Jennifer L. Shadrach

7.1k total citations · 5 hit papers
20 papers, 5.3k citations indexed

About

Jennifer L. Shadrach is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jennifer L. Shadrach has authored 20 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Jennifer L. Shadrach's work include Muscle Physiology and Disorders (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Jennifer L. Shadrach is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Jennifer L. Shadrach collaborates with scholars based in United States, United Kingdom and Vietnam. Jennifer L. Shadrach's co-authors include Amy J. Wagers, Massimiliano Cerletti, Peter van Wijngaarden, Jingwei Zhao, Robin J.M. Franklin, Tracy J. Yuen, Véronique E. Miron, Charles ffrench‐Constant, Amanda Boyd and Anna Williams and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jennifer L. Shadrach

20 papers receiving 5.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

M2 microglia and macrophages drive oligodendrocyte differentiation during CNS remyelination

2013 1.3k citations Véronique E. Miron, Amanda Boyd et al. Nature Neuroscience profile →
A Special Population of Regulatory T Cells Potentiates Muscle Repair

2013 909 citations Dalia Burzyn, Wilson Kuswanto et al. Cell profile →
Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy

2013 699 citations Francesco S. Loffredo, Matthew L. Steinhauser et al. Cell profile →
Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle

2014 621 citations Manisha Sinha, Young C. Jang et al. Science profile →
Rejuvenation of Regeneration in the Aging Central Nervous System

2012 495 citations Jingwei Zhao, Jennifer L. Shadrach et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer L. Shadrach United States	14	2.3k	1.3k	1.2k	1.2k	778	20	5.3k
Bruno Bonetti Italy	36	1.8k 0.8×	887 0.7×	773 0.6×	597 0.5×	460 0.6×	104	5.1k
Wilfred F.A. den Dunnen Netherlands	52	2.9k 1.2×	652 0.5×	1.2k 1.0×	816 0.7×	326 0.4×	177	7.6k
Stephen J. Crocker United States	34	2.0k 0.9×	589 0.5×	1.0k 0.8×	648 0.5×	534 0.7×	72	4.1k
Marc J. Ruitenberg Australia	40	1.2k 0.5×	874 0.7×	1.2k 1.0×	437 0.4×	1.1k 1.4×	83	4.7k
Igor M. Samokhvalov China	12	1.5k 0.6×	3.3k 2.6×	2.9k 2.4×	684 0.6×	583 0.7×	21	6.1k
Reinhard Kiefer Germany	33	958 0.4×	865 0.7×	1.5k 1.2×	516 0.4×	528 0.7×	60	4.4k
Dimitrios Karussis Israel	36	1.4k 0.6×	817 0.6×	543 0.4×	460 0.4×	1.1k 1.4×	105	5.0k
Henrik Ahlenius Sweden	24	3.1k 1.3×	790 0.6×	1.1k 0.9×	514 0.4×	1.8k 2.3×	46	5.7k
Ubaldo Del Carro Italy	31	1.5k 0.6×	292 0.2×	604 0.5×	667 0.6×	937 1.2×	81	3.9k
Rickie Patani United Kingdom	35	2.8k 1.2×	341 0.3×	1.2k 1.0×	749 0.6×	736 0.9×	95	5.2k

Countries citing papers authored by Jennifer L. Shadrach

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer L. Shadrach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer L. Shadrach. 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 Jennifer L. Shadrach. The network helps show where Jennifer L. Shadrach may publish in the future.

Co-authorship network of co-authors of Jennifer L. Shadrach

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

All Works

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20 of 20 papers shown

1.

Shadrach, Jennifer L., et al.. (2024). DLK signaling in axotomized neurons triggers complement activation and loss of upstream synapses. Cell Reports. 43(2). 113801–113801. 7 indexed citations

2.

Andersen, Jimena, Jennifer L. Shadrach, Xiaoyu Chen, et al.. (2023). Single-cell transcriptomic landscape of the developing human spinal cord. Nature Neuroscience. 26(5). 902–914. 28 indexed citations

3.

Shadrach, Jennifer L., et al.. (2021). Translatomic analysis of regenerating and degenerating spinal motor neurons in injury and ALS. iScience. 24(7). 102700–102700. 9 indexed citations

4.

Blum, Jacob A., Sandy Klemm, Jennifer L. Shadrach, et al.. (2021). Single-cell transcriptomic analysis of the adult mouse spinal cord reveals molecular diversity of autonomic and skeletal motor neurons. Nature Neuroscience. 24(4). 572–583. 107 indexed citations

5.

