Sha Mi

8.4k total citations · 2 hit papers
61 papers, 6.3k citations indexed

About

Sha Mi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Sha Mi has authored 61 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 20 papers in Developmental Neuroscience. Recurrent topics in Sha Mi's work include Neurogenesis and neuroplasticity mechanisms (20 papers), Nerve injury and regeneration (19 papers) and Axon Guidance and Neuronal Signaling (10 papers). Sha Mi is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (20 papers), Nerve injury and regeneration (19 papers) and Axon Guidance and Neuronal Signaling (10 papers). Sha Mi collaborates with scholars based in United States, China and Hong Kong. Sha Mi's co-authors include Xinhua Lee, John McCoy, R. Blake Pepinsky, Zhaohui Shao, Robert H. Miller, James C. Keith, Richard J. Roberts, Melissa Levesque, Xiangping Li and Edward R. LaVallie and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sha Mi

59 papers receiving 6.2k citations

Hit Papers

Syncytin is a captive retroviral envelope protein involve... 2000 2026 2008 2017 2000 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Mi United States 35 3.1k 1.8k 1.7k 868 754 61 6.3k
Xinhua Lee United States 19 1.7k 0.5× 1.2k 0.7× 1.3k 0.7× 469 0.5× 535 0.7× 22 3.6k
Richard Milner United States 45 2.4k 0.8× 672 0.4× 778 0.5× 207 0.2× 1.1k 1.4× 183 6.6k
Michael C. Brown United States 46 3.7k 1.2× 717 0.4× 2.2k 1.3× 310 0.4× 91 0.1× 160 8.2k
Dieter Riethmacher Germany 38 4.5k 1.4× 1.1k 0.6× 1.4k 0.8× 307 0.4× 104 0.1× 60 8.6k
Ryo Kominami Japan 41 3.8k 1.2× 601 0.3× 622 0.4× 313 0.4× 372 0.5× 178 6.0k
Yasuyuki Ohkawa Japan 48 5.1k 1.6× 332 0.2× 684 0.4× 878 1.0× 320 0.4× 214 7.6k
Charles Babinet France 57 8.1k 2.6× 500 0.3× 1.6k 0.9× 449 0.5× 231 0.3× 139 13.0k
Monique Dubois‐Dalcq United States 51 3.0k 1.0× 3.2k 1.8× 2.1k 1.2× 527 0.6× 77 0.1× 115 7.9k
Joseph G. Gleeson United States 48 5.2k 1.7× 2.4k 1.4× 2.1k 1.2× 161 0.2× 181 0.2× 127 9.5k
Rashmi Kothary Canada 50 5.1k 1.6× 354 0.2× 1.1k 0.6× 270 0.3× 220 0.3× 195 7.3k

