Sachin Katyal

2.3k total citations
35 papers, 1.8k citations indexed

About

Sachin Katyal is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Sachin Katyal has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Sachin Katyal's work include DNA Repair Mechanisms (17 papers), RNA Research and Splicing (6 papers) and Mitochondrial Function and Pathology (5 papers). Sachin Katyal is often cited by papers focused on DNA Repair Mechanisms (17 papers), RNA Research and Splicing (6 papers) and Mitochondrial Function and Pathology (5 papers). Sachin Katyal collaborates with scholars based in Canada, United States and United Kingdom. Sachin Katyal's co-authors include Peter J. McKinnon, Keith W. Caldecott, Sherif F. El‐Khamisy, H. R. Russell, Youngsoo Lee, Jingfeng Zhao, Paula Clements, Yankun Gao, Roseline Godbout and Ulrich Rass and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Sachin Katyal

33 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachin Katyal Canada 19 1.6k 463 221 156 155 35 1.8k
Fabrizio Loreni Italy 30 1.7k 1.0× 248 0.5× 192 0.9× 157 1.0× 104 0.7× 58 2.0k
Longchuan Chen United States 17 1.1k 0.7× 420 0.9× 180 0.8× 182 1.2× 58 0.4× 28 1.4k
Shin‐ichiro Kanno Japan 21 1.4k 0.9× 333 0.7× 224 1.0× 194 1.2× 61 0.4× 32 1.6k
Vanesa Lafarga Spain 18 1.2k 0.7× 368 0.8× 126 0.6× 97 0.6× 97 0.6× 32 1.4k
Yuzuru Shiio United States 21 1.5k 0.9× 364 0.8× 292 1.3× 161 1.0× 58 0.4× 34 1.9k
Amila Suraweera Australia 16 1.3k 0.8× 302 0.7× 155 0.7× 86 0.6× 142 0.9× 25 1.6k
Ulrich Rass United Kingdom 15 1.4k 0.9× 235 0.5× 192 0.9× 153 1.0× 126 0.8× 22 1.5k
Kumiko Koyama Japan 21 767 0.5× 340 0.7× 251 1.1× 276 1.8× 104 0.7× 58 1.6k
Stephan P. Tenbaum Spain 17 1.2k 0.8× 339 0.7× 223 1.0× 281 1.8× 108 0.7× 23 1.6k
David Karnak United States 19 1.2k 0.7× 565 1.2× 173 0.8× 86 0.6× 118 0.8× 29 1.6k

Countries citing papers authored by Sachin Katyal

Since Specialization
Citations

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

Fields of papers citing papers by Sachin Katyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Katyal

