Rashmi K. Ambasta

5.0k total citations · 1 hit paper
69 papers, 3.5k citations indexed

About

Rashmi K. Ambasta is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rashmi K. Ambasta has authored 69 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 16 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rashmi K. Ambasta's work include Ubiquitin and proteasome pathways (10 papers), Autophagy in Disease and Therapy (8 papers) and Mitochondrial Function and Pathology (7 papers). Rashmi K. Ambasta is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Autophagy in Disease and Therapy (8 papers) and Mitochondrial Function and Pathology (7 papers). Rashmi K. Ambasta collaborates with scholars based in India, United States and Germany. Rashmi K. Ambasta's co-authors include Pravir Kumar, Rohan Gupta, Mehar Sahu, Devesh Srivastava, Swati Tiwari, Saurabh Kumar Jha, Niraj Kumar Jha, Ralf P. Brandes, Rudi Busse and Dhiraj Kumar and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Rashmi K. Ambasta

67 papers receiving 3.4k citations

Hit Papers

Artificial intelligence to deep learning: machine intelli... 2021 2026 2022 2024 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashmi K. Ambasta India 32 1.5k 749 517 397 299 69 3.5k
Pravir Kumar India 34 2.0k 1.4× 952 1.3× 481 0.9× 443 1.1× 410 1.4× 118 4.4k
Richard E. Higgs United States 29 1.3k 0.9× 502 0.7× 287 0.6× 424 1.1× 309 1.0× 70 3.0k
Guiyou Liu China 32 1.6k 1.1× 631 0.8× 250 0.5× 149 0.4× 156 0.5× 138 3.2k
Katsuhiro Tanaka Japan 33 2.0k 1.3× 347 0.5× 415 0.8× 188 0.5× 460 1.5× 206 5.1k
Aayush Sehgal India 31 1.0k 0.7× 552 0.7× 206 0.4× 153 0.4× 259 0.9× 118 3.2k
Nina Kaludercic Italy 31 1.6k 1.1× 683 0.9× 223 0.4× 147 0.4× 175 0.6× 47 3.5k
Anguo Wu China 37 2.1k 1.4× 514 0.7× 342 0.7× 121 0.3× 192 0.6× 147 4.1k
Jeong Hyun Lee South Korea 35 1.3k 0.9× 396 0.5× 388 0.8× 121 0.3× 237 0.8× 117 3.6k
Xi Chen China 30 2.1k 1.4× 1.4k 1.9× 492 1.0× 121 0.3× 447 1.5× 150 5.2k
Julen Oyarzábal Spain 35 2.4k 1.6× 394 0.5× 190 0.4× 404 1.0× 319 1.1× 100 4.2k

Countries citing papers authored by Rashmi K. Ambasta

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi K. Ambasta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi K. Ambasta

This figure shows the co-authorship network connecting the top 25 collaborators of Rashmi K. Ambasta. A scholar is included among the top collaborators of Rashmi K. Ambasta 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 Rashmi K. Ambasta. Rashmi K. Ambasta 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.
Ambasta, Rashmi K., et al.. (2025). E2 conjugating enzymes: A silent but crucial player in ubiquitin biology. Ageing Research Reviews. 108. 102740–102740.
2.
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
3.
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
4.
Sahu, Mehar, et al.. (2024). Synergizing drug repurposing and target identification for neurodegenerative diseases. Progress in molecular biology and translational science. 205. 111–169. 1 indexed citations
5.
Chakraborty, Pratik, Abhijit Dey, Abilash Valsala Gopalakrishnan, et al.. (2023). Glutamatergic neurotransmission: A potential pharmacotherapeutic target for the treatment of cognitive disorders. Ageing Research Reviews. 85. 101838–101838. 29 indexed citations
6.
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
7.
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
8.
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
9.
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
10.
Gupta, Rohan, Mehar Sahu, Devesh Srivastava, et al.. (2021). Post-translational modifications: Regulators of neurodegenerative proteinopathies. Ageing Research Reviews. 68. 101336–101336. 84 indexed citations
11.
Kumari, Smita, Dia Advani, Sudhanshu Sharma, Rashmi K. Ambasta, & Pravir Kumar. (2021). Combinatorial therapy in tumor microenvironment: Where do we stand?. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1876(2). 188585–188585. 80 indexed citations
12.
Bhardwaj, Shanu, Kavindra Kumar Kesari, Mahesh Rachamalla, et al.. (2021). CRISPR/Cas9 gene editing: New hope for Alzheimer's disease therapeutics. Journal of Advanced Research. 40. 207–221. 85 indexed citations
13.
Gupta, Rohan, Devesh Srivastava, Mehar Sahu, et al.. (2021). Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Molecular Diversity. 25(3). 1315–1360. 795 indexed citations breakdown →
14.
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
15.
Gupta, Rohan, Rashmi K. Ambasta, & Pravir Kumar. (2020). Histone deacetylase in neuropathology. Advances in clinical chemistry. 104. 151–231. 22 indexed citations
16.
Ambasta, Rashmi K.. (2016). Molecular Chaperones and Ubiquitin Proteasome System in Tumor Biogenesis: An Overview. 3(1). 1–12. 2 indexed citations
17.
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.
Ambasta, Rashmi K., Xingbin Ai, & Charles P. Emerson. (2007). Quail Sulf1 Function Requires Asparagine-linked Glycosylation. Journal of Biological Chemistry. 282(47). 34492–34499. 27 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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