Utham K. Valekunja

1.8k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Utham K. Valekunja is a scholar working on Endocrine and Autonomic Systems, Aging and Molecular Biology. According to data from OpenAlex, Utham K. Valekunja has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrine and Autonomic Systems, 7 papers in Aging and 4 papers in Molecular Biology. Recurrent topics in Utham K. Valekunja's work include Circadian rhythm and melatonin (13 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Sleep and Wakefulness Research (3 papers). Utham K. Valekunja is often cited by papers focused on Circadian rhythm and melatonin (13 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Sleep and Wakefulness Research (3 papers). Utham K. Valekunja collaborates with scholars based in United Kingdom, United States and Netherlands. Utham K. Valekunja's co-authors include Akhilesh B. Reddy, John S. O’Neill, Rachel S. Edgar, Kevin A. Feeney, María Olmedo, Martha Merrow, Michael H. Hastings, Elizabeth S. Maywood, Edward W. Green and Min Pan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Utham K. Valekunja

14 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Peroxiredoxins are conserved markers of circadian rhythms

2012 682 citations Rachel S. Edgar, Edward W. Green et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Utham K. Valekunja United Kingdom	10	769	462	339	322	215	14	1.3k
Rachel S. Edgar United Kingdom	12	718 0.9×	400 0.9×	320 0.9×	298 0.9×	181 0.8×	18	1.3k
Shihoko Kojima United States	16	744 1.0×	409 0.9×	377 1.1×	416 1.3×	240 1.1×	28	1.2k
Ximing Qin China	14	706 0.9×	649 1.4×	233 0.7×	467 1.5×	122 0.6×	27	1.3k
Kevin A. Feeney United Kingdom	13	680 0.9×	610 1.3×	287 0.8×	832 2.6×	163 0.8×	15	1.8k
Pascal Gos Switzerland	14	839 1.1×	499 1.1×	520 1.5×	209 0.6×	187 0.9×	14	1.5k
María Olmedo Spain	17	540 0.7×	629 1.4×	229 0.7×	550 1.7×	273 1.3×	28	1.4k
Marina Golik Israel	16	1.0k 1.3×	384 0.8×	906 2.7×	183 0.6×	233 1.1×	28	1.8k
Vincent Laudet France	15	871 1.1×	356 0.8×	492 1.5×	239 0.7×	200 0.9×	18	1.4k
Hikari Yoshitane Japan	19	888 1.2×	386 0.8×	410 1.2×	262 0.8×	292 1.4×	35	1.3k
Silke Reischl Germany	12	992 1.3×	316 0.7×	291 0.9×	543 1.7×	275 1.3×	15	1.3k

Countries citing papers authored by Utham K. Valekunja

Since Specialization

Citations

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

Fields of papers citing papers by Utham K. Valekunja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Utham K. Valekunja. 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 Utham K. Valekunja. The network helps show where Utham K. Valekunja may publish in the future.

Co-authorship network of co-authors of Utham K. Valekunja

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Jha, Pawan Kumar, Utham K. Valekunja, & Akhilesh B. Reddy. (2025). An integrative analysis of cell-specific transcriptomics and nuclear proteomics of sleep-deprived mouse cerebral cortex. Scientific Reports. 15(1). 27677–27677. 2 indexed citations

Jha, Pawan Kumar, Utham K. Valekunja, & Akhilesh B. Reddy. (2024). SlumberNet: deep learning classification of sleep stages using residual neural networks. Scientific Reports. 14(1). 4797–4797. 4 indexed citations

Naik, Amruta, Utham K. Valekunja, Soon Yew Tang, et al.. (2023). Circadian regulation of lung repair and regeneration. JCI Insight. 8(16). 7 indexed citations

Beale, Andrew D., Edward A. Hayter, Priya Crosby, et al.. (2023). Mechanisms and physiological function of daily haemoglobin oxidation rhythms in red blood cells. The EMBO Journal. 42(19). e114164–e114164. 12 indexed citations

Jha, Pawan Kumar, Utham K. Valekunja, Sandipan Ray, Mathieu Nollet, & Akhilesh B. Reddy. (2022). Single-cell transcriptomics and cell-specific proteomics reveals molecular signatures of sleep. Communications Biology. 5(1). 846–846. 24 indexed citations

Ch, Ratnasekhar, Guillaume Rey, Sandipan Ray, et al.. (2021). Rhythmic glucose metabolism regulates the redox circadian clockwork in human red blood cells. Nature Communications. 12(1). 377–377. 55 indexed citations

Ray, Sandipan, Utham K. Valekunja, Alessandra Stangherlin, et al.. (2020). Circadian rhythms in the absence of the clock gene Bmal1. Science. 367(6479). 800–806. 140 indexed citations

Ray, Sandipan, Radosław Lach, Kate J. Heesom, et al.. (2019). Phenotypic proteomic profiling identifies a landscape of targets for circadian clock–modulating compounds. Life Science Alliance. 2(6). e201900603–e201900603. 12 indexed citations

Rey, Guillaume, N Milev, Utham K. Valekunja, et al.. (2018). Metabolic oscillations on the circadian time scale in Drosophila cells lacking clock genes. Molecular Systems Biology. 14(8). e8376–e8376. 36 indexed citations

10.

Rey, Guillaume, Utham K. Valekunja, Kevin A. Feeney, et al.. (2016). The Pentose Phosphate Pathway Regulates the Circadian Clock. Cell Metabolism. 24(3). 462–473. 124 indexed citations

11.

Milev, N, Guillaume Rey, Utham K. Valekunja, et al.. (2014). Analysis of the Redox Oscillations in the Circadian Clockwork. Methods in enzymology on CD-ROM/Methods in enzymology. 552. 185–210. 7 indexed citations

12.

Valekunja, Utham K., Rachel S. Edgar, Małgorzata Oklejewicz, et al.. (2013). Histone methyltransferase MLL3 contributes to genome-scale circadian transcription. Proceedings of the National Academy of Sciences. 110(4). 1554–1559. 101 indexed citations

13.

Edgar, Rachel S., Edward W. Green, Yuwei Zhao, et al.. (2012). Peroxiredoxins are conserved markers of circadian rhythms. Nature. 485(7399). 459–464. 682 indexed citations breakdown →

14.

Olmedo, María, John S. O’Neill, Rachel S. Edgar, et al.. (2012). Circadian regulation of olfaction and an evolutionarily conserved, nontranscriptional marker in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 109(50). 20479–20484. 51 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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