Liya Roudaia

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Liya Roudaia is a scholar working on Molecular Biology, Hematology and Infectious Diseases. According to data from OpenAlex, Liya Roudaia has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Hematology and 1 paper in Infectious Diseases. Recurrent topics in Liya Roudaia's work include Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (4 papers) and Ubiquitin and proteasome pathways (3 papers). Liya Roudaia is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (4 papers) and Ubiquitin and proteasome pathways (3 papers). Liya Roudaia collaborates with scholars based in United States, Canada and United Kingdom. Liya Roudaia's co-authors include Sonia V. del Rincón, Wilson H. Miller, Neha Papneja, Khashayar Esfahani, John R. Silvius, Stephane Leung Wai Sang, John H. Bushweller, Nancy A. Speck, Takeshi Corpora and Matthew D. Cheney and has published in prestigious journals such as The EMBO Journal, Blood and Journal of Molecular Biology.

In The Last Decade

Liya Roudaia

8 papers receiving 1.2k citations

Hit Papers

A Review of Cancer Immunotherapy: From the Past, to the P... 2020 2026 2022 2024 2020 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
Liya Roudaia United States 8 662 368 305 154 132 9 1.2k
Shang‐Fan Yu United States 22 929 1.4× 833 2.3× 280 0.9× 98 0.6× 205 1.6× 45 1.7k
Emil Bulatov Russia 22 726 1.1× 610 1.7× 250 0.8× 82 0.5× 133 1.0× 55 1.2k
Blake T. Aftab United States 18 839 1.3× 676 1.8× 369 1.2× 88 0.6× 64 0.5× 38 1.6k
Daniel Rajotte United States 16 996 1.5× 309 0.8× 307 1.0× 68 0.4× 67 0.5× 19 1.5k
Kartoosh Heydari United States 18 643 1.0× 139 0.4× 371 1.2× 180 1.2× 97 0.7× 25 1.2k
Shangzi Wang United States 10 522 0.8× 502 1.4× 480 1.6× 50 0.3× 145 1.1× 16 1.2k
Andrey S. Dobroff United States 21 761 1.1× 236 0.6× 270 0.9× 55 0.4× 98 0.7× 35 1.2k
Mehmet Kemal Tur Germany 19 627 0.9× 267 0.7× 367 1.2× 35 0.2× 73 0.6× 43 1.1k
Dieter Moosmayer Germany 19 977 1.5× 395 1.1× 281 0.9× 62 0.4× 49 0.4× 38 1.3k
Dan Shochat United States 17 464 0.7× 399 1.1× 146 0.5× 101 0.7× 54 0.4× 28 1.1k

Countries citing papers authored by Liya Roudaia

Since Specialization
Citations

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

Fields of papers citing papers by Liya Roudaia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liya Roudaia

This figure shows the co-authorship network connecting the top 25 collaborators of Liya Roudaia. A scholar is included among the top collaborators of Liya Roudaia 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 Liya Roudaia. Liya Roudaia 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.
Esfahani, Khashayar, et al.. (2020). A Review of Cancer Immunotherapy: From the Past, to the Present, to the Future. Current Oncology. 27(12). 87–97. 693 indexed citations breakdown →
2.
Corpora, Takeshi, Liya Roudaia, Wei Chen, et al.. (2010). Structure of the AML1-ETO NHR3–PKA(RIIα) Complex and Its Contribution to AML1-ETO Activity. Journal of Molecular Biology. 402(3). 560–577. 15 indexed citations
3.
Roudaia, Liya, Matthew D. Cheney, Wei Chen, et al.. (2009). CBFβ is critical for AML1-ETO and TEL-AML1 activity. Blood. 113(13). 3070–3079. 40 indexed citations
4.
Lyons, Patrick D., Grantley R. Peck, Arminja N. Kettenbach, et al.. (2008). Insulin stimulates the phosphorylation of the exocyst protein Sec8 in adipocytes. Bioscience Reports. 29(4). 229–235. 16 indexed citations
5.
Liu, Yizhou, Wei Chen, Justin Gaudet, et al.. (2007). Structural Basis for Recognition of SMRT/N-CoR by the MYND Domain and Its Contribution to AML1/ETO's Activity. Cancer Cell. 11(6). 483–497. 90 indexed citations
6.
Grembecka, Jolanta, Yunpeng Zhou, Yali Kong, et al.. (2007). Allosteric Inhibition of the Protein-Protein Interaction between the Leukemia-Associated Proteins Runx1 and CBFβ. Chemistry & Biology. 14(10). 1186–1197. 86 indexed citations
7.
Matheny, Christina, Patrick R. Cushing, Yunpeng Zhou, et al.. (2007). Disease mutations in RUNX1 and RUNX2 create nonfunctional, dominant‐negative, or hypomorphic alleles. The EMBO Journal. 26(4). 1163–1175. 85 indexed citations
8.
Grembecka, Jolanta, Yali Kong, Michael G. Douvas, et al.. (2007). Development of Small Molecule Inhibitors of the AML1-ETO and CBFβ-SMMHC Oncoproteins.. Blood. 110(11). 1591–1591.
9.
Sang, Stephane Leung Wai, et al.. (2003). Penetratin and Related Cell-Penetrating Cationic Peptides Can Translocate Across Lipid Bilayers in the Presence of a Transbilayer Potential. Biochemistry. 42(47). 13787–13799. 172 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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