Pravir Kumar

6.3k total citations · 1 hit paper
118 papers, 4.4k citations indexed

About

Pravir Kumar is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pravir Kumar has authored 118 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 23 papers in Physiology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pravir Kumar's work include Ubiquitin and proteasome pathways (18 papers), Computational Drug Discovery Methods (14 papers) and Alzheimer's disease research and treatments (14 papers). Pravir Kumar is often cited by papers focused on Ubiquitin and proteasome pathways (18 papers), Computational Drug Discovery Methods (14 papers) and Alzheimer's disease research and treatments (14 papers). Pravir Kumar collaborates with scholars based in India, United States and Germany. Pravir Kumar's co-authors include Rashmi K. Ambasta, Rohan Gupta, Mehar Sahu, Devesh Srivastava, Swati Tiwari, Niraj Kumar Jha, Saurabh Kumar Jha, Dhiraj Kumar, Henry Querfurth and Kenneth M. Rosen and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and Brain Research.

In The Last Decade

Pravir Kumar

114 papers receiving 4.3k 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.

Artificial intelligence to deep learning: machine intelligence approach for drug discovery

2021 795 citations Rohan Gupta, Mehar Sahu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pravir Kumar India	34	2.0k	952	481	443	410	118	4.4k
Rashmi K. Ambasta India	32	1.5k 0.7×	749 0.8×	517 1.1×	397 0.9×	299 0.7×	69	3.5k
Kiran Kalia India	40	2.5k 1.2×	456 0.5×	406 0.8×	424 1.0×	293 0.7×	136	6.6k
Saurabh Kumar Jha India	38	2.7k 1.4×	1.1k 1.1×	386 0.8×	124 0.3×	289 0.7×	214	7.0k
Richard E. Higgs United States	29	1.3k 0.6×	502 0.5×	287 0.6×	424 1.0×	309 0.8×	70	3.0k
Junguk Hur United States	37	2.6k 1.3×	994 1.0×	299 0.6×	231 0.5×	485 1.2×	141	5.1k
Dongfeng Chen China	43	3.3k 1.6×	825 0.9×	367 0.8×	147 0.3×	866 2.1×	266	7.1k
Xi Chen China	30	2.1k 1.0×	1.4k 1.5×	492 1.0×	121 0.3×	447 1.1×	150	5.2k
Lina Chen China	39	3.2k 1.6×	646 0.7×	870 1.8×	122 0.3×	459 1.1×	268	6.2k
Dawei Zhang China	41	3.1k 1.5×	863 0.9×	987 2.1×	251 0.6×	509 1.2×	202	7.4k
Anguo Wu China	37	2.1k 1.1×	514 0.5×	342 0.7×	121 0.3×	192 0.5×	147	4.1k

Countries citing papers authored by Pravir Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Pravir Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pravir Kumar

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

All Works

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20 of 20 papers shown

Ali, Nemat, et al.. (2025). Donepezil Improves PSD95 Expression, Mitigates Neuroinflammation via PI3K /Akt/ NF ‐ κB and Mitochondrial Dysfunction in a Rodent Model of Subarachnoid Haemorrhage. Journal of Neurochemistry. 169(4). e70063–e70063.

Ambasta, Rashmi K., et al.. (2025). E2 conjugating enzymes: A silent but crucial player in ubiquitin biology. Ageing Research Reviews. 108. 102740–102740.

Kumar, Pravir, et al.. (2024). Sustainable biotransformation of lignocellulosic biomass to microbial enzymes: An overview and update. Industrial Crops and Products. 222. 119432–119432. 11 indexed citations

Ambasta, Rashmi K., et al.. (2024). Deciphering the microbial map and its implications in the therapeutics of neurodegenerative disorder. Ageing Research Reviews. 100. 102466–102466. 4 indexed citations

Advani, Dia & Pravir Kumar. (2024). Uncovering Cell Cycle Dysregulations and Associated Mechanisms in Cancer and Neurodegenerative Disorders: A Glimpse of Hope for Repurposed Drugs. Molecular Neurobiology. 61(11). 8600–8630. 7 indexed citations

