Shashi Shekhar Singh

776 total citations · 1 hit paper
21 papers, 558 citations indexed

About

Shashi Shekhar Singh is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Shashi Shekhar Singh has authored 21 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Physiology. Recurrent topics in Shashi Shekhar Singh's work include Parasitic Infections and Diagnostics (4 papers), Adipose Tissue and Metabolism (4 papers) and RNA modifications and cancer (4 papers). Shashi Shekhar Singh is often cited by papers focused on Parasitic Infections and Diagnostics (4 papers), Adipose Tissue and Metabolism (4 papers) and RNA modifications and cancer (4 papers). Shashi Shekhar Singh collaborates with scholars based in India, United States and Netherlands. Shashi Shekhar Singh's co-authors include Richa Shrivastava, Nidhi Shukla, Sapana Kushwaha, Shreya Das, Madan Kumar, Indu Shekhar Thakur, Raj Morya, Sujatha Sunil, Anil Sharma and Raj K. Bhatnagar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physiology.

In The Last Decade

Shashi Shekhar Singh

20 papers receiving 548 citations

Hit Papers

Mechanism of interaction between autophagy and apoptosis ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shashi Shekhar Singh India 13 196 111 109 93 80 21 558
Tarun Keswani India 14 165 0.8× 117 1.1× 32 0.3× 56 0.6× 43 0.5× 33 672
Yuanyuan Dong China 14 263 1.3× 29 0.3× 60 0.6× 116 1.2× 44 0.6× 43 591
Sung Ho Yun South Korea 15 240 1.2× 54 0.5× 32 0.3× 113 1.2× 24 0.3× 53 586
Xiaotong Chen China 17 296 1.5× 19 0.2× 114 1.0× 100 1.1× 31 0.4× 78 824
Lian Lu China 17 409 2.1× 23 0.2× 54 0.5× 74 0.8× 90 1.1× 25 767
Xiaoli Zhu China 18 487 2.5× 67 0.6× 183 1.7× 88 0.9× 32 0.4× 74 1.0k
J Novotná Czechia 17 318 1.6× 29 0.3× 36 0.3× 114 1.2× 103 1.3× 62 818
Cynthia Shackelford United States 7 137 0.7× 36 0.3× 35 0.3× 66 0.7× 39 0.5× 11 516
Prasanta Kumar Maiti India 16 159 0.8× 77 0.7× 102 0.9× 52 0.6× 18 0.2× 43 756

Countries citing papers authored by Shashi Shekhar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Shashi Shekhar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashi Shekhar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Shashi Shekhar Singh. A scholar is included among the top collaborators of Shashi Shekhar 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 Shashi Shekhar Singh. Shashi Shekhar 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.
Mishra, Saurabh, Nicole Welch, Shashi Shekhar Singh, et al.. (2024). Ammonia transporter RhBG initiates downstream signaling and functional responses by activating NFκB. Proceedings of the National Academy of Sciences. 121(31). e2314760121–e2314760121. 1 indexed citations
3.
Mishra, Saurabh, Nicole Welch, Annette Bellar, et al.. (2023). Dysregulated cellular redox status during hyperammonemia causes mitochondrial dysfunction and senescence by inhibiting sirtuin‐mediated deacetylation. Aging Cell. 22(7). e13852–e13852. 20 indexed citations
4.
Welch, Nicole, Shashi Shekhar Singh, M. Shahid Mansuri, et al.. (2022). Shared and unique phosphoproteomics responses in skeletal muscle from exercise models and in hyperammonemic myotubes. iScience. 25(11). 105325–105325. 4 indexed citations
5.
Singh, Shashi Shekhar, et al.. (2022). Transcriptomic analysis of ribosome biogenesis and pre-rRNA processing during growth stress in Entamoeba histolytica. Experimental Parasitology. 239. 108308–108308. 3 indexed citations
6.
Attaway, Amy, Annette Bellar, Saurabh Mishra, et al.. (2022). Adaptive exhaustion during prolonged intermittent hypoxia causes dysregulated skeletal muscle protein homeostasis. The Journal of Physiology. 601(3). 567–606. 21 indexed citations
7.
Kumar, Avinash, Nicole Welch, Saurabh Mishra, et al.. (2021). Metabolic reprogramming during hyperammonemia targets mitochondrial function and postmitotic senescence. JCI Insight. 6(24). 24 indexed citations
8.
Das, Shreya, Nidhi Shukla, Shashi Shekhar Singh, Sapana Kushwaha, & Richa Shrivastava. (2021). Mechanism of interaction between autophagy and apoptosis in cancer. APOPTOSIS. 26(9-10). 512–533. 176 indexed citations breakdown →
9.
Singh, Shashi Shekhar, Avinash Kumar, Nicole Welch, et al.. (2021). Multiomics-Identified Intervention to Restore Ethanol-Induced Dysregulated Proteostasis and Secondary Sarcopenia in Alcoholic Liver Disease. Cellular Physiology and Biochemistry. 55(1). 91–116. 31 indexed citations
10.
Welch, Nicole, Shashi Shekhar Singh, Avinash Kumar, et al.. (2021). Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes. Journal of Biological Chemistry. 297(3). 101023–101023. 14 indexed citations
12.
Morya, Raj, et al.. (2020). Polyhydroxyalkanoate synthesis and characterization: A proteogenomic and process optimization study for biovalorization of industrial lignin. Bioresource Technology. 320(Pt B). 124439–124439. 29 indexed citations
13.
Morya, Raj, Madan Kumar, Shashi Shekhar Singh, & Indu Shekhar Thakur. (2019). Genomic analysis of Burkholderia sp. ISTR5 for biofunneling of lignin-derived compounds. Biotechnology for Biofuels. 12(1). 277–277. 54 indexed citations
15.
Kumar, Madan, Arti Mishra, Shashi Shekhar Singh, Shaili Srivastava, & Indu Shekhar Thakur. (2018). Expression and characterization of novel laccase gene from Pandoraea sp. ISTKB and its application. International Journal of Biological Macromolecules. 115. 308–316. 28 indexed citations
16.
Singh, Shashi Shekhar, et al.. (2018). Stress-induced nuclear depletion of Entamoeba histolytica 3′-5′ exoribonuclease EhRrp6 and its role in growth and erythrophagocytosis. Journal of Biological Chemistry. 293(42). 16242–16260. 12 indexed citations
17.
Jain, Jaspreet, Raja Babu Singh Kushwah, Shashi Shekhar Singh, et al.. (2016). Evidence for natural vertical transmission of chikungunya viruses in field populations of Aedes aegypti in Delhi and Haryana states in India—a preliminary report. Acta Tropica. 162. 46–55. 35 indexed citations
18.
Shrinet, Jatin, Shanu Jain, Anil Sharma, et al.. (2012). Genetic characterization of Chikungunya virus from New Delhi reveal emergence of a new molecular signature in Indian isolates. Virology Journal. 9(1). 100–100. 78 indexed citations
19.
Singh, Shashi Shekhar, et al.. (2006). WaterFrac Application in Injectors Improves Waterflooding - An InnovativeApproach. 2 indexed citations
20.
Singh, Shashi Shekhar. (1989). UNCERTAINTIES IN THE ESTIMATION OF FLUID LOADING ON OFFSHORE STRUCTURES WITH SPECIAL EMPHASIS ON WIND FORCES. 101. 3 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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