Akshay Bhinge

9.7k total citations
25 papers, 1.2k citations indexed

About

Akshay Bhinge is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Akshay Bhinge has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Akshay Bhinge's work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Akshay Bhinge is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Akshay Bhinge collaborates with scholars based in United States, Singapore and United Kingdom. Akshay Bhinge's co-authors include Vishwanath R. Iyer, Bum-Kyu Lee, Martin Hirst, Steven J.M. Jones, Sushma Shivaswamy, Lawrence W. Stanton, Yongjun Zhao, Seema C. Namboori, Jonghwan Kim and Xochitl C. Morgan and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Akshay Bhinge

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshay Bhinge United States 17 978 146 110 97 88 25 1.2k
Akihito Harada Japan 25 1.2k 1.2× 113 0.8× 95 0.9× 135 1.4× 27 0.3× 73 1.6k
Stavroula Mili United States 17 1.4k 1.4× 162 1.1× 62 0.6× 69 0.7× 138 1.6× 23 1.6k
Erin M. Langdon United States 11 1.5k 1.5× 159 1.1× 41 0.4× 64 0.7× 65 0.7× 14 1.8k
Regina‐Maria Kolaitis United States 6 1.3k 1.3× 66 0.5× 45 0.4× 36 0.4× 197 2.2× 7 1.5k
Nathan J. Moerke United States 10 948 1.0× 60 0.4× 45 0.4× 68 0.7× 33 0.4× 15 1.2k
Vishwajeeth Pagala United States 18 767 0.8× 62 0.4× 64 0.6× 67 0.7× 71 0.8× 33 1.0k
Alexandra Segref Germany 20 2.8k 2.8× 74 0.5× 110 1.0× 119 1.2× 25 0.3× 25 3.0k
Florian A. Salomons Sweden 25 2.0k 2.1× 120 0.8× 77 0.7× 159 1.6× 166 1.9× 41 2.4k
Dhaval Varshney United Kingdom 14 1.7k 1.7× 98 0.7× 86 0.8× 115 1.2× 67 0.8× 16 1.8k
Andrew E. Wurmser United States 11 1.6k 1.6× 77 0.5× 154 1.4× 102 1.1× 27 0.3× 12 2.3k

Countries citing papers authored by Akshay Bhinge

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Bhinge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Bhinge

This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Bhinge. A scholar is included among the top collaborators of Akshay Bhinge 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 Akshay Bhinge. Akshay Bhinge 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
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Namboori, Seema C., et al.. (2024). ePRINT: exonuclease assisted mapping of protein-RNA interactions. Genome biology. 25(1). 140–140. 2 indexed citations
3.
Piers, Thomas M., Seema C. Namboori, Corin Liddle, et al.. (2024). WNT7A-positive dendritic cytonemes control synaptogenesis in cortical neurons. Development. 151(23). 2 indexed citations
4.
Namboori, Seema C., Christine S. Flaxman, Andrew D. Randall, et al.. (2022). Upregulation of β-catenin due to loss of miR-139 contributes to motor neuron death in amyotrophic lateral sclerosis. Stem Cell Reports. 17(7). 1650–1665. 12 indexed citations
5.
Namboori, Seema C., et al.. (2021). Single-cell transcriptomics identifies master regulators of neurodegeneration in SOD1 ALS iPSC-derived motor neurons. Stem Cell Reports. 16(12). 3020–3035. 19 indexed citations
6.
Wang, Jiaxu, Piroon Jenjaroenpun, Akshay Bhinge, et al.. (2017). Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons. Genome Research. 27(11). 1783–1794. 30 indexed citations
7.
Er, Jun Cheng, Cheryl Leong, Chai Lean Teoh, et al.. (2015). NeuO: a Fluorescent Chemical Probe for Live Neuron Labeling. Angewandte Chemie International Edition. 54(8). 2442–2446. 71 indexed citations
8.
Bhinge, Akshay, et al.. (2014). Mi R ‐135b is a direct PAX 6 target and specifies human neuroectoderm by inhibiting TGF ‐β/ BMP signaling. The EMBO Journal. 33(11). 1271–1283. 50 indexed citations
9.
Polioudakis, Damon, Akshay Bhinge, Patrick J. Killion, et al.. (2013). A Myc–microRNA network promotes exit from quiescence by suppressing the interferon response and cell-cycle arrest genes. Nucleic Acids Research. 41(4). 2239–2254. 42 indexed citations
10.
Johnson, Rory, Nadine Richter, Gireesh K. Bogu, et al.. (2012). A Genome-Wide Screen for Genetic Variants That Modify the Recruitment of REST to Its Target Genes. PLoS Genetics. 8(4). e1002624–e1002624. 16 indexed citations
11.
Lee, Bum-Kyu, Akshay Bhinge, Anna Battenhouse, et al.. (2011). Cell-type specific and combinatorial usage of diverse transcription factors revealed by genome-wide binding studies in multiple human cells. Genome Research. 22(1). 9–24. 102 indexed citations
12.
Lee, Bum-Kyu, Akshay Bhinge, & Vishwanath R. Iyer. (2011). Wide-ranging functions of E2F4 in transcriptional activation and repression revealed by genome-wide analysis. Nucleic Acids Research. 39(9). 3558–3573. 116 indexed citations
13.
Smith, Alexander, Constantinos Chronis, Manolis Christodoulakis, et al.. (2009). Epigenetics of human T cells during the G0→G1 transition. Genome Research. 19(8). 1325–1337. 17 indexed citations
14.
Shivaswamy, Sushma, Akshay Bhinge, Yongjun Zhao, et al.. (2008). Dynamic Remodeling of Individual Nucleosomes Across a Eukaryotic Genome in Response to Transcriptional Perturbation. PLoS Biology. 6(3). e65–e65. 305 indexed citations
15.
Bhinge, Akshay, Jonghwan Kim, Ghia Euskirchen, M Snyder, & Vishwanath R. Iyer. (2007). Mapping the chromosomal targets of STAT1 by Sequence Tag Analysis of Genomic Enrichment (STAGE). Genome Research. 17(6). 910–916. 50 indexed citations
16.
Bhinge, Akshay, et al.. (2004). Accurate Detection of Protein:Ligand Binding Sites Using Molecular Dynamics Simulations. Structure. 12(11). 1989–1999. 21 indexed citations
17.
Kim, Jonghwan, Akshay Bhinge, Xochitl C. Morgan, & Vishwanath R. Iyer. (2004). Mapping DNA-protein interactions in large genomes by sequence tag analysis of genomic enrichment. Nature Methods. 2(1). 47–53. 81 indexed citations
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19.
Bhinge, Akshay, et al.. (2001). Lysine: Is it worth more?. Cytotechnology. 36(1-3). 3–32. 33 indexed citations
20.
Datta, Debalina, et al.. (2000). Effect of Cationic Amino Acid, L-Lysine and its Polymers on the Growth and Secretion of Hybridoma Cell Line OKT-3. Hybridoma. 19(4). 339–346. 5 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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