Ehsan Nourbakhsh

13.2k total citations
10 papers, 666 citations indexed

About

Ehsan Nourbakhsh is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ehsan Nourbakhsh has authored 10 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Ehsan Nourbakhsh's work include Genetic Syndromes and Imprinting (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (2 papers). Ehsan Nourbakhsh is often cited by papers focused on Genetic Syndromes and Imprinting (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (2 papers). Ehsan Nourbakhsh collaborates with scholars based in Australia, Iran and United Kingdom. Ehsan Nourbakhsh's co-authors include Sean M. Grimmond, Timothy L. Bailey, Nicole Cloonan, Brooke Gardiner, Yoshihide Hayashizaki, Chikatoshi Kai, Piero Carninci, Ken C. Pang, Jun Kawai and Alistair R. R. Forrest and has published in prestigious journals such as Blood, PLoS ONE and Genome Research.

In The Last Decade

Ehsan Nourbakhsh

10 papers receiving 658 citations

Peers

Ehsan Nourbakhsh

MB

CR

GENET

IMMUN

ONCOL

Nicki Gray United Kingdom

Gonzalo R. Ordóñez Spain

Shengrong Lin China

Guiqing Huang United States

Hui Liang China

Timothée Revil Canada

Palaniraja Thandapani United States

Stefania Oliveto Italy

Nick J. Dibb United Kingdom

Clare Dempsey United Kingdom

Nicki Gray United Kingdom

Ehsan Nourbakhsh

533 ×1.0

MB

123 ×0.6

CR

54 ×0.7

GENET

74 ×1.3

IMMUN

46 ×0.8

ONCOL

Citations per year, relative to Ehsan Nourbakhsh Ehsan Nourbakhsh (= 1×) peers Nicki Gray

Countries citing papers authored by Ehsan Nourbakhsh

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Nourbakhsh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Nourbakhsh

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Zhao, Peng, et al.. (2023). Nano-Liposome Co-Loaded with C-X-C Chemokine Ligand 12/CXCR4 Pathway Inhibitor Synergistically Increases the Immune Efficacy of Anti-PD-L1 and Increase Anti-Tumor Activity of Effector T Cells. Journal of Biomedical Nanotechnology. 19(5). 823–833. 1 indexed citations

2.

Fath, Mohsen Karami, et al.. (2022). PI3K/Akt/mTOR signaling pathway in cancer stem cells. Pathology - Research and Practice. 237. 154010–154010. 98 indexed citations

3.

Nourbakhsh, Ehsan, Ali Mohammadi, Mohammad Salemizadeh Parizi, Atena Mansouri, & Farnoosh Ebrahimzadeh. (2021). Role of Myeloid-derived suppressor cell (MDSC) in autoimmunity and its potential as a therapeutic target. Inflammopharmacology. 29(5). 1307–1315. 19 indexed citations

4.

Martin, Hilary C., Shivangi Wani, Anita L Steptoe, et al.. (2014). Imperfect centered miRNA binding sites are common and can mediate repression of target mRNAs. Genome biology. 15(3). R51–R51. 104 indexed citations

5.

Kolle, Gabriel, Brooke Gardiner, Karin S. Kassahn, et al.. (2011). Deep-transcriptome and ribonome sequencing redefines the molecular networks of pluripotency and the extracellular space in human embryonic stem cells. Genome Research. 21(12). 2014–2025. 21 indexed citations

6.

Škalamera, Dubravka, Max V. Ranall, Paul Leo, et al.. (2011). A High-Throughput Platform for Lentiviral Overexpression Screening of the Human ORFeome. PLoS ONE. 6(5). e20057–e20057. 41 indexed citations

7.

Thiagarajan, Rathi D., Nicole Cloonan, Brooke Gardiner, et al.. (2011). Refining transcriptional programs in kidney development by integration of deep RNA-sequencing and array-based spatial profiling. BMC Genomics. 12(1). 441–441. 22 indexed citations

8.

Tallack, Michael R., Tom Whitington, Wai Shan Yuen, et al.. (2010). A global role for KLF1 in erythropoiesis revealed by ChIP-seq in primary erythroid cells. Genome Research. 20(8). 1052–1063. 175 indexed citations

9.

Tallack, Michael R., Thomas Whitington, Brooke Gardiner, et al.. (2009). Klf1 Regulatory Networks in Primary Erythroid Cells.. Blood. 114(22). 1462–1462. 2 indexed citations

10.

Frith, Martin C., Alistair R. R. Forrest, Ehsan Nourbakhsh, et al.. (2006). The Abundance of Short Proteins in the Mammalian Proteome. PLoS Genetics. 2(4). e52–e52. 183 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.

Explore authors with similar magnitude of impact