Sanjay Khadayate

1.7k total citations
17 papers, 1.1k citations indexed

About

Sanjay Khadayate is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Sanjay Khadayate has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Sanjay Khadayate's work include RNA regulation and disease (2 papers), DNA Repair Mechanisms (2 papers) and Adipose Tissue and Metabolism (2 papers). Sanjay Khadayate is often cited by papers focused on RNA regulation and disease (2 papers), DNA Repair Mechanisms (2 papers) and Adipose Tissue and Metabolism (2 papers). Sanjay Khadayate collaborates with scholars based in United Kingdom, United States and Switzerland. Sanjay Khadayate's co-authors include Bruno Hudry, Irene Miguel‐Aliaga, Timothy J. Aitman, Simona Parrinello, Bernhard J. Haubner, Melanie Clements, Azhaar Ashraf, Martyna Adamowicz‐Brice, Bernhard Metzler and Josef Penninger and has published in prestigious journals such as Nature, Circulation and Journal of Clinical Investigation.

In The Last Decade

Sanjay Khadayate

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanjay Khadayate United Kingdom	13	553	354	151	149	99	17	1.1k
Delphine Bouhy Belgium	13	872 1.6×	323 0.9×	69 0.5×	128 0.9×	67 0.7×	19	1.4k
Anthony J. Griswold United States	18	651 1.2×	160 0.5×	166 1.1×	77 0.5×	28 0.3×	75	1.4k
Anna Papazoglou Germany	21	522 0.9×	305 0.9×	75 0.5×	284 1.9×	31 0.3×	63	1.4k
Thomas H. Hutson United Kingdom	17	790 1.4×	404 1.1×	113 0.7×	195 1.3×	20 0.2×	26	1.5k
Dominique Baas France	22	871 1.6×	168 0.5×	74 0.5×	90 0.6×	45 0.5×	36	1.5k
Martin J. Somerville Canada	23	767 1.4×	167 0.5×	123 0.8×	63 0.4×	65 0.7×	45	1.8k
Morito Sakaue Japan	18	1.1k 2.0×	370 1.0×	120 0.8×	324 2.2×	112 1.1×	32	1.9k
Ilaria Decimo Italy	18	516 0.9×	262 0.7×	90 0.6×	56 0.4×	45 0.5×	33	1.1k
Pedro Mancías United States	15	750 1.4×	809 2.3×	142 0.9×	47 0.3×	45 0.5×	37	1.7k
Zhengmao Hu China	25	1000 1.8×	430 1.2×	71 0.5×	61 0.4×	33 0.3×	127	1.9k

Countries citing papers authored by Sanjay Khadayate

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay Khadayate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Khadayate

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

All Works

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17 of 17 papers shown

Gallage, Suchira, Elaine E. Irvine, Jose Efren Barragan Avila, et al.. (2024). Ribosomal S6 kinase 1 regulates inflammaging via the senescence secretome. Nature Aging. 4(11). 1544–1561. 11 indexed citations

Khadayate, Sanjay, et al.. (2024). MCM2-7 loading-dependent ORC release ensures genome-wide origin licensing. Nature Communications. 15(1). 7306–7306. 5 indexed citations

Phillips, Ian, et al.. (2023). Metabolomic and transcriptomic analyses of Fmo5-/- mice reveal roles for flavin-containing monooxygenase 5 (FMO5) in NRF2-mediated oxidative stress response, unfolded protein response, lipid homeostasis, and carbohydrate and one-carbon metabolism. PLoS ONE. 18(6). e0286692–e0286692. 6 indexed citations

McHugh, Domhnall, Bin Sun, Carmen Gutiérrez‐Muñoz, et al.. (2023). COPI vesicle formation and N-myristoylation are targetable vulnerabilities of senescent cells. Nature Cell Biology. 25(12). 1804–1820. 26 indexed citations

Kunowska, Natalia, Greg Crawford, Yi-Fang Wang, et al.. (2021). RUNX1 Regulates a Transcription Program That Affects the Dynamics of Cell Cycle Entry of Naive Resting B Cells. The Journal of Immunology. 207(12). 2976–2991. 10 indexed citations

Kokkinou, Michelle, Elaine E. Irvine, David R. Bonsall, et al.. (2020). Reproducing the dopamine pathophysiology of schizophrenia and approaches to ameliorate it: a translational imaging study with ketamine. Molecular Psychiatry. 26(6). 2562–2576. 74 indexed citations

Smith, Mark A., Agharul I. Choudhury, Justyna Glegola, et al.. (2019). Extrahypothalamic GABAergic nociceptin–expressing neurons regulate AgRP neuron activity to control feeding behavior. Journal of Clinical Investigation. 130(1). 126–142. 24 indexed citations

Mirtschink, Peter, Minh Duc Pham, Rahul Sharma, et al.. (2019). Inhibition of the Hypoxia-Inducible Factor 1α–Induced Cardiospecific HERNA1 Enhance-Templated RNA Protects From Heart Disease. Circulation. 139(24). 2778–2792. 28 indexed citations

Rached, Marie-Therese, Steven J. Millership, Silvia M.A. Pedroni, et al.. (2018). Deletion of myeloid IRS2 enhances adipose tissue sympathetic nerve function and limits obesity. Molecular Metabolism. 20. 38–50. 19 indexed citations

10.

Clements, Melanie, Elizabeth H. Byrne, Anne-Laure Cattin, et al.. (2017). The Wound Microenvironment Reprograms Schwann Cells to Invasive Mesenchymal-like Cells to Drive Peripheral Nerve Regeneration. Neuron. 96(1). 98–114.e7. 251 indexed citations

11.

Hudry, Bruno, Sanjay Khadayate, & Irene Miguel‐Aliaga. (2016). The sexual identity of adult intestinal stem cells controls organ size and plasticity. Nature. 530(7590). 344–348. 129 indexed citations

12.

Krusche, Benjamin, Cristina Ottone, Melanie Clements, et al.. (2016). EphrinB2 drives perivascular invasion and proliferation of glioblastoma stem-like cells. eLife. 5. 78 indexed citations

13.

Bitton, Danny A., Falk Schubert, Michał Okoniewski, et al.. (2015). AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast. Frontiers in Genetics. 6. 330–330. 51 indexed citations

14.

Tomlinson, James, Ben Caplin, Pedro R. Cutillas, et al.. (2015). Reduced Renal Methylarginine Metabolism Protects against Progressive Kidney Damage. Journal of the American Society of Nephrology. 26(12). 3045–3059. 30 indexed citations

15.

Chan, Paul K.S., Raul M. Torres, Cihangir Yandım, et al.. (2013). Heterochromatinization induced by GAA-repeat hyperexpansion in Friedreich's ataxia can be reduced upon HDAC inhibition by vitamin B3. Human Molecular Genetics. 22(13). 2662–2675. 61 indexed citations

16.

Ferreirós-Vidal, Isabel, Thomas Carroll, Ben Taylor, et al.. (2013). Genome-wide identification of Ikaros targets elucidates its contribution to mouse B-cell lineage specification and pre-B–cell differentiation. Blood. 121(10). 1769–1782. 87 indexed citations

17.

Haubner, Bernhard J., Martyna Adamowicz‐Brice, Sanjay Khadayate, et al.. (2012). Complete cardiac regeneration in a mouse model of myocardial infarction. Aging. 4(12). 966–977. 187 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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