Hüseyin Sümer

1.9k total citations
59 papers, 1.4k citations indexed

About

Hüseyin Sümer is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Hüseyin Sümer has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Biomedical Engineering. Recurrent topics in Hüseyin Sümer's work include Pluripotent Stem Cells Research (35 papers), CRISPR and Genetic Engineering (29 papers) and Animal Genetics and Reproduction (9 papers). Hüseyin Sümer is often cited by papers focused on Pluripotent Stem Cells Research (35 papers), CRISPR and Genetic Engineering (29 papers) and Animal Genetics and Reproduction (9 papers). Hüseyin Sümer collaborates with scholars based in Australia, India and Iran. Hüseyin Sümer's co-authors include Paul J. Verma, Jun Liu, Kiran Shah, K.H. Andy Choo, David J. Amor, Peter Kingshott, Paul Kalitsis, Brett A. Cromer, Karen L. Jones and Khodadad Khodadadi and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Hüseyin Sümer

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hüseyin Sümer Australia 20 1.0k 263 228 206 188 59 1.4k
Yuhua Sun China 20 1.6k 1.6× 235 0.9× 298 1.3× 259 1.3× 382 2.0× 64 2.3k
Shannon Eaker United States 13 479 0.5× 150 0.6× 92 0.4× 112 0.5× 114 0.6× 22 807
Guido Veit Canada 25 923 0.9× 411 1.6× 158 0.7× 172 0.8× 68 0.4× 35 2.6k
Alexander I. Shevchenko Russia 17 788 0.8× 367 1.4× 173 0.8× 161 0.8× 98 0.5× 61 1.1k
Stina Simonsson Sweden 19 1.1k 1.1× 217 0.8× 58 0.3× 181 0.9× 363 1.9× 37 1.7k
Katherine A. Glass United States 9 1.2k 1.2× 262 1.0× 111 0.5× 121 0.6× 86 0.5× 12 1.5k
Kazuko Miyazaki Japan 19 863 0.9× 121 0.5× 76 0.3× 299 1.5× 136 0.7× 33 2.0k
Ron Hochstenbach Netherlands 25 1.2k 1.2× 1.1k 4.2× 318 1.4× 376 1.8× 273 1.5× 49 2.1k
Yuehui Ma China 21 639 0.6× 363 1.4× 44 0.2× 204 1.0× 77 0.4× 106 1.3k
Yanding Zhang China 28 1.6k 1.6× 526 2.0× 56 0.2× 173 0.8× 102 0.5× 81 2.1k

Countries citing papers authored by Hüseyin Sümer

Since Specialization
Citations

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

Fields of papers citing papers by Hüseyin Sümer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hüseyin Sümer

