Rust Turakulov

447 total citations
12 papers, 169 citations indexed

About

Rust Turakulov is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Rust Turakulov has authored 12 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Rust Turakulov's work include Glioma Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Epigenetics and DNA Methylation (2 papers). Rust Turakulov is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Epigenetics and DNA Methylation (2 papers). Rust Turakulov collaborates with scholars based in Australia, United States and Russia. Rust Turakulov's co-authors include Simon Easteal, Zied Abdullaev, Kenneth Aldape, Natalia V. Voronova, Martha Quezado, Dimitry A. Chistiakov, Kirill V. Savostyanov, Craig Moritz, Janusz Ryś and Alejandro Contreras and has published in prestigious journals such as Nature Medicine, Clinical Cancer Research and Evolution.

In The Last Decade

Rust Turakulov

11 papers receiving 165 citations

Peers

Rust Turakulov
Julie Rosenbaum United States
Leah I. Elizondo United States
Nisha E. Pillai Singapore
Margot Brandt United States
Thomas Naert Belgium
Martijn Vermaat Netherlands
Rust Turakulov
Citations per year, relative to Rust Turakulov Rust Turakulov (= 1×) peers Alessandro Raveane

Countries citing papers authored by Rust Turakulov

Since Specialization
Citations

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

Fields of papers citing papers by Rust Turakulov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rust Turakulov

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

All Works

12 of 12 papers shown
1.
Papanicolau‐Sengos, Antonios, Kyung Park, Matija Snuderl, et al.. (2025). DNA Methylation-Based Classification of Kidney Neoplasms. Modern Pathology. 38(11). 100884–100884.
2.
Schreck, Karisa C., Roy E. Strowd, Burt Nabors, et al.. (2024). Response Rate and Molecular Correlates to Encorafenib and Binimetinib in BRAF-V600E Mutant High-Grade Glioma. Clinical Cancer Research. 30(10). 2048–2056. 7 indexed citations
3.
Shulman, Eldad D., Rust Turakulov, Zied Abdullaev, et al.. (2024). Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning. Nature Medicine. 30(7). 1952–1961. 20 indexed citations
4.
Miettinen, Markku, Zied Abdullaev, Rust Turakulov, et al.. (2023). Assessment of The Utility of The Sarcoma DNA Methylation Classifier In Surgical Pathology. The American Journal of Surgical Pathology. 48(1). 112–122. 15 indexed citations
5.
Vizcaíno, M. Adelita, Andrew L. Folpe, Ripul R. Panchal, et al.. (2023). Pseudoendocrine sarcoma: clinicopathologic, molecular, and epigenetic features of one case. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(6). 899–904. 2 indexed citations
6.
Wu, Zhichao, Osório Lopes Abath Neto, Tejus Bale, et al.. (2022). DNA methylation analysis of glioblastomas harboring FGFR3-TACC3 fusions identifies a methylation subclass with better patient survival. Acta Neuropathologica. 144(1). 155–157. 15 indexed citations
7.
Moritz, Craig, et al.. (2021). Temperature predicts the rate of molecular evolution in Australian Eugongylinae skinks. Evolution. 76(2). 252–261. 12 indexed citations
8.
Nelson, Matthew N., Jafar S. Jabbari, Rust Turakulov, et al.. (2020). The First Genetic Map for a Psoraleoid Legume (Bituminaria bituminosa) Reveals Highly Conserved Synteny with Phaseoloid Legumes. Plants. 9(8). 973–973. 3 indexed citations
9.
Taylor, Duncan, Nano Nagle, Kaye N. Ballantyne, et al.. (2012). An investigation of admixture in an Australian Aboriginal Y-chromosome STR database. Forensic Science International Genetics. 6(5). 532–538. 16 indexed citations
10.
Chistiakov, Dimitry A., Natalia V. Voronova, Rust Turakulov, & Kirill V. Savostyanov. (2010). The −112G > A polymorphism of the secretoglobin 3A2 (SCGB3A2) gene encoding uteroglobin-related protein 1 (UGRP1) increases risk for the development of Graves’ disease in subsets of patients with elevated levels of immunoglobulin E. Journal of Applied Genetics. 52(2). 201–207. 10 indexed citations
11.
Chistiakov, Dimitry A., et al.. (2005). Evaluation of IDDM8 susceptibility locus in a Russian simplex family data set. Journal of Autoimmunity. 24(3). 243–250. 5 indexed citations
12.
Turakulov, Rust & Simon Easteal. (2003). Number of SNPS Loci Needed to Detect Population Structure. Human Heredity. 55(1). 37–45. 64 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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