8× 160 0.8× 395 2.7× 47 0.4× 19 1.1k
Xiaoting Wang China 19 390 0.9× 527 1.4× 194 0.9× 42 0.3× 187 1.5× 47 1.2k
Tomohiro Ohgomori Japan 14 302 0.7× 270 0.7× 128 0.6× 111 0.8× 558 4.5× 28 1.1k
Dahna M. Fong New Zealand 10 622 1.5× 645 1.7× 379 1.8× 61 0.4× 248 2.0× 11 1.4k

Countries citing papers authored by Jessica K. Lerch

Since Specialization
Citations

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

Fields of papers citing papers by Jessica K. Lerch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica K. Lerch. 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 Jessica K. Lerch. The network helps show where Jessica K. Lerch may publish in the future.

Co-authorship network of co-authors of Jessica K. Lerch

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

All Works

19 of 19 papers shown
1.
Madalena, Kathryn M., et al.. (2020). Enhancing membrane repair increases regeneration in a sciatic injury model. PLoS ONE. 15(4). e0231194–e0231194. 8 indexed citations
2.
Song, Anping, Ling Zhu, Stephanie A. Amici, et al.. (2018). Salient type 1 interleukin 1 receptor expression in peripheral non-immune cells. Scientific Reports. 8(1). 723–723. 37 indexed citations
3.
Sawicki, Caroline M., Michael Weber, Daniel B. McKim, et al.. (2018). Microglia Promote Increased Pain Behavior through Enhanced Inflammation in the Spinal Cord during Repeated Social Defeat Stress. Journal of Neuroscience. 39(7). 1139–1149. 60 indexed citations
4.
Lerch, Jessica K., et al.. (2018). Unique Sensory and Motor Behavior in Thy1-GFP-M Mice before and after Spinal Cord Injury. Journal of Neurotrauma. 35(18). 2167–2182. 5 indexed citations
5.
Lerch, Jessica K., Jessica K. Alexander, Kathryn M. Madalena, et al.. (2017). Stress Increases Peripheral Axon Growth and Regeneration through Glucocorticoid Receptor-Dependent Transcriptional Programs. eNeuro. 4(4). ENEURO.0246–17.2017. 41 indexed citations
6.
Madalena, Kathryn M. & Jessica K. Lerch. (2017). The Effect of Glucocorticoid and Glucocorticoid Receptor Interactions on Brain, Spinal Cord, and Glial Cell Plasticity. Neural Plasticity. 2017. 1–8. 75 indexed citations
7.
Church, Jamie S., Lindsay M. Milich, Jessica K. Lerch, Phillip G. Popovich, & Dana M. McTigue. (2017). E6020, a synthetic TLR4 agonist, accelerates myelin debris clearance, Schwann cell infiltration, and remyelination in the rat spinal cord. Glia. 65(6). 883–899. 64 indexed citations
8.
Church, Jamie S., Kristina A. Kigerl, Jessica K. Lerch, Phillip G. Popovich, & Dana M. McTigue. (2016). TLR4 Deficiency Impairs Oligodendrocyte Formation in the Injured Spinal Cord. Journal of Neuroscience. 36(23). 6352–6364. 57 indexed citations
9.
Shettigar, Vikram, Bo Zhang, Sean C. Little, et al.. (2016). Rationally engineered Troponin C modulates in vivo cardiac function and performance in health and disease. Nature Communications. 7(1). 10794–10794. 39 indexed citations
10.
Quach, Tam, Jessica K. Lerch, Jérôme Honnorat, Rajesh Khanna, & Anne‐Marie Duchemin. (2016). Neuronal networks in mental diseases and neuropathic pain: Beyond brain derived neurotrophic factor and collapsin response mediator proteins. World Journal of Psychiatry. 6(1). 18–18. 10 indexed citations
11.
Wang, Zimei, et al.. (2015). The tumor suppressor HHEX inhibits axon growth when prematurely expressed in developing central nervous system neurons. Molecular and Cellular Neuroscience. 68. 272–283. 18 indexed citations
12.
Dulin, Jennifer N., Ana Antunes‐Martins, Vijayendran Chandran, et al.. (2015). Transcriptomic Approaches to Neural Repair. Journal of Neuroscience. 35(41). 13860–13867. 24 indexed citations
13.
14.
Englander, Zoë A., et al.. (2014). Identification of potential therapeutic targets in a model of neuropathic pain. Frontiers in Genetics. 5. 131–131. 12 indexed citations
15.
Lerch, Jessica K., et al.. (2014). cJun promotes CNS axon growth. Molecular and Cellular Neuroscience. 59. 97–105. 40 indexed citations
16.
Blackmore, Murray G., Zimei Wang, Jessica K. Lerch, et al.. (2012). Krüppel-like Factor 7 engineered for transcriptional activation promotes axon regeneration in the adult corticospinal tract. Proceedings of the National Academy of Sciences. 109(19). 7517–7522. 205 indexed citations
17.
Lerch, Jessica K., Frank C. Kuo, Dario Motti, et al.. (2012). Isoform Diversity and Regulation in Peripheral and Central Neurons Revealed through RNA-Seq. PLoS ONE. 7(1). e30417–e30417. 42 indexed citations
18.
Lerch, Jessica K., John L. Bixby, & Vance Lemmon. (2011). Isoform diversity and its importance for axon regeneration. Neuropathology. 32(4). 420–431. 4 indexed citations
19.
Scott, Michael M., Christi J. Wylie, Jessica K. Lerch, et al.. (2005). A genetic approach to access serotonin neurons forin vivoandin vitrostudies. Proceedings of the National Academy of Sciences. 102(45). 16472–16477. 182 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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