Abhijit Shukla

1.8k total citations
20 papers, 1.2k citations indexed

About

Abhijit Shukla is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Abhijit Shukla has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Aging. Recurrent topics in Abhijit Shukla's work include Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (10 papers) and Genomics and Chromatin Dynamics (9 papers). Abhijit Shukla is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (10 papers) and Genomics and Chromatin Dynamics (9 papers). Abhijit Shukla collaborates with scholars based in United States, Spain and Israel. Abhijit Shukla's co-authors include Sukesh R. Bhaumik, Jessica Schneider, Ali Shilatifard, Michael P. Washburn, Selene K. Swanson, Laurence Florens, Jung‐Shin Lee, B Bernstein, Xiaoling Wang and Robert G. Roeder and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Abhijit Shukla

20 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
Abhijit Shukla United States 16 1.2k 99 94 61 55 20 1.2k
Elisabeth Simboeck Austria 9 775 0.7× 102 1.0× 143 1.5× 69 1.1× 82 1.5× 11 872
Yaxue Zeng United States 7 780 0.7× 95 1.0× 68 0.7× 62 1.0× 96 1.7× 10 858
Evangelia Koutelou United States 14 665 0.6× 68 0.7× 59 0.6× 63 1.0× 103 1.9× 16 767
Dario Nicetto United States 7 681 0.6× 82 0.8× 90 1.0× 50 0.8× 25 0.5× 10 770
Tiaojiang Xiao United States 12 1.8k 1.5× 153 1.5× 212 2.3× 133 2.2× 81 1.5× 16 1.9k
Anna Battenhouse United States 11 666 0.6× 175 1.8× 69 0.7× 94 1.5× 46 0.8× 17 743
Andrea Harničarová Czechia 10 520 0.4× 65 0.7× 59 0.6× 34 0.6× 44 0.8× 11 601
Anna Sawicka Austria 11 546 0.5× 79 0.8× 70 0.7× 48 0.8× 52 0.9× 12 630
H. Shuen Lo United States 6 522 0.4× 191 1.9× 61 0.6× 61 1.0× 48 0.9× 7 647
Rabah Iratni France 7 871 0.7× 138 1.4× 109 1.2× 35 0.6× 92 1.7× 9 954

Countries citing papers authored by Abhijit Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Abhijit Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhijit Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Shukla. A scholar is included among the top collaborators of Abhijit Shukla 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 Abhijit Shukla. Abhijit Shukla 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.
Shukla, Abhijit & Danwei Huangfu. (2018). Decoding the noncoding genome via large-scale CRISPR screens. Current Opinion in Genetics & Development. 52. 70–76. 21 indexed citations
2.
Verma, Nipun, Heng Pan, Louis C. Doré, et al.. (2017). TET proteins safeguard bivalent promoters from de novo methylation in human embryonic stem cells. Nature Genetics. 50(1). 83–95. 145 indexed citations
3.
Sen, Rwik, et al.. (2014). Sus1p Facilitates Pre-Initiation Complex Formation at the SAGA-Regulated Genes Independently of Histone H2B De-Ubiquitylation. Journal of Molecular Biology. 426(16). 2928–2941. 16 indexed citations
4.
Shukla, Abhijit, et al.. (2011). Sgf29p Facilitates the Recruitment of TATA Box Binding Protein but Does Not Alter SAGA’s Global Structural Integrity in Vivo. Biochemistry. 51(2). 706–714. 17 indexed citations
5.
Jiang, Hao, Abhijit Shukla, Xiaoling Wang, et al.. (2011). Role for Dpy-30 in ES Cell-Fate Specification by Regulation of H3K4 Methylation within Bivalent Domains. Cell. 144(4). 513–525. 223 indexed citations
6.
Jiang, Hao, et al.. (2011). Role for Dpy-30 in ES Cell-Fate Specification by Regulation of H3K4 Methylation within Bivalent Domains. Cell. 144(5). 825–825. 6 indexed citations
7.
Malik, Shivani, et al.. (2010). Regulation of Chromatin Assembly/Disassembly by Rtt109p, a Histone H3 Lys56-specific Acetyltransferase, in Vivo. Journal of Biological Chemistry. 285(40). 30472–30479. 20 indexed citations
8.
Shukla, Abhijit, et al.. (2010). The mRNA cap-binding complex stimulates the formation of pre-initiation complex at the promoter via its interaction with Mot1p in vivo. Nucleic Acids Research. 39(6). 2188–2209. 28 indexed citations
9.
Shukla, Abhijit, et al.. (2009). The Interactions of the Largest Subunit of RNA Polymerase II with Other Cellular Proteins: a Bioinformatic Approach. Current Issues in Molecular Biology. 11 Suppl 1. i65–71. 3 indexed citations
10.
Malik, Shivani, Abhijit Shukla, Payel Sen, & Sukesh R. Bhaumik. (2009). The 19 S Proteasome Subcomplex Establishes a Specific Protein Interaction Network at the Promoter for Stimulated Transcriptional Initiation in Vivo. Journal of Biological Chemistry. 284(51). 35714–35724. 35 indexed citations
11.
Shukla, Abhijit, et al.. (2009). Stimulation of mRNA Export by an F-box Protein, Mdm30p, in Vivo. Journal of Molecular Biology. 389(2). 238–247. 13 indexed citations
12.
Malik, Shivani, et al.. (2009). Rad26p, a transcription-coupled repair factor, is recruited to the site of DNA lesion in an elongating RNA polymerase II-dependent manner in vivo. Nucleic Acids Research. 38(5). 1461–1477. 53 indexed citations
13.
Shukla, Abhijit, et al.. (2008). Histone methylation and ubiquitination with their cross-talk and roles in gene expression and stability. Cellular and Molecular Life Sciences. 5 indexed citations
14.
Shukla, Abhijit, et al.. (2008). Histone methylation and ubiquitination with their cross-talk and roles in gene expression and stability. Cellular and Molecular Life Sciences. 66(8). 1419–1433. 80 indexed citations
15.
Shukla, Abhijit & Sukesh R. Bhaumik. (2007). H2B-K123 ubiquitination stimulates RNAPII elongation independent of H3-K4 methylation. Biochemical and Biophysical Research Communications. 359(2). 214–220. 37 indexed citations
16.
Lee, Jung‐Shin, Abhijit Shukla, Jessica Schneider, et al.. (2007). Histone Crosstalk between H2B Monoubiquitination and H3 Methylation Mediated by COMPASS. Cell. 131(6). 1084–1096. 328 indexed citations
17.
Wood, Adam, Abhijit Shukla, Jessica Schneider, et al.. (2006). Ctk Complex-Mediated Regulation of Histone Methylation by COMPASS. Molecular and Cellular Biology. 27(2). 709–720. 54 indexed citations
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20.
Shukla, Abhijit, et al.. (2006). Ubp8p, a Histone Deubiquitinase Whose Association with SAGA Is Mediated by Sgf11p, Differentially Regulates Lysine 4 Methylation of Histone H3 In Vivo. Molecular and Cellular Biology. 26(9). 3339–3352. 79 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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