Chien‐Ping Ko

3.0k total citations
38 papers, 1.4k citations indexed

About

Chien‐Ping Ko is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chien‐Ping Ko has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 18 papers in Genetics and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chien‐Ping Ko's work include Neurogenetic and Muscular Disorders Research (17 papers), Ion channel regulation and function (11 papers) and RNA modifications and cancer (10 papers). Chien‐Ping Ko is often cited by papers focused on Neurogenetic and Muscular Disorders Research (17 papers), Ion channel regulation and function (11 papers) and RNA modifications and cancer (10 papers). Chien‐Ping Ko collaborates with scholars based in United States, Switzerland and Canada. Chien‐Ping Ko's co-authors include Zhihua Feng, Karen Ling, Richard Robitaille, Samir Koirala, Ming-Yi Lin, Brian Zingg, Zhengshan Dai, H. Benjamin Peng, Jiefei Yang and Chunyi Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

Chien‐Ping Ko

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chien‐Ping Ko United States 23 950 598 579 231 174 38 1.4k
Federica Rizzo Italy 19 928 1.0× 391 0.7× 385 0.7× 256 1.1× 113 0.6× 31 1.3k
Martina Nardini Italy 15 693 0.7× 448 0.7× 237 0.4× 228 1.0× 133 0.8× 17 1.0k
Josep E. Esquerda Spain 26 806 0.8× 411 0.7× 648 1.1× 416 1.8× 80 0.5× 66 1.7k
Jordi Calderó Spain 23 566 0.6× 320 0.5× 521 0.9× 278 1.2× 65 0.4× 44 1.2k
Giulietta Riboldi Italy 19 846 0.9× 393 0.7× 353 0.6× 432 1.9× 98 0.6× 43 1.4k
Xueyong Wang United States 21 892 0.9× 446 0.7× 429 0.7× 252 1.1× 121 0.7× 34 1.4k
Lan Xu Switzerland 12 722 0.8× 605 1.0× 460 0.8× 817 3.5× 54 0.3× 17 1.7k
Laura H. Comley United Kingdom 11 650 0.7× 602 1.0× 219 0.4× 349 1.5× 125 0.7× 13 1.0k
Martina Maisel Germany 12 495 0.5× 339 0.6× 327 0.6× 152 0.7× 115 0.7× 16 980
Thomas W. Gould United States 19 535 0.6× 236 0.4× 477 0.8× 344 1.5× 57 0.3× 37 1.1k

Countries citing papers authored by Chien‐Ping Ko

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Ping Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Ping Ko. 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 Chien‐Ping Ko. The network helps show where Chien‐Ping Ko may publish in the future.

