Emi Ling

1.5k total citations
9 papers, 765 citations indexed

About

Emi Ling is a scholar working on Molecular Biology, Geriatrics and Gerontology and Neurology. According to data from OpenAlex, Emi Ling has authored 9 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Geriatrics and Gerontology and 1 paper in Neurology. Recurrent topics in Emi Ling's work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA modifications and cancer (2 papers). Emi Ling is often cited by papers focused on RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA modifications and cancer (2 papers). Emi Ling collaborates with scholars based in United States, Italy and Denmark. Emi Ling's co-authors include Michael E. Greenberg, David A. Harmin, Thomas Vierbuchen, Christopher Cowley, Xiaofeng Wang, Charles W.M. Roberts, Hume Stroud, Athar N. Malik, Eric R. Kandel and Lenzie Ford and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Emi Ling

9 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emi Ling United States	8	542	128	109	85	75	9	765
Kevin J. O’Donovan United States	11	592 1.1×	294 2.3×	126 1.2×	72 0.8×	67 0.9×	19	958
Ashley D. Denny United States	6	464 0.9×	88 0.7×	82 0.8×	47 0.6×	112 1.5×	6	653
Hiroaki Kanki Japan	13	592 1.1×	231 1.8×	145 1.3×	91 1.1×	58 0.8×	15	890
Walter Lucchesi United Kingdom	15	473 0.9×	204 1.6×	119 1.1×	81 1.0×	67 0.9×	17	806
An Liu China	14	353 0.7×	184 1.4×	114 1.0×	37 0.4×	65 0.9×	33	648
Eiji Hirose Japan	16	671 1.2×	266 2.1×	45 0.4×	87 1.0×	78 1.0×	26	993
С. В. Саложин Russia	10	507 0.9×	124 1.0×	159 1.5×	26 0.3×	43 0.6×	20	668
Sujata Bupp United States	8	683 1.3×	321 2.5×	101 0.9×	68 0.8×	77 1.0×	9	1.0k
António Miguel de Jesus Domingues Germany	16	712 1.3×	144 1.1×	83 0.8×	21 0.2×	76 1.0×	22	913
Jim Eberwine United States	8	737 1.4×	276 2.2×	110 1.0×	53 0.6×	66 0.9×	9	1.0k

Countries citing papers authored by Emi Ling

Since Specialization

Citations

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

Fields of papers citing papers by Emi Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emi Ling

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Pollina, Elizabeth A., Cindy Lin, Christopher P. Davis, et al.. (2023). A NPAS4–NuA4 complex couples synaptic activity to DNA repair. Nature. 614(7949). 732–741. 61 indexed citations

2.

Yang, Marty G., Emi Ling, Christopher Cowley, Michael E. Greenberg, & Thomas Vierbuchen. (2022). Characterization of sequence determinants of enhancer function using natural genetic variation. eLife. 11. 9 indexed citations

3.

Weiner, Daniel J., Emi Ling, Serkan Erdin, et al.. (2022). STATISTICAL AND FUNCTIONAL CONVERGENCE OF COMMON AND RARE VARIANT RISK FOR AUTISM SPECTRUM DISORDERS AT CHROMOSOME 16P. European Neuropsychopharmacology. 63. e20–e20. 2 indexed citations

4.

Stroud, Hume, Marty G. Yang, Christopher P. Davis, et al.. (2020). An Activity-Mediated Transition in Transcription in Early Postnatal Neurons. Neuron. 107(5). 874–890.e8. 43 indexed citations

5.

Ford, Lenzie, Emi Ling, Eric R. Kandel, & Luana Fioriti. (2019). CPEB3 inhibits translation of mRNA targets by localizing them to P bodies. Proceedings of the National Academy of Sciences. 116(36). 18078–18087. 66 indexed citations

6.

Cheadle, Lucas, Christopher P. Tzeng, Brian T. Kalish, et al.. (2018). Visual Experience-Dependent Expression of Fn14 Is Required for Retinogeniculate Refinement. Neuron. 99(3). 525–539.e10. 41 indexed citations

7.

Vierbuchen, Thomas, Emi Ling, Christopher Cowley, et al.. (2017). AP-1 Transcription Factors and the BAF Complex Mediate Signal-Dependent Enhancer Selection. Molecular Cell. 68(6). 1067–1082.e12. 274 indexed citations

8.

Malik, Athar N., Thomas Vierbuchen, Martin Hemberg, et al.. (2014). Genome-wide identification and characterization of functional neuronal activity–dependent enhancers. Nature Neuroscience. 17(10). 1330–1339. 191 indexed citations

9.

Wang, Jun, et al.. (2009). The role of Sirt1: At the crossroad between promotion of longevity and protection against Alzheimer's disease neuropathology. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(8). 1690–1694. 78 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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