This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Katyal. A scholar is included among the top collaborators of Sachin Katyal 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 Sachin Katyal. Sachin Katyal 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.
Yang, Jiayu, Lin Yang, Oliver Bucher, et al.. (2023). Clinical Outcomes in a Large Canadian Centralized CLL Clinic Based on Treatment and Molecular Factors over a Decade. Current Oncology. 30(7). 6411–6431.
2.
Chen, Yongqiang, Sara E. Kost, Xiaoyan Yang, et al.. (2023). Venetoclax inhibits autophagy in chronic lymphocytic leukemia cells. SHILAP Revista de lepidopterología. 2(1). 2169518–2169518. 2 indexed citations
3.
Ahmad, Manzoor, et al.. (2022). Large Solitary Pyogenic Liver Abscesses: A Review of Their Management at a Tertiary Care Hospital. Cureus. 14(3). e23170–e23170. 1 indexed citations
4.
Singh, Amandeep, Meghan B. Azad, Elizabeth S. Henson, et al.. (2018). The BH3 only Bcl-2 family member BNIP3 regulates cellular proliferation. PLoS ONE. 13(10). e0204792–e0204792. 22 indexed citations
5.
Heo, Jinho, Jing Li, Sachin Katyal, et al.. (2015). TDP1 promotes assembly of non-homologous end joining protein complexes on DNA. DNA repair. 30. 28–37. 36 indexed citations
6.
Lee, Youngsoo, Pierre‐Olivier Frappart, Sachin Katyal, et al.. (2012). ATR maintains select progenitors during nervous system development. The EMBO Journal. 31(5). 1177–1189. 65 indexed citations
7.
Lee, Youngsoo, Sachin Katyal, Susanna M. Downing, et al.. (2012). Neurogenesis requires TopBP1 to prevent catastrophic replicative DNA damage in early progenitors. Nature Neuroscience. 15(6). 819–826. 51 indexed citations
8.
Katyal, Sachin & Peter J. McKinnon. (2011). Disconnecting XRCC1 and DNA ligase III. Cell Cycle. 10(14). 2269–2275. 19 indexed citations
9.
Gao, Yankun, Sachin Katyal, Youngsoo Lee, et al.. (2011). DNA ligase III is critical for mtDNA integrity but not Xrcc1-mediated nuclear DNA repair. Nature. 471(7337). 240–244. 149 indexed citations
10.
Simsek, Deniz, Erika Brunet, Sunnie Wong, et al.. (2011). DNA Ligase III Promotes Alternative Nonhomologous End-Joining during Chromosomal Translocation Formation. PLoS Genetics. 7(6). e1002080–e1002080. 237 indexed citations
11.
Katyal, Sachin, Darryl Glubrecht, Lei Li, Zhihua Gao, & Roseline Godbout. (2011). Disabled-1 Alternative Splicing in Human Fetal Retina and Neural Tumors. PLoS ONE. 6(12). e28579–e28579. 15 indexed citations
12.
Lee, Youngsoo, Sachin Katyal, Yang Li, et al.. (2009). The genesis of cerebellar interneurons and the prevention of neural DNA damage require XRCC1. Nature Neuroscience. 12(8). 973–980. 84 indexed citations
13.
Bécherel, Olivier J., Burkhard Jakob, Nuri Gueven, et al.. (2009). CK2 phosphorylation-dependent interaction between aprataxin and MDC1 in the DNA damage response. Nucleic Acids Research. 38(5). 1489–1503. 49 indexed citations
14.
El‐Khamisy, Sherif F., Sachin Katyal, Poorvi Patel, et al.. (2009). Synergistic decrease of DNA single-strand break repair rates in mouse neural cells lacking both Tdp1 and aprataxin. DNA repair. 8(6). 760–766. 70 indexed citations
15.
Katyal, Sachin & Peter J. McKinnon. (2008). DNA strand breaks, neurodegeneration and aging in the brain. Mechanisms of Ageing and Development. 129(7-8). 483–491. 65 indexed citations
16.
Katyal, Sachin, Sherif F. El‐Khamisy, H. R. Russell, et al.. (2007). TDP1 facilitates chromosomal single‐strand break repair in neurons and is neuroprotective in vivo. The EMBO Journal. 26(22). 4720–4731. 177 indexed citations
17.
Ahel, Ivan, Ulrich Rass, Sherif F. El‐Khamisy, et al.. (2006). The neurodegenerative disease protein aprataxin resolves abortive DNA ligation intermediates. Nature. 443(7112). 713–716. 298 indexed citations
18.
Li, Lei, et al.. (2005). Dynamic Nature of Cleavage Bodies and Their Spatial Relationship to DDX1 Bodies, Cajal Bodies, and Gems. Molecular Biology of the Cell. 17(3). 1126–1140. 52 indexed citations
19.
Godbout, Roseline, et al.. (2003). Isolation of a novel cDNA enriched in the undifferentiated chick retina and lens. Developmental Dynamics. 227(3). 409–415. 6 indexed citations
20.
Godbout, Roseline, Mary Packer, Sachin Katyal, & Stacey Bléoo. (2002). Cloning and expression analysis of the chicken DEAD box gene DDX1. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1574(1). 63–71. 12 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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