Devendra Pratap Singh

455 total citations
25 papers, 313 citations indexed

About

Devendra Pratap Singh is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Devendra Pratap Singh has authored 25 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Plant Science and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Devendra Pratap Singh's work include Photosynthetic Processes and Mechanisms (8 papers), Algal biology and biofuel production (6 papers) and Tuberculosis Research and Epidemiology (3 papers). Devendra Pratap Singh is often cited by papers focused on Photosynthetic Processes and Mechanisms (8 papers), Algal biology and biofuel production (6 papers) and Tuberculosis Research and Epidemiology (3 papers). Devendra Pratap Singh collaborates with scholars based in India, United Kingdom and Nepal. Devendra Pratap Singh's co-authors include T.K. Mandal, Rajesh Dabur, V.K. Bajpai, G S Lavekar, Ankur Gupta, Namita Singh, K. S. Verma, Deepak Kumar Saini, Dinesh C. Dobhal and Neerupma Bhardwaj and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Devendra Pratap Singh

23 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devendra Pratap Singh India 9 133 93 79 34 27 25 313
A. Panneerselvam India 12 164 1.2× 138 1.5× 64 0.8× 21 0.6× 16 0.6× 79 528
Yao He China 13 103 0.8× 114 1.2× 90 1.1× 24 0.7× 12 0.4× 37 389
Changyun Xiong China 10 144 1.1× 129 1.4× 58 0.7× 17 0.5× 6 0.2× 17 367
И. Д. Макаренкова Russia 12 79 0.6× 151 1.6× 64 0.8× 12 0.4× 35 1.3× 33 540
Paramita Karmakar India 5 190 1.4× 130 1.4× 94 1.2× 21 0.6× 28 1.0× 9 616
Mohammed Y. Refai Saudi Arabia 14 89 0.7× 107 1.2× 48 0.6× 17 0.5× 24 0.9× 39 358
Pinaki Mandal India 7 213 1.6× 175 1.9× 73 0.9× 28 0.8× 36 1.3× 12 779
Ghosia Lutfullah Pakistan 10 133 1.0× 56 0.6× 51 0.6× 12 0.4× 15 0.6× 38 413
Fazia Adyani Ahmad Fuad Malaysia 6 140 1.1× 162 1.7× 36 0.5× 11 0.3× 18 0.7× 14 436
M.A. Carballo Argentina 10 196 1.5× 98 1.1× 80 1.0× 15 0.4× 24 0.9× 19 440

Countries citing papers authored by Devendra Pratap Singh

Since Specialization
Citations

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

Fields of papers citing papers by Devendra Pratap Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devendra Pratap Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Devendra Pratap Singh. A scholar is included among the top collaborators of Devendra Pratap 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 Devendra Pratap Singh. Devendra Pratap 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, Devendra Pratap. (2025). A Review on Hydrogen Powered Fuel Cell Vehicles: The Present Scenario and Prospects for the Future. Current Sustainable/Renewable Energy Reports. 12(1).
3.
Singh, Devendra Pratap, et al.. (2024). Microwave-assisted acid extraction of high-methoxyl kinnow (Citrus reticulata) peels pectin: Process, techno-functionality, characterization and life cycle assessment. Food Chemistry Molecular Sciences. 9. 100213–100213. 6 indexed citations
4.
Singh, Devendra Pratap, et al.. (2024). An unusual activity of mycobacterial MutT1 Nudix hydrolase domain as a protein phosphatase regulates nucleoside diphosphate kinase function. Journal of Bacteriology. 207(1). e0031424–e0031424. 1 indexed citations
5.
Singh, Devendra Pratap, et al.. (2024). IL-33 prevents age-related bone loss and memory impairment by suppression of Th17 response: evidence in a d-galactose–induced aging mouse model. JBMR Plus. 8(10). ziae101–ziae101. 3 indexed citations
6.
Singh, Devendra Pratap, Dinesh C. Dobhal, & Janmejay Pant. (2024). Diagnostic System Based on Deep Learning to Detect Diabetic Retinopathy. Pakistan Journal of Ophthalmology. 40(3). 5 indexed citations
7.
Singh, Devendra Pratap, et al.. (2023). Sequestration of histidine kinases by non-cognate response regulators establishes a threshold level of stimulation for bacterial two-component signaling. Nature Communications. 14(1). 4483–4483. 10 indexed citations
8.
John, Aijaz Ahmad, et al.. (2022). MiR-539-3p impairs osteogenesis by suppressing Wnt interaction with LRP-6 co-receptor and subsequent inhibition of Akap-3 signaling pathway. Frontiers in Endocrinology. 13. 977347–977347. 8 indexed citations
9.
Pant, Himanshu, et al.. (2022). GUI based Thoracic Disease Detection using Segmented Deep Convolutional Neural Network. 1–7. 1 indexed citations
10.
Singh, Krishna Kumar, et al.. (2021). Acetylation of Response Regulator Protein MtrA in M. tuberculosis Regulates Its Repressor Activity. Frontiers in Microbiology. 11. 19 indexed citations
11.
Hariharan, Vignesh, Chandrani Thakur, Albel Singh, et al.. (2021). Cyclic di‐GMP sensing histidine kinase PdtaS controls mycobacterial adaptation to carbon sources. The FASEB Journal. 35(4). e21475–e21475. 15 indexed citations
12.
Chattopadhyay, Krishnendu, Somnath Bhattacharyya, Bishnu Charan Marndi, et al.. (2014). Diversity and validation of microsatellite markers in Saltol QTL region in contrasting rice genotypes for salt tolerance at the early vegetative stage. Australian Journal of Crop Science. 8(3). 356–362. 15 indexed citations
13.
Dabur, Rajesh, Ankur Gupta, T.K. Mandal, et al.. (2008). Antimicrobial Activity Of Some Indian Medicinal Plants. African Journal of Traditional Complementary and Alternative Medicines. 4(3). 313–313. 167 indexed citations
14.
Singh, Devendra Pratap & Namita Singh. (2000). Calcium and Phosphate Regulation of Nitrogen Metabolism in the Cyanobacterium Spirulina platensis Under the High Light Stress. Current Microbiology. 41(5). 368–373. 3 indexed citations
15.
Singh, Devendra Pratap & Namita Singh. (1997). Isolation and characterization of a metronidazole tolerant mutant of the cyanobacterium Spirulina platensis exhibiting multiple stress tolerance. World Journal of Microbiology and Biotechnology. 13(2). 179–183. 13 indexed citations
16.
Singh, Devendra Pratap, et al.. (1995). Temperature-sensitive photosynthesis-deficient mutants of the cyanobacteriumAnabœna variabilis impaired in nitrogen assimilation. Folia Microbiologica. 40(5). 511–515. 1 indexed citations
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18.
19.
Kashyap, A.K. & Devendra Pratap Singh. (1985). Ammonium Transport in Unicellular Cyanobacterium Anacystis nidulans. Journal of Plant Physiology. 121(4). 319–330. 5 indexed citations
20.
Singh, Devendra Pratap. (1985). Cu2+ transport in the unicellular cyanobacterium Anacystis nidulans.. The Journal of General and Applied Microbiology. 31(3). 277–284. 16 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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