Steven Blinka

518 total citations
12 papers, 309 citations indexed

About

Steven Blinka is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Steven Blinka has authored 12 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cancer Research. Recurrent topics in Steven Blinka's work include Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (2 papers). Steven Blinka is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (2 papers). Steven Blinka collaborates with scholars based in United States, South Africa and Italy. Steven Blinka's co-authors include Sridhar Rao, Kirthi Pulakanti, Michael Reimer, David Baum, Jeremy M Berg, Mark D. Rausher, Guo‐Cheng Yuan, Cary Stelloh, Luca Pinello and Jonathan Peterson and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Steven Blinka

11 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Blinka United States 9 290 42 40 24 20 12 309
Joshua H. Rhoades United States 10 188 0.6× 14 0.3× 23 0.6× 32 1.3× 29 1.4× 14 320
Xiangyu Ding China 9 239 0.8× 151 3.6× 56 1.4× 4 0.2× 6 0.3× 13 296
Yongxia Chang China 8 265 0.9× 145 3.5× 29 0.7× 23 1.0× 28 1.4× 12 301
Laurence Drouard France 12 254 0.9× 54 1.3× 71 1.8× 17 0.7× 15 0.8× 18 335
Lechen Li China 7 169 0.6× 55 1.3× 148 3.7× 4 0.2× 29 1.4× 7 321
M. E. A. B. van Beek United States 10 119 0.4× 22 0.5× 34 0.8× 5 0.2× 81 4.0× 13 296
Matthias Haimel United Kingdom 6 138 0.5× 25 0.6× 46 1.1× 3 0.1× 44 2.2× 10 199
Alibek Abdrakhmanov Russia 7 99 0.3× 43 1.0× 12 0.3× 3 0.1× 5 0.3× 8 179

Countries citing papers authored by Steven Blinka

Since Specialization
Citations

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

Fields of papers citing papers by Steven Blinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Blinka

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Blinka. A scholar is included among the top collaborators of Steven Blinka 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 Steven Blinka. Steven Blinka 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.
Blinka, Steven & Evan Y. Yu. (2025). Drug Targets in Prostate Cancer: An Appetite for KLK2-Mediated Destruction. Clinical Cancer Research. 31(21). 4393–4395.
2.
Blinka, Steven, et al.. (2023). ELAC2 is a functional prostate cancer risk allele. Trends in Molecular Medicine. 29(8). 586–588. 2 indexed citations
3.
Blinka, Steven, et al.. (2023). Citron Kinase Is a Druggable Target in Treatment-Resistant Prostate Cancer. Cancer Research. 83(24). 4008–4009. 1 indexed citations
4.
Blinka, Steven, Kirthi Pulakanti, Michael Reimer, et al.. (2021). Genome editing demonstrates that the −5 kb Nanog enhancer regulates Nanog expression by modulating RNAPII initiation and/or recruitment. Journal of Biological Chemistry. 296. 100189–100189. 13 indexed citations
5.
Blinka, Steven & Sridhar Rao. (2017). Nanog Expression in Embryonic Stem Cells – An Ideal Model System to Dissect Enhancer Function. BioEssays. 39(12). 19 indexed citations
6.
Blinka, Steven, Michael Reimer, Kirthi Pulakanti, & Sridhar Rao. (2016). Super-Enhancers at the Nanog Locus Differentially Regulate Neighboring Pluripotency-Associated Genes. Cell Reports. 17(1). 19–28. 83 indexed citations
7.
Stelloh, Cary, Michael Reimer, Kirthi Pulakanti, et al.. (2016). The cohesin-associated protein Wapal is required for proper Polycomb-mediated gene silencing. Epigenetics & Chromatin. 9(1). 14–14. 11 indexed citations
8.
Blinka, Steven, Michael Reimer, Kirthi Pulakanti, et al.. (2016). Identification of Transcribed Enhancers by Genome-Wide Chromatin Immunoprecipitation Sequencing. Methods in molecular biology. 1468. 91–109. 15 indexed citations
9.
Kim, Minsu, Steven Blinka, Karl Stamm, et al.. (2015). Activin-A and Bmp4 Levels Modulate Cell Type Specification during CHIR-Induced Cardiomyogenesis. PLoS ONE. 10(2). e0118670–e0118670. 28 indexed citations
10.
Pulakanti, Kirthi, Luca Pinello, Cary Stelloh, et al.. (2013). Enhancer transcribed RNAs arise from hypomethylated, Tet-occupied genomic regions. Epigenetics. 8(12). 1303–1320. 53 indexed citations
11.
Fisher, Joseph B., Min Su Kim, Steven Blinka, et al.. (2012). Stress-Induced Cell-Cycle Activation in Tip60 Haploinsufficient Adult Cardiomyocytes. PLoS ONE. 7(2). e31569–e31569. 17 indexed citations
12.

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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