Devraj Singh

710 total citations
26 papers, 527 citations indexed

About

Devraj Singh is a scholar working on Ecology, Evolution, Behavior and Systematics, Endocrine and Autonomic Systems and Ecology. According to data from OpenAlex, Devraj Singh has authored 26 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Endocrine and Autonomic Systems and 9 papers in Ecology. Recurrent topics in Devraj Singh's work include Animal Behavior and Reproduction (12 papers), Circadian rhythm and melatonin (10 papers) and Avian ecology and behavior (9 papers). Devraj Singh is often cited by papers focused on Animal Behavior and Reproduction (12 papers), Circadian rhythm and melatonin (10 papers) and Avian ecology and behavior (9 papers). Devraj Singh collaborates with scholars based in India, United States and United Kingdom. Devraj Singh's co-authors include Vinod Kumar, Sangeeta Rani, Ila Mishra, Aakansha Sharma, Stuart Farrow, Julie Gibbs, Jonathan Plumb, David Ray, Stephen Beesley and Andrew Loudon and has published in prestigious journals such as The FASEB Journal, Environmental Pollution and Endocrinology.

In The Last Decade

Devraj Singh

25 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devraj Singh India 12 285 196 163 102 91 26 527
Shalie Malik India 16 371 1.3× 396 2.0× 372 2.3× 43 0.4× 127 1.4× 70 815
Amit Kumar Trivedi India 15 280 1.0× 271 1.4× 235 1.4× 55 0.5× 83 0.9× 52 613
Ila Mishra India 12 178 0.6× 109 0.6× 78 0.5× 97 1.0× 41 0.5× 26 374
Itaru Hasunuma Japan 15 160 0.6× 146 0.7× 75 0.5× 16 0.2× 177 1.9× 37 670
Dhanashree Paranjpe India 14 172 0.6× 160 0.8× 94 0.6× 48 0.5× 125 1.4× 20 482
Meghan S. Martin‐Wintle United States 11 74 0.3× 138 0.7× 153 0.9× 29 0.3× 37 0.4× 16 397
Aakansha Sharma India 12 106 0.4× 154 0.8× 146 0.9× 29 0.3× 43 0.5× 29 412
Gabriela Wagner United Kingdom 10 291 1.0× 87 0.4× 64 0.4× 77 0.8× 90 1.0× 15 431
Sjaak J. Riede Netherlands 8 226 0.8× 124 0.6× 94 0.6× 95 0.9× 62 0.7× 8 382
John S. Willis United States 9 104 0.4× 400 2.0× 311 1.9× 266 2.6× 34 0.4× 20 706

Countries citing papers authored by Devraj Singh

Since Specialization
Citations

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

Fields of papers citing papers by Devraj Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devraj Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Devraj Singh. A scholar is included among the top collaborators of Devraj Singh 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 Devraj Singh. Devraj Singh 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.
2.
Singh, Devraj, et al.. (2021). Exposure to artificial light at night accelerates but does not override latitude-dependent seasonal reproductive response in a North American songbird. Environmental Pollution. 279. 116867–116867. 9 indexed citations
3.
Sharma, Aakansha, et al.. (2021). Molecular changes associated with migratory departure from wintering areas in obligate songbird migrants. Journal of Experimental Biology. 224(11). 11 indexed citations
4.
Sharma, Aakansha, et al.. (2021). Differences in transcription regulation of diurnal metabolic support to physiologically contrasting seasonal life-history states in migratory songbirds. Journal für Ornithologie. 163(1). 199–212. 8 indexed citations
5.
Becker, Daniel J., et al.. (2020). Artificial light at night amplifies seasonal relapse of haemosporidian parasites in a widespread songbird. Proceedings of the Royal Society B Biological Sciences. 287(1935). 20201831–20201831. 16 indexed citations
6.
Singh, Devraj, et al.. (2020). Local adaptation from afar: migratory bird populations diverge in the initiation of reproductive timing while wintering in sympatry. Biology Letters. 16(10). 20200493–20200493. 6 indexed citations
7.
Singh, Devraj, et al.. (2020). Breeding at higher latitude is associated with higher photoperiodic threshold and delayed reproductive development in a songbird. Hormones and Behavior. 128. 104907–104907. 9 indexed citations
8.
Mina, Usha, et al.. (2018). Climate Change Impacts on Plants Population and Community Ecological Attributes, Mitigation Strategies and Policy Interventions - A Review. Applied ecology and environmental sciences. 6(3). 84–92. 1 indexed citations
9.
Singh, Devraj, et al.. (2018). Assessment of Role of Flaxseed Mouth Freshener for Nutritional and Economic Upliftment of Flaxseed Growers. International Journal of Current Microbiology and Applied Sciences. 7(11). 2276–2282. 1 indexed citations
10.
Singh, Devraj, Vivek Swarup, Hiep D. Le, & Vinod Kumar. (2018). Transcriptional Signatures in Liver Reveal Metabolic Adaptations to Seasons in Migratory Blackheaded Buntings. Frontiers in Physiology. 9. 1568–1568. 20 indexed citations
11.
Sharma, Aakansha, et al.. (2018). Hypothalamic and liver transcriptome from two crucial life‐history stages in a migratory songbird. Experimental Physiology. 103(4). 559–569. 28 indexed citations
12.
Sharma, Aakansha, Devraj Singh, Shalie Malik, et al.. (2018). Difference in control between spring and autumn migration in birds: insight from seasonal changes in hypothalamic gene expression in captive buntings. Proceedings of the Royal Society B Biological Sciences. 285(1885). 20181531–20181531. 56 indexed citations
13.
14.
Singh, Devraj & Vinod Kumar. (2017). Extra-hypothalamic brain clocks in songbirds: Photoperiodic state dependent clock gene oscillations in night-migratory blackheaded buntings, Emberiza melanocephala. Journal of Photochemistry and Photobiology B Biology. 169. 13–20. 9 indexed citations
15.
Mishra, Ila, Devraj Singh, & Vinod Kumar. (2017). Daily levels and rhythm in circulating corticosterone and insulin are altered with photostimulated seasonal states in night-migratory blackheaded buntings. Hormones and Behavior. 94. 114–123. 24 indexed citations
16.
Singh, Devraj, et al.. (2016). Seasonal trend in movement directions at dawn and dusk: a study on crow and white herons. Biological Rhythm Research. 47(4). 553–559. 1 indexed citations
17.
18.
Singh, Devraj, Sangeeta Rani, & Vinod Kumar. (2013). Daily Expression of Six Clock Genes in Central and Peripheral Tissues of a Night-Migratory SongBird: Evidence for Tissue-Specific Circadian Timing. Chronobiology International. 30(10). 1208–1217. 69 indexed citations
19.
Blaikley, John, et al.. (2010). T1 Rev-erb , a novel anti-inflammatory target, modifies the circadian oscillation of pulmonary inflammation. Thorax. 65(Suppl 4). A1–A1. 1 indexed citations
20.
Gibbs, Julie, Stephen Beesley, Jonathan Plumb, et al.. (2008). Circadian Timing in the Lung; A Specific Role for Bronchiolar Epithelial Cells. Endocrinology. 150(1). 268–276. 102 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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