En‐Ching Luo

1.7k total citations · 1 hit paper
9 papers, 940 citations indexed

About

En‐Ching Luo is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, En‐Ching Luo has authored 9 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in En‐Ching Luo's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). En‐Ching Luo is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). En‐Ching Luo collaborates with scholars based in United States, Canada and Singapore. En‐Ching Luo's co-authors include G Yeo, Sebastian Markmiller, Raymond Mak, Fen‐Biao Gao, Mark W. Kankel, Anindya Sen, Mark Y. Fang, Florian Krach, David J. Gonzalez and Dejun Yang and has published in prestigious journals such as Cell, Nucleic Acids Research and Neuron.

In The Last Decade

En‐Ching Luo

9 papers receiving 932 citations

Hit Papers

Context-Dependent and Disease-Specific Diversity in Prote... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
En‐Ching Luo United States 8 807 159 139 103 80 9 940
Mario Hofweber Germany 7 887 1.1× 70 0.4× 201 1.4× 31 0.3× 128 1.6× 8 971
Linda Truebestein Austria 10 470 0.6× 141 0.9× 91 0.7× 32 0.3× 20 0.3× 12 655
Yi‐Tzang Tsai Taiwan 10 525 0.7× 104 0.7× 112 0.8× 32 0.3× 18 0.2× 13 692
Elena Chiricozzi Italy 20 597 0.7× 209 1.3× 192 1.4× 18 0.2× 29 0.4× 43 875
Indrajit Sahu Israel 10 457 0.6× 151 0.9× 82 0.6× 28 0.3× 30 0.4× 15 577
Daisy Sproviero Italy 18 634 0.8× 42 0.3× 350 2.5× 146 1.4× 176 2.2× 27 892
Laura Mediani Italy 13 809 1.0× 237 1.5× 135 1.0× 83 0.8× 133 1.7× 22 1.0k
Heidi Olzscha United Kingdom 9 847 1.0× 199 1.3× 77 0.6× 26 0.3× 17 0.2× 15 1.0k
Ho Yee Joyce Fung United States 10 728 0.9× 75 0.5× 198 1.4× 16 0.2× 130 1.6× 22 843

Countries citing papers authored by En‐Ching Luo

Since Specialization
Citations

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

Fields of papers citing papers by En‐Ching Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by En‐Ching Luo. 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 En‐Ching Luo. The network helps show where En‐Ching Luo may publish in the future.

Co-authorship network of co-authors of En‐Ching Luo

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

All Works

9 of 9 papers shown
1.
Schmok, Jonathan C., Danielle Schafer, Hsuan-Lin Her, et al.. (2024). Large-scale evaluation of the ability of RNA-binding proteins to activate exon inclusion. Nature Biotechnology. 42(9). 1429–1441. 13 indexed citations
2.
Aigner, Stefan, En‐Ching Luo, Hakan Özadam, et al.. (2023). Pyruvate Kinase M (PKM) binds ribosomes in a poly-ADP ribosylation dependent manner to induce translational stalling. Nucleic Acids Research. 51(12). 6461–6478. 11 indexed citations
3.
Nostrand, Jeanine L. Van, Kristina Hellberg, En‐Ching Luo, et al.. (2020). AMPK regulation of Raptor and TSC2 mediate metformin effects on transcriptional control of anabolism and inflammation. Genes & Development. 34(19-20). 1330–1344. 68 indexed citations
4.
Coyne, Alyssa N., Benjamin L. Zaepfel, Lindsey R. Hayes, et al.. (2020). G4C2 Repeat RNA Initiates a POM121-Mediated Reduction in Specific Nucleoporins in C9orf72 ALS/FTD. Neuron. 107(6). 1124–1140.e11. 91 indexed citations
5.
Luo, En‐Ching, Jason L. Nathanson, Frederick E. Tan, et al.. (2020). Large-scale tethered function assays identify factors that regulate mRNA stability and translation. Nature Structural & Molecular Biology. 27(10). 989–1000. 60 indexed citations
6.
Markmiller, Sebastian, Sahar Soltanieh, Raymond Mak, et al.. (2018). Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules. Cell. 172(3). 590–604.e13. 626 indexed citations breakdown →
7.
Markmiller, Sebastian, Sahar Soltanieh, Raymond Mak, et al.. (2018). Context‐dependent and Disease‐specific Diversity in Stress Granules Formed from Pre‐existing Protein Interactions. The FASEB Journal. 32(S1). 3 indexed citations
8.
Luo, En‐Ching, Yuh‐Pyng Sher, Li-Ling Chuang, et al.. (2014). MicroRNA-769-3p Down-regulates NDRG1 and Enhances Apoptosis in MCF-7 Cells During Reoxygenation. Scientific Reports. 4(1). 5908–5908. 30 indexed citations
9.
Lin, Yu‐Fen, Yi‐Fan Chen, En‐Ching Luo, et al.. (2013). MicroRNA-449a Enhances Radiosensitivity in CL1-0 Lung Adenocarcinoma Cells. PLoS ONE. 8(4). e62383–e62383. 38 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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