Ally Yang

6.4k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Ally Yang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ally Yang has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Ally Yang's work include RNA and protein synthesis mechanisms (8 papers), Genomics and Chromatin Dynamics (7 papers) and RNA Research and Splicing (4 papers). Ally Yang is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Genomics and Chromatin Dynamics (7 papers) and RNA Research and Splicing (4 papers). Ally Yang collaborates with scholars based in Canada, United States and China. Ally Yang's co-authors include Timothy R. Hughes, Matthew T. Weirauch, Mihai Albu, Hamed S. Najafabadi, Sanié Mnaimneh, Philip M. Kim, Michael Garton, Ernest Radovani, Kathy N. Lam and Frank W. Schmitges and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Ally Yang

23 papers receiving 1.2k citations

Hit Papers

Temporal transcriptional response to ethylene gas drives ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ally Yang Canada 15 842 529 151 70 55 23 1.2k
Carlos C. Flores United States 14 828 1.0× 470 0.9× 150 1.0× 55 0.8× 28 0.5× 24 1.1k
Derek W. Barnett United States 7 660 0.8× 242 0.5× 280 1.9× 57 0.8× 47 0.9× 7 1.0k
Mary Bryk United States 16 1.5k 1.8× 268 0.5× 148 1.0× 38 0.5× 95 1.7× 22 1.6k
J. Armando Casas-Mollano United States 16 911 1.1× 467 0.9× 69 0.5× 29 0.4× 21 0.4× 19 1.3k
Giorgio Prantera Italy 21 1.1k 1.3× 410 0.8× 420 2.8× 51 0.7× 27 0.5× 53 1.5k
Corrado Caggese Italy 19 886 1.1× 508 1.0× 148 1.0× 65 0.9× 21 0.4× 41 1.1k
Maria Pia Bozzetti Italy 17 904 1.1× 518 1.0× 293 1.9× 54 0.8× 55 1.0× 41 1.2k
Rainer Dorn Germany 16 1.7k 2.0× 759 1.4× 260 1.7× 61 0.9× 42 0.8× 16 1.9k
Charles Yu United States 9 664 0.8× 171 0.3× 141 0.9× 59 0.8× 14 0.3× 20 814
Jin Sun China 12 698 0.8× 257 0.5× 223 1.5× 82 1.2× 123 2.2× 14 1.0k

Countries citing papers authored by Ally Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ally Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ally Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ally Yang. A scholar is included among the top collaborators of Ally Yang 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 Ally Yang. Ally Yang 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
2.
Coyle, Maxwell C., Fredrick Leon, Semil P. Choksi, et al.. (2023). An RFX transcription factor regulates ciliogenesis in the closest living relatives of animals. Current Biology. 33(17). 3747–3758.e9. 8 indexed citations
3.
Yang, Ally, et al.. (2023). The human genome contains over a million autonomous exons. Genome Research. 33(11). 1865–1878. 5 indexed citations
4.
Liu, Ke, Jin Zhang, Yuqing Xiao, et al.. (2023). Structural insights into DNA recognition by the BEN domain of the transcription factor BANP. Journal of Biological Chemistry. 299(6). 104734–104734. 3 indexed citations
5.
Weilert, Melanie, Sabrina Krueger, Anusri Pampari, et al.. (2023). Chromatin accessibility in the Drosophila embryo is determined by transcription factor pioneering and enhancer activation. Developmental Cell. 58(19). 1898–1916.e9. 27 indexed citations
6.
Liu, Jingjing, Mohammad Kamran, Ally Yang, et al.. (2022). Distinct structural bases for sequence-specific DNA binding by mammalian BEN domain proteins. Genes & Development. 36(3-4). 225–240. 15 indexed citations
7.
Lei, Ming, Qin Su, Aiping Dong, et al.. (2021). Crystal structure of the BRPF2 PWWP domain in complex with DNA reveals a different binding mode than the HDGF family of PWWP domains. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1864(3). 194688–194688. 14 indexed citations
8.
Yang, Ally, et al.. (2021). Diverse Eukaryotic CGG-Binding Proteins Produced by Independent Domestications ofhATTransposons. Molecular Biology and Evolution. 38(5). 2070–2075. 7 indexed citations
9.
Chakraborti, Soumyananda, Alexander J. Trotter, William H. Gittens, et al.. (2020). A bacteriophage mimic of the bacterial nucleoid-associated protein Fis. Biochemical Journal. 477(7). 1345–1362. 2 indexed citations
10.
Lambert, Samuel A., Ally Yang, Alexander Sasse, et al.. (2019). Similarity regression predicts evolution of transcription factor sequence specificity. Nature Genetics. 51(6). 981–989. 81 indexed citations
11.
Liu, Ke, Chao Xu, Ming Lei, et al.. (2018). Structural basis for the ability of MBD domains to bind methyl-CG and TG sites in DNA. Journal of Biological Chemistry. 293(19). 7344–7354. 49 indexed citations
12.
Hong, Jungeui, et al.. (2018). An incoherent feedforward loop facilitates adaptive tuning of gene expression. eLife. 7. 17 indexed citations
13.
Ambrósio, Daniela Luz, Alejandro Montenegro‐Montero, Fernanda Zanolli Freitas, et al.. (2018). Neurospora crassa developmental control mediated by the FLB-3 transcription factor. Fungal Biology. 122(6). 570–582. 14 indexed citations
14.
Xu, Chao, Ke Liu, Ming Lei, et al.. (2017). DNA Sequence Recognition of Human CXXC Domains and Their Structural Determinants. Structure. 26(1). 85–95.e3. 62 indexed citations
15.
Townsend, Philip D., E.J. Slootweg, Octavina C. A. Sukarta, et al.. (2017). The intracellular immune receptor Rx1 regulates the DNA-binding activity of a Golden2-like transcription factor. Journal of Biological Chemistry. 293(9). 3218–3233. 45 indexed citations
16.
Does, H. Charlotte van der, Like Fokkens, Ally Yang, et al.. (2016). Transcription Factors Encoded on Core and Accessory Chromosomes of Fusarium oxysporum Induce Expression of Effector Genes. PLoS Genetics. 12(11). e1006401–e1006401. 52 indexed citations
17.
Najafabadi, Hamed S., Sanié Mnaimneh, Frank W. Schmitges, et al.. (2015). C2H2 zinc finger proteins greatly expand the human regulatory lexicon. Nature Biotechnology. 33(5). 555–562. 234 indexed citations
18.
Ding, Pengfei, Kirsty A. McFarland, Shujuan Jin, et al.. (2015). A Novel AT-Rich DNA Recognition Mechanism for Bacterial Xenogeneic Silencer MvaT. PLoS Pathogens. 11(6). e1004967–e1004967. 46 indexed citations
19.
Schoberle, Taylor J., et al.. (2014). A Novel C2H2 Transcription Factor that Regulates gliA Expression Interdependently with GliZ in Aspergillus fumigatus. PLoS Genetics. 10(5). e1004336–e1004336. 29 indexed citations
20.
Sebé-Pedrós, Arnau, Matthew T. Weirauch, Sven Leininger, et al.. (2013). Early evolution of the T-box transcription factor family. Proceedings of the National Academy of Sciences. 110(40). 16050–16055. 60 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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