Shadrach, Jennifer L., et al.. (2021). Proprioception revisited: where do we stand?. Current Opinion in Physiology. 21. 23–28. 5 indexed citations

6.

Shadrach, Jennifer L. & Brian A. Pierchala. (2018). Semaphorin3A Signaling Is Dispensable for Motor Axon Reinnervation of the Adult Neuromuscular Junction. eNeuro. 5(3). ENEURO.0155–17.2018. 8 indexed citations

7.

Kim, Mi‐Jeong, Christine Miller, Jennifer L. Shadrach, Amy J. Wagers, & Thomas Serwold. (2015). Young, Proliferative Thymic Epithelial Cells Engraft and Function in Aging Thymuses. The Journal of Immunology. 194(10). 4784–4795. 57 indexed citations

8.

Sinha, Manisha, Young C. Jang, Juhyun Oh, et al.. (2014). Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle. Science. 344(6184). 649–652. 621 indexed citations breakdown →

9.

Miron, Véronique E., Amanda Boyd, Jingwei Zhao, et al.. (2013). M2 microglia and macrophages drive oligodendrocyte differentiation during CNS remyelination. Nature Neuroscience. 16(9). 1211–1218. 1334 indexed citations breakdown →

10.

Ouaamari, Abdelfattah El, Dan Kawamori, Ercument Dirice, et al.. (2013). Liver-Derived Systemic Factors Drive β Cell Hyperplasia in Insulin-Resistant States. Cell Reports. 3(3). 968–968. 1 indexed citations

11.

Loffredo, Francesco S., Matthew L. Steinhauser, Steven M. Jay, et al.. (2013). Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy. Cell. 153(4). 828–839. 699 indexed citations breakdown →

12.

Ouaamari, Abdelfattah El, Dan Kawamori, Ercument Dirice, et al.. (2013). Liver-Derived Systemic Factors Drive β Cell Hyperplasia in Insulin-Resistant States. Cell Reports. 3(2). 401–410. 115 indexed citations

13.

Burzyn, Dalia, Wilson Kuswanto, Dmitriy Kolodin, et al.. (2013). A Special Population of Regulatory T Cells Potentiates Muscle Repair. Cell. 155(6). 1282–1295. 909 indexed citations breakdown →

14.

Zhao, Jingwei, Jennifer L. Shadrach, Peter van Wijngaarden, et al.. (2012). Rejuvenation of Regeneration in the Aging Central Nervous System. Cell stem cell. 10(1). 96–103. 495 indexed citations breakdown →

15.

Shadrach, Jennifer L. & Amy J. Wagers. (2011). Stem cells for skeletal muscle repair. Philosophical Transactions of the Royal Society B Biological Sciences. 366(1575). 2297–2306. 80 indexed citations

16.

Schulz, Tim J., Tian Lian Huang, Thien T. Tran, et al.. (2010). Identification of inducible brown adipocyte progenitors residing in skeletal muscle and white fat. Proceedings of the National Academy of Sciences. 108(1). 143–148. 393 indexed citations

17.

Kumar, Deepak, Jennifer L. Shadrach, Amy J. Wagers, & Andrew B. Lassar. (2009). Id3 Is a Direct Transcriptional Target of Pax7 in Quiescent Satellite Cells. Molecular Biology of the Cell. 20(14). 3170–3177. 85 indexed citations

18.

Cerletti, Massimiliano, Jennifer L. Shadrach, Stefan Jurga, Richard I. Sherwood, & Amy J. Wagers. (2008). Regulation and Function of Skeletal Muscle Stem Cells. Cold Spring Harbor Symposia on Quantitative Biology. 73(0). 317–322. 29 indexed citations

19.

Cerletti, Massimiliano, Stefan Jurga, Carol A. Witczak, et al.. (2008). Highly Efficient, Functional Engraftment of Skeletal Muscle Stem Cells in Dystrophic Muscles. Cell. 134(1). 37–47. 342 indexed citations

20.

Northrop, Lesley E., Jennifer L. Shadrach, & Mary S. Erskine. (2006). Noradrenergic Innervation of the Ventromedial Hypothalamus is Involved in Mating‐Induced Pseudopregnancy in the Female Rat. Journal of Neuroendocrinology. 18(8). 577–583. 8 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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