Countries citing papers authored by Sha Mi

Since Specialization
Citations

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

Fields of papers citing papers by Sha Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Mi. A scholar is included among the top collaborators of Sha Mi 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 Sha Mi. Sha Mi 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.
Mi, Sha, et al.. (2014). Airdrop Acceleration Recorder of High Overload Resistance. 34(6). 153–156.
2.
Pepinsky, R. Blake, Joseph W. Arndt, Chao Quan, et al.. (2014). Structure of the LINGO-1–Anti-LINGO-1 Li81 Antibody Complex Provides Insights into the Biology of LINGO-1 and the Mechanism of Action of the Antibody Therapy. Journal of Pharmacology and Experimental Therapeutics. 350(1). 110–123. 20 indexed citations
3.
Hu, Yi, Xing J. Lee, Zhaohui Shao, et al.. (2013). A DR6/p75NTR complex is responsible for β-amyloid-induced cortical neuron death. Cell Death and Disease. 4(4). e579–e579. 42 indexed citations
4.
Mi, Sha, R. Blake Pepinsky, & Diego Cadavid. (2013). Blocking LINGO-1 as a Therapy to Promote CNS Repair: From Concept to the Clinic. CNS Drugs. 27(7). 493–503. 119 indexed citations
5.
Mi, Sha. (2012). Therapeutic Effects of Ethanol Extracts from Euphorbia humifusa on Monilial Vaginitis in Rats. Zhongguo shiyan fangjixue zazhi. 1 indexed citations
6.
Hu, Yinghui, Xinhua Lee, Benxiu Ji, et al.. (2011). Sphingosine 1-phosphate receptor modulator fingolimod (FTY720) does not promote remyelination in vivo. Molecular and Cellular Neuroscience. 48(1). 72–81. 51 indexed citations
7.
Foscarin, Simona, Sara Gianola, Daniela Carulli, et al.. (2009). Overexpression of GAP‐43 modifies the distribution of the receptors for myelin‐associated growth‐inhibitory proteins in injured Purkinje axons. European Journal of Neuroscience. 30(10). 1837–1848. 14 indexed citations
8.
Ji, Benxiu, Lauren C. Case, Kai Liu, et al.. (2008). Assessment of functional recovery and axonal sprouting in oligodendrocyte-myelin glycoprotein (OMgp) null mice after spinal cord injury. Molecular and Cellular Neuroscience. 39(2). 258–267. 48 indexed citations
9.
Li, Yanzhang, et al.. (2008). The Chinese Version of the BIS/BAS Scale:Reliability and Validity. Zhongguo xinli weisheng zazhi. 22(8). 613–616. 35 indexed citations
10.
Miller, Robert H. & Sha Mi. (2007). Dissecting demyelination. Nature Neuroscience. 10(11). 1351–1354. 95 indexed citations
11.
Shao, Zhaohui, Jeffrey L. Browning, Xinhua Lee, et al.. (2005). TAJ/TROY, an Orphan TNF Receptor Family Member, Binds Nogo-66 Receptor 1 and Regulates Axonal Regeneration. Neuron. 45(3). 353–359. 311 indexed citations
12.
Mi, Sha, Xinhua Lee, Zhaohui Shao, et al.. (2004). LINGO-1 is a component of the Nogo-66 receptor/p75 signaling complex. Nature Neuroscience. 7(3). 221–228. 660 indexed citations breakdown →
13.
Moutsatsos, Ioannis K., Gadi Turgeman, Shuanhu Zhou, et al.. (2001). Exogenously Regulated Stem Cell-Mediated Gene Therapy for Bone Regeneration. Molecular Therapy. 3(4). 449–461. 219 indexed citations
14.
Luo, Yi, Robert Kim, Dana Gabuzda, et al.. (1998). The CXC-chemokine, Hi74: expression in the central nervous system. Journal of NeuroVirology. 4(6). 575–585. 8 indexed citations
15.
Yang, Allen S., Jiang‐Cheng Shen, Jean-Marc Zingg, Sha Mi, & Peter A. Jones. (1995). Hhal andHpall DNA methyltransferases bind DNA mismatches, methylate uracil and block DNA repair. Nucleic Acids Research. 23(8). 1380–1387. 117 indexed citations
16.
Mi, Sha, et al.. (1995). Functional analysis of Gln-237 mutants ofHhal methyltransferase. Nucleic Acids Research. 23(4). 620–627. 38 indexed citations
17.
Jung, Vincent, Wen Wei, Roymarie Ballester, et al.. (1994). Two types of RAS mutants that dominantly interfere with activators of RAS.. Molecular and Cellular Biology. 14(6). 3707–3718. 46 indexed citations
18.
Kumar, Sanjay, Xiaodong Cheng, Saulius Klimašauskas, et al.. (1994). The DNA (cytosine-5) methyltransferases. Nucleic Acids Research. 22(1). 1–10. 361 indexed citations
19.
Mi, Sha & Victor Stollar. (1991). Expression of sindbis virus nsP1 and methyltransferase activity inEscherichia coli. Virology. 184(1). 423–427. 91 indexed citations
20.

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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