This figure shows the co-authorship network connecting the top 25 collaborators of Hüseyin Sümer. A scholar is included among the top collaborators of Hüseyin Sümer 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 Hüseyin Sümer. Hüseyin Sümer 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
1.
Meli, Massimiliano, Kristy Swiderski, Ben Rollo, et al.. (2025). Ngn2-Induced Differentiation of the NG108-15 Cell Line Enhances Motor Neuronal Differentiation and Neuromuscular Junction Formation. Biomolecules. 15(5). 637–637.
3.
Rollo, Ben, Géza Berecki, Steven Petrou, et al.. (2023). Generation of a stably transfected mouse embryonic stem cell line for inducible differentiation to excitatory neurons. Experimental Cell Research. 435(1). 113902–113902. 3 indexed citations
4.
Rollo, Ben, et al.. (2022). Targeting the AAVS1 Site by CRISPR/Cas9 with an Inducible Transgene Cassette for the Neuronal Differentiation of Human Pluripotent Stem Cells. Methods in molecular biology. 2495. 99–114. 4 indexed citations
5.
Liu, Jun, et al.. (2022). Tools for Efficient Genome Editing; ZFN, TALEN, and CRISPR. Methods in molecular biology. 2495. 29–46. 53 indexed citations
6.
Shah, Kiran, et al.. (2022). Comparative analysis of extracellular vesicles isolated from human mesenchymal stem cells by different isolation methods and visualisation of their uptake. Experimental Cell Research. 414(2). 113097–113097. 16 indexed citations
7.
Sümer, Hüseyin, et al.. (2022). Efficient Generation of Stable Cell Lines with Inducible Neuronal Transgene Expression Using the piggyBac Transposon System. Methods in molecular biology. 2495. 49–66. 2 indexed citations
8.
Sümer, Hüseyin, et al.. (2016). Inhibition of JAK‐STAT ERK/MAPK and Glycogen Synthase Kinase‐3 Induces a Change in Gene Expression Profile of Bovine Induced Pluripotent Stem Cells. Stem Cells International. 2016(1). 5127984–5127984. 7 indexed citations
9.
Sümer, Hüseyin, et al.. (2014). Functional Evaluation of ES–Somatic Cell Hybrids In Vitro and In Vivo. Cellular Reprogramming. 16(3). 167–174. 1 indexed citations
10.
Heffernan, Corey, et al.. (2013). Induction of Pluripotency. Advances in experimental medicine and biology. 786. 5–25. 1 indexed citations
11.
Sümer, Hüseyin, et al.. (2012). The state of the art for pluripotent stem cells derivation in domestic ungulates. Theriogenology. 78(8). 1749–1762. 32 indexed citations
12.
Heffernan, Corey, Hüseyin Sümer, Gilles J. Guillemin, Ursula Manuelpillai, & Paul J. Verma. (2012). Design and Screening of a Glial Cell-Specific, Cell Penetrating Peptide for Therapeutic Applications in Multiple Sclerosis. PLoS ONE. 7(9). e45501–e45501. 15 indexed citations
13.
Sümer, Hüseyin, et al.. (2011). The Efficiency of Cell Fusion-Based Reprogramming Is Affected by the Somatic Cell Type and the In Vitro Age of Somatic Cells. Cellular Reprogramming. 13(4). 331–344. 12 indexed citations
14.
Sümer, Hüseyin, et al.. (2010). Comparison of reprogramming ability of mouse ES and iPS cells measured by somatic cell fusion. The International Journal of Developmental Biology. 54(11-12). 1723–1728. 6 indexed citations
15.
Sümer, Hüseyin, Karen L. Jones, Junping Liu, et al.. (2009). Transcriptional Changes in Somatic Cells Recovered From Embryonic Stem–Somatic Heterokaryons. Stem Cells and Development. 18(9). 1361–1368. 15 indexed citations
16.
Sümer, Hüseyin, Craig Nicholls, Alexander R. Pinto, et al.. (2009). Chromosomal and telomeric reprogramming following ES-somatic cell fusion. Chromosoma. 119(2). 167–176. 13 indexed citations
17.
Liu, Jun, Karen L. Jones, Hüseyin Sümer, & Paul J. Verma. (2008). Stable transgene expression in human embryonic stem cells after simple chemical transfection. Molecular Reproduction and Development. 76(6). 580–586. 32 indexed citations
18.
Mrozik, Krzysztof M., et al.. (2005). A Novel Method for Somatic Cell Nuclear Transfer to Mouse Embryonic Stem Cells. Cloning and Stem Cells. 7(4). 265–271. 30 indexed citations
19.
Sümer, Hüseyin, Richard Saffery, Nicholas C. Wong, Jeffrey M. Craig, & K.H. Andy Choo. (2004). Effects of Scaffold/Matrix Alteration on Centromeric Function and Gene Expression. Journal of Biological Chemistry. 279(36). 37631–37639. 9 indexed citations
20.
Amor, David J., Paul Kalitsis, Hüseyin Sümer, & K.H. Andy Choo. (2004). Building the centromere: from foundation proteins to 3D organization. Trends in Cell Biology. 14(7). 359–368. 145 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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