Sheetal Kumar

1.1k total citations
9 papers, 890 citations indexed

About

Sheetal Kumar is a scholar working on Molecular Biology, Oncology and Biochemistry. According to data from OpenAlex, Sheetal Kumar has authored 9 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biochemistry. Recurrent topics in Sheetal Kumar's work include Antioxidant Activity and Oxidative Stress (3 papers), DNA Repair Mechanisms (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Sheetal Kumar is often cited by papers focused on Antioxidant Activity and Oxidative Stress (3 papers), DNA Repair Mechanisms (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Sheetal Kumar collaborates with scholars based in United Kingdom and United States. Sheetal Kumar's co-authors include Martin R. Bennett, Nichola Figg, Kelly Gray, John R. Mercer, Lauren Baker, Murray C.H. Clarke, Isabelle Gorenne, Haixiang Yu, Johannes Reinhold and Alison Finigan and has published in prestigious journals such as Circulation, The Journal of Immunology and Circulation Research.

In The Last Decade

Sheetal Kumar

9 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheetal Kumar United Kingdom 7 451 247 235 125 113 9 890
Kelly Gray United Kingdom 12 468 1.0× 249 1.0× 236 1.0× 112 0.9× 120 1.1× 16 1.0k
Yuyu Yang China 25 888 2.0× 210 0.9× 87 0.4× 197 1.6× 99 0.9× 45 1.3k
Shun-Lin Qu China 9 223 0.5× 178 0.7× 132 0.6× 111 0.9× 51 0.5× 11 658
Panjamaporn Sangwung United States 18 750 1.7× 138 0.6× 258 1.1× 234 1.9× 75 0.7× 23 1.3k
Balachandar Venkatesan United States 20 789 1.7× 171 0.7× 131 0.6× 82 0.7× 52 0.5× 25 1.2k
Kirsty Foote United Kingdom 10 467 1.0× 275 1.1× 145 0.6× 105 0.8× 22 0.2× 18 841
Brendan Gongol United States 15 606 1.3× 163 0.7× 159 0.7× 150 1.2× 34 0.3× 23 952
Karin Rothgiesser Switzerland 7 279 0.6× 122 0.5× 132 0.6× 175 1.4× 313 2.8× 12 693
Bingqing Zheng China 11 323 0.7× 132 0.5× 107 0.5× 95 0.8× 75 0.7× 16 654
Qiu‐Yue Lin China 19 427 0.9× 227 0.9× 84 0.4× 114 0.9× 33 0.3× 42 960

Countries citing papers authored by Sheetal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sheetal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheetal Kumar

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

All Works

9 of 9 papers shown
1.
McElwee, Joshua, Neelu Kaila, Samantha Carreiro, et al.. (2023). Discovery and characterization of novel inhibitors of CTP synthase 1 (CTPS1) for the treatment of autoimmune and inflammatory disease. The Journal of Immunology. 210(Supplement_1). 165.16–165.16. 2 indexed citations
2.
Sullivan, Kelly, Sheetal Kumar, Xin Liu, et al.. (2022). Uncovering the roles of dihydropyrimidine dehydrogenase in fatty-acid induced steatosis using human cellular models. Scientific Reports. 12(1). 14109–14109. 10 indexed citations
3.
Čekan, Pavol, Keisuke Hasegawa, Yu Pan, et al.. (2016). RCC1-dependent activation of Ran accelerates cell cycle and DNA repair, inhibiting DNA damage–induced cell senescence. Molecular Biology of the Cell. 27(8). 1346–1357. 39 indexed citations
4.
Kumar, Sheetal. (2015). Analysis of Factors Involved in Choosing Requirement Elicitation Techniques For Agile Methodology. 3(4). 49–53. 2 indexed citations
5.
Wang, Julie, Anna Uryga, Johannes Reinhold, et al.. (2015). Vascular Smooth Muscle Cell Senescence Promotes Atherosclerosis and Features of Plaque Vulnerability. Circulation. 132(20). 1909–1919. 275 indexed citations
6.
Gray, Kelly, Sheetal Kumar, Nichola Figg, et al.. (2014). Effects of DNA Damage in Smooth Muscle Cells in Atherosclerosis. Circulation Research. 116(5). 816–826. 81 indexed citations
8.
Gorenne, Isabelle, Sheetal Kumar, Kelly Gray, et al.. (2012). Vascular Smooth Muscle Cell Sirtuin 1 Protects Against DNA Damage and Inhibits Atherosclerosis. Circulation. 127(3). 386–396. 226 indexed citations
9.
Mercer, John R., Kelly Gray, Nichola Figg, Sheetal Kumar, & Martin R. Bennett. (2012). The Methyl Xanthine Caffeine Inhibits DNA Damage Signaling and Reactive Species and Reduces Atherosclerosis in ApoE −/− Mice. Arteriosclerosis Thrombosis and Vascular Biology. 32(10). 2461–2467. 23 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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