Kimberle Shen

1.3k total citations
13 papers, 468 citations indexed

About

Kimberle Shen is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Kimberle Shen has authored 13 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Cell Biology. Recurrent topics in Kimberle Shen's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Immune cells in cancer (2 papers). Kimberle Shen is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Immune cells in cancer (2 papers). Kimberle Shen collaborates with scholars based in United States, France and Singapore. Kimberle Shen's co-authors include William S. Talbot, Harwin Sidik, Tracy J. Yuen, Yun‐An Shen, Philip D. Campbell, Thomas D. Glenn, Brad A. Friedman, Matthew R. Sapio, Florence L. Marlow and Harini Iyer and has published in prestigious journals such as Journal of Neuroscience, ACS Nano and Nature Cell Biology.

In The Last Decade

Kimberle Shen

12 papers receiving 462 citations

Peers

Kimberle Shen
Rejani B. Kunjamma United States
April Kemper United States
Emiel Polder Netherlands
Haoliang Huang United States
Stéphane Genoud United States
Rejani B. Kunjamma United States
Kimberle Shen
Citations per year, relative to Kimberle Shen Kimberle Shen (= 1×) peers Rejani B. Kunjamma

Countries citing papers authored by Kimberle Shen

Since Specialization
Citations

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

Fields of papers citing papers by Kimberle Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberle Shen

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

All Works

13 of 13 papers shown
1.
Sun, Yue, Kimberle Shen, Ke Guo, et al.. (2025). Polyethylene-Glycol-Conjugated Peptide Coacervates with Tunable Size for Intracellular mRNA Delivery. ACS Nano. 19(27). 24724–24735. 2 indexed citations
2.
Cheng, Ruey‐Kuang, Kimberle Shen, Sandra Tan, et al.. (2025). Comparative transcriptomics of lateral hypothalamic cell types reveals conserved growth hormone-tachykinin dynamics in feeding. Molecular Metabolism. 102. 102251–102251.
3.
Chia, Bing Shao, Samantha Seah, Bolun Wang, et al.. (2025). Engineering a New Generation of Gene Editors: Integrating Synthetic Biology and AI Innovations. ACS Synthetic Biology. 14(3). 636–647. 6 indexed citations
4.
Wang, Yuanyuan, Yun‐An Shen, Luke Xie, et al.. (2023). TREM2‐dependent microglial function is essential for remyelination and subsequent neuroprotection. Glia. 71(5). 1247–1258. 30 indexed citations
5.
Pandey, Shristi, Kimberle Shen, Seung-Hye Lee, et al.. (2022). Disease-associated oligodendrocyte responses across neurodegenerative diseases. Cell Reports. 40(8). 111189–111189. 95 indexed citations
6.
Iyer, Harini, Kimberle Shen, Ana M. Meireles, & William S. Talbot. (2022). A lysosomal regulatory circuit essential for the development and function of microglia. Science Advances. 8(35). eabp8321–eabp8321. 21 indexed citations
7.
Shen, Kimberle, Mike Reichelt, Hai Ngu, et al.. (2021). Multiple sclerosis risk gene Mertk is required for microglial activation and subsequent remyelination. Cell Reports. 34(10). 108835–108835. 80 indexed citations
8.
Brendza, Robert P., Han Lin, Kimberly L. Stark, et al.. (2021). Genetic ablation of Gpnmb does not alter synuclein-related pathology. Neurobiology of Disease. 159. 105494–105494. 9 indexed citations
9.
Shen, Kimberle & Tracy J. Yuen. (2020). Ex Vivo Myelination and Remyelination in Cerebellar Slice Cultures as a Quantitative Model for Developmental and Disease-Relevant Manipulations. Journal of Visualized Experiments. 9 indexed citations
10.
Gan, Lin, Akiko Seki, Kimberle Shen, et al.. (2019). The lysosomal GPCR-like protein GPR137B regulates Rag and mTORC1 localization and activity. Nature Cell Biology. 21(5). 614–626. 32 indexed citations
11.
Meireles, Ana M., Kimberle Shen, Lida Zoupi, et al.. (2018). The Lysosomal Transcription Factor TFEB Represses Myelination Downstream of the Rag-Ragulator Complex. Developmental Cell. 47(3). 319–330.e5. 34 indexed citations
12.
Shen, Kimberle, Harwin Sidik, & William S. Talbot. (2016). The Rag-Ragulator Complex Regulates Lysosome Function and Phagocytic Flux in Microglia. Cell Reports. 14(3). 547–559. 62 indexed citations
13.
Campbell, Philip D., Kimberle Shen, Matthew R. Sapio, et al.. (2014). Unique Function of Kinesin Kif5A in Localization of Mitochondria in Axons. Journal of Neuroscience. 34(44). 14717–14732. 88 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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