Ramila E. Gulieva

961 total citations · 1 hit paper
7 papers, 710 citations indexed

About

Ramila E. Gulieva is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ramila E. Gulieva has authored 7 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ramila E. Gulieva's work include Renal and related cancers (6 papers), Genetic and Kidney Cyst Diseases (4 papers) and Pluripotent Stem Cells Research (2 papers). Ramila E. Gulieva is often cited by papers focused on Renal and related cancers (6 papers), Genetic and Kidney Cyst Diseases (4 papers) and Pluripotent Stem Cells Research (2 papers). Ramila E. Gulieva collaborates with scholars based in United States, Canada and Spain. Ramila E. Gulieva's co-authors include Benjamin Freedman, Hongxia Fu, Nelly M. Cruz, Yong Kyun Kim, Jonathan Himmelfarb, Linh M. Tran, Stefan Czerniecki, Stuart J. Shankland, Jeffrey W. Pippin and Angela J. Churchill and has published in prestigious journals such as Nature Communications, Nature Materials and Scientific Reports.

In The Last Decade

Ramila E. Gulieva

7 papers receiving 705 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping

2018 329 citations Stefan Czerniecki, Nelly M. Cruz et al. Cell stem cell profile →

Peers

Ramila E. Gulieva

MB

PRM

BE

GENET

PHEOH

Ryan Vander Werff Canada

Ken Hiratsuka United States

Yusuke Kaku Japan

Tomoko Ohmori Japan

Zhongwei Li United States

Ali Motazedian Australia

Paula Deschamps Canada

Shinsuke Tada Japan

Yongli Chu China

Fiona Rae Australia

Ryan Vander Werff Canada

Ramila E. Gulieva

606 ×1.1

MB

189 ×0.9

PRM

174 ×0.9

BE

112 ×0.9

GENET

94 ×0.9

PHEOH

Citations per year, relative to Ramila E. Gulieva Ramila E. Gulieva (= 1×) peers Ryan Vander Werff

Countries citing papers authored by Ramila E. Gulieva

Since Specialization

Citations

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

Fields of papers citing papers by Ramila E. Gulieva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramila E. Gulieva. 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 Ramila E. Gulieva. The network helps show where Ramila E. Gulieva may publish in the future.

Co-authorship network of co-authors of Ramila E. Gulieva

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

All Works

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7 of 7 papers shown

1.

Gulieva, Ramila E., et al.. (2025). A novel rapalog shows improved safety vs. efficacy in a human organoid model of polycystic kidney disease. Stem Cell Reports. 20(2). 102395–102395. 2 indexed citations

2.

Gulieva, Ramila E., Louisa Helms, Nelly M. Cruz, et al.. (2022). Glucose absorption drives cystogenesis in a human organoid-on-chip model of polycystic kidney disease. Nature Communications. 13(1). 7918–7918. 46 indexed citations

3.

Gulieva, Ramila E. & Adam Z. Higgins. (2021). Human induced pluripotent stem cell derived kidney organoids as a model system for studying cryopreservation. Cryobiology. 103. 153–156. 2 indexed citations

4.

Mogas, T., et al.. (2021). Effect of cryoprotectant concentration on bovine oocyte permeability and comparison of two membrane permeability modelling approaches. Scientific Reports. 11(1). 15387–15387. 14 indexed citations

5.

Czerniecki, Stefan, Nelly M. Cruz, Jennifer L. Harder, et al.. (2018). High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping. Cell stem cell. 22(6). 929–940.e4. 329 indexed citations breakdown →

6.

Cruz, Nelly M., Xuewen Song, Stefan Czerniecki, et al.. (2017). Organoid cystogenesis reveals a critical role of microenvironment in human polycystic kidney disease. Nature Materials. 16(11). 1112–1119. 218 indexed citations

7.

Kim, Yong Kyun, Craig R. Brooks, Peifeng Jing, et al.. (2017). Gene-Edited Human Kidney Organoids Reveal Mechanisms of Disease in Podocyte Development. Stem Cells. 35(12). 2366–2378. 99 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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