Chien‐Ping Ko

3.0k citations
36 papers · 1.4k · h-index 21

Impact in

Papers in

Chien‐Ping Ko

36 papers receiving 1.3k citations

Peers

Chien‐Ping Ko
Comparison fields: 5 of 68
  • Genetics 585
  • Developmental Neuroscience 156
  • Cellular and Molecular Neuroscience 506
  • Neurology 208
  • Molecular Biology 846
Replace Jordi Calderó with:
Jordi Calderó Spain
Federica Rizzo Italy
Giulietta Maria Riboldi Italy
Martina Nardini Italy
Tali Ben‐Zur Israel
Yves Sagot Switzerland
Thomas W. Gould United States
Xueyong Wang United States
Yoshihiro Nihei Japan
Caroline Rouaux France
Chien‐Ping Ko relative to Jordi Calderó Spain Jordi Calderó's profile →
Citations per field
00.5×1.5×1.8×
Jordi Calderó · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Chien‐Ping Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chien‐Ping Ko Line = papers co-authored together Chien‐Ping Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010179
2 2008120
3 2003107
4 2011107
5 202073
6 200858
7 198758
8 197656
9 201652
10 200346
11 198145
12 201243
13 201339
14 200038
15 201637
16 199835
17 201633
18 201330
19 201330
20 200528

About Chien‐Ping Ko

Chien‐Ping Ko is a scholar working on Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology and Cell Biology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (16 papers), Ion channel regulation and function (9 papers), RNA modifications and cancer (9 papers), Nerve injury and regeneration (8 papers), RNA Research and Splicing (8 papers), Cellular transport and secretion (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Genetics (585 citations), Developmental Neuroscience (156 citations), Cellular and Molecular Neuroscience (506 citations), Neurology (208 citations) and Molecular Biology (846 citations). Chien‐Ping Ko has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Zhihua Feng, Karen Ling, Samir Koirala, Ming-Yi Lin, Brian Zingg, Harold W. Burton, Richard P. Bunge, Chunyi Zhou, Chi Wai Lee and H. Benjamin Peng. Their work appears in journals such as Journal of Neurocytology, The Journal of Physiology, Human Molecular Genetics, Journal of Neuroscience and Molecular Therapy.

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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