Co-authorship network of co-authors of Chien‐Ping Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Ping Ko. A scholar is included among the top collaborators of Chien‐Ping Ko 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 Chien‐Ping Ko. Chien‐Ping Ko 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.
Gould, Thomas W., Chien‐Ping Ko, Hugh J. Willison, & Richard Robitaille. (2024). Perisynaptic Schwann Cells: Guardians of Neuromuscular Junction Integrity and Function in Health and Disease. Cold Spring Harbor Perspectives in Biology. 17(1). a041362–a041362. 4 indexed citations
2.
Kim, Jeong-Ki, Narendra Nath Jha, Zhihua Feng, et al.. (2020). Muscle-specific SMN reduction reveals motor neuron–independent disease in spinal muscular atrophy models. Journal of Clinical Investigation. 130(3). 1271–1287. 66 indexed citations
3.
Osman, Erkan Y., Meaghan Van Alstyne, Francesco Lotti, et al.. (2020). Minor snRNA gene delivery improves the loss of proprioceptive synapses on SMA motor neurons. JCI Insight. 5(12). 15 indexed citations
4.
Rimer, Mendell, Young Il Lee, Wesley J. Thompson, et al.. (2019). Nerve sprouting capacity in a pharmacologically induced mouse model of spinal muscular atrophy. Scientific Reports. 9(1). 7799–7799. 4 indexed citations
5.
Osman, Erkan Y., et al.. (2016). Optimization of Morpholino Antisense Oligonucleotides Targeting the Intronic Repressor Element1 in Spinal Muscular Atrophy. Molecular Therapy. 24(9). 1592–1601. 26 indexed citations
6.
Shababi, Monir, Zhihua Feng, Eric Villalón, et al.. (2016). Rescue of a Mouse Model of Spinal Muscular Atrophy With Respiratory Distress Type 1 by AAV9-IGHMBP2 Is Dose Dependent. Molecular Therapy. 24(5). 855–866. 31 indexed citations
7.
Zhou, Chunyi, Zhihua Feng, & Chien‐Ping Ko. (2016). Defects in Motoneuron–Astrocyte Interactions in Spinal Muscular Atrophy. Journal of Neuroscience. 36(8). 2543–2553. 34 indexed citations
8.
Feng, Zhihua, Karen Ling, Xin Zhao, et al.. (2016). Pharmacologically induced mouse model of adult spinal muscular atrophy to evaluate effectiveness of therapeutics after disease onset. Human Molecular Genetics. 25(5). 964–975. 48 indexed citations
9.
Ko, Chien‐Ping & Richard Robitaille. (2015). Perisynaptic Schwann Cells at the Neuromuscular Synapse: Adaptable, Multitasking Glial Cells. Cold Spring Harbor Perspectives in Biology. 7(10). a020503–a020503. 86 indexed citations
10.
Rindt, Hansjörg, Jacqueline Glascock, Monir Shababi, et al.. (2013). Development and characterization of an SMN2-based intermediate mouse model of Spinal Muscular Atrophy. Human Molecular Genetics. 22(9). 1843–1855. 26 indexed citations
11.
Sahashi, Kentaro, Karen Ling, Yimin Hua, et al.. (2013). Pathological impact of SMN 2 mis‐splicing in adult SMA mice. EMBO Molecular Medicine. 5(10). 1586–1601. 34 indexed citations
12.
Sahashi, Kentaro, Yimin Hua, Karen Ling, et al.. (2012). TSUNAMI: an antisense method to phenocopy splicing-associated diseases in animals. Genes & Development. 26(16). 1874–1884. 30 indexed citations
13.
14.
Ling, Karen, Ming-Yi Lin, Brian Zingg, Zhihua Feng, & Chien‐Ping Ko. (2010). Synaptic Defects in the Spinal and Neuromuscular Circuitry in a Mouse Model of Spinal Muscular Atrophy. PLoS ONE. 5(11). e15457–e15457. 166 indexed citations
15.
Feng, Zhihua & Chien‐Ping Ko. (2008). The Role of Glial Cells in the Formation and Maintenance of the Neuromuscular Junction. Annals of the New York Academy of Sciences. 1132(1). 19–28. 57 indexed citations
16.
Feng, Zhihua & Chien‐Ping Ko. (2008). Schwann Cells Promote Synaptogenesis at the Neuromuscular Junction via Transforming Growth Factor-β1. Journal of Neuroscience. 28(39). 9599–9609. 114 indexed citations
17.
Koirala, Samir, et al.. (2003). Roles of glial cells in the formation, function, and maintenance of the neuromuscular junction. Journal of Neurocytology. 32(5-8). 987–1002. 43 indexed citations
18.
Sugiura, Yoshie & Chien‐Ping Ko. (2000). PTX-sensitive and -insensitive synaptic modulation at the frog neuromuscular junction. Neuroreport. 11(13). 3017–3021. 6 indexed citations
19.
Ko, Chien‐Ping, et al.. (1997). A Schwann cell matrix component of neuromuscular junctions and peripheral nerves. Journal of Neurocytology. 26(2). 63–75. 7 indexed citations
20.
Ko, Chien‐Ping. (1987). A lectin, peanut agglutinin, as a probe for the extracellular matrix in living neuromuscular junctions. Journal of Neurocytology. 16(4). 567–576. 59 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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