Ambasta, Rashmi K., et al.. (2024). Ubiquitin E3 ligases assisted technologies in protein degradation: Sharing pathways in neurodegenerative disorders and cancer. Ageing Research Reviews. 96. 102279–102279. 9 indexed citations

Sahu, Mehar, Rohan Gupta, Rashmi K. Ambasta, & Pravir Kumar. (2024). IoT-driven augmented reality and virtual reality systems in neurological sciences. Internet of Things. 25. 101098–101098. 8 indexed citations

Kumar, Pravir, et al.. (2023). Potential of waste stream in conversion into sustainable metabolites: An overview and update. Bioresource Technology Reports. 22. 101502–101502. 3 indexed citations

Kumari, Smita & Pravir Kumar. (2023). Identification and characterization of putative biomarkers and therapeutic axis in Glioblastoma multiforme microenvironment. Frontiers in Cell and Developmental Biology. 11. 1236271–1236271. 6 indexed citations

10.

Kumari, Smita, Rohan Gupta, Rashmi K. Ambasta, & Pravir Kumar. (2023). Multiple therapeutic approaches of glioblastoma multiforme: From terminal to therapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(4). 188913–188913. 27 indexed citations

11.

Gupta, Rohan, Dia Advani, Divya Yadav, Rashmi K. Ambasta, & Pravir Kumar. (2023). Dissecting the Relationship Between Neuropsychiatric and Neurodegenerative Disorders. Molecular Neurobiology. 60(11). 6476–6529. 32 indexed citations

12.

Gupta, Rohan, Kumari Smita, Rahul Tripathi, Rashmi K. Ambasta, & Pravir Kumar. (2023). Unwinding the modalities of necrosome activation and necroptosis machinery in neurological diseases. Ageing Research Reviews. 86. 101855–101855. 16 indexed citations

13.

Sharma, Sudhanshu & Pravir Kumar. (2023). Decoding the Role of MDM2 as a Potential Ubiquitin E3 Ligase and Identifying the Therapeutic Efficiency of Alkaloids against MDM2 in Combating Glioblastoma. ACS Omega. 8(5). 5072–5087. 7 indexed citations

14.

Kumar, Pravir, et al.. (2023). Potato Peel Waste as an Economic Feedstock for PHA Production by Bacillus circulans. Applied Biochemistry and Biotechnology. 196(5). 2451–2465. 10 indexed citations

15.

Gupta, Rohan, Mehar Sahu, Rahul Tripathi, Rashmi K. Ambasta, & Pravir Kumar. (2022). Protein S-sulfhydration: Unraveling the prospective of hydrogen sulfide in the brain, vasculature and neurological manifestations. Ageing Research Reviews. 76. 101579–101579. 49 indexed citations

16.

Kumari, Smita, et al.. (2021). Unboxing the molecular modalities of mutagens in cancer. Environmental Science and Pollution Research. 29(41). 62111–62159. 34 indexed citations

17.

Kumar, Dhiraj, Rashmi K. Ambasta, & Pravir Kumar. (2020). Ubiquitin biology in neurodegenerative disorders: From impairment to therapeutic strategies. Ageing Research Reviews. 61. 101078–101078. 33 indexed citations

18.

Sarkar, Amrita, et al.. (2013). Sesamol and naringenin reverse the effect of rotenone-induced PD rat model. Neuroscience. 254. 379–394. 63 indexed citations

19.

Kumar, Pravir, et al.. (2011). Cross‐functional E3 ligases Parkin and C‐terminus Hsp70‐interacting protein in neurodegenerative disorders. Journal of Neurochemistry. 120(3). 350–370. 51 indexed citations

20.

Kumar, Pravir, Rashmi K. Ambasta, Kenneth M. Rosen, et al.. (2007). CHIP and HSPs interact with β-APP in a proteasome-dependent manner and influence Aβ metabolism. Human Molecular Genetics. 16(7). 848–864. 129 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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