Ipsita Roy

5.3k total citations · 1 hit paper
144 papers, 4.1k citations indexed

About

Ipsita Roy is a scholar working on Molecular Biology, Biotechnology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ipsita Roy has authored 144 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 27 papers in Biotechnology and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ipsita Roy's work include Enzyme Catalysis and Immobilization (26 papers), Enzyme Production and Characterization (23 papers) and Protein purification and stability (22 papers). Ipsita Roy is often cited by papers focused on Enzyme Catalysis and Immobilization (26 papers), Enzyme Production and Characterization (23 papers) and Protein purification and stability (22 papers). Ipsita Roy collaborates with scholars based in India, United States and Germany. Ipsita Roy's co-authors include Munishwar Nath Gupta, Nishant Kumar Jain, Sunil Kumar Khare, A.K. Gupta, R. K. Malik, Meryam Sardar, Gurjot Kaur, Kalyani Mondal, Aparna Sharma and Shweta Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Ipsita Roy

136 papers receiving 4.0k citations

Hit Papers

Effect of trehalose on protein structure 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ipsita Roy India 32 2.5k 720 642 422 391 144 4.1k
Allan Svendsen Denmark 38 3.0k 1.2× 564 0.8× 538 0.8× 392 0.9× 357 0.9× 124 4.0k
Yan Feng China 40 3.5k 1.4× 779 1.1× 1.1k 1.7× 345 0.8× 671 1.7× 197 5.6k
Hossein Naderi‐Manesh Iran 37 2.5k 1.0× 517 0.7× 1.1k 1.7× 401 1.0× 846 2.2× 222 4.5k
Uwe Linne Germany 44 3.8k 1.5× 409 0.6× 499 0.8× 624 1.5× 447 1.1× 126 5.9k
Jakob R. Winther Denmark 39 3.3k 1.3× 334 0.5× 239 0.4× 294 0.7× 478 1.2× 103 4.9k
Li Zhou China 36 1.8k 0.7× 389 0.5× 618 1.0× 191 0.5× 793 2.0× 111 3.4k
Marjeta Šentjurc Slovenia 33 1.2k 0.5× 402 0.6× 498 0.8× 214 0.5× 308 0.8× 126 3.2k
Manuel Fuentes Spain 38 4.0k 1.6× 601 0.8× 1.0k 1.6× 202 0.5× 428 1.1× 146 5.1k
Peter Gemeiner Slovakia 34 2.4k 1.0× 253 0.4× 1.1k 1.6× 344 0.8× 233 0.6× 197 4.5k
Ji‐Sook Hahn South Korea 34 2.3k 0.9× 240 0.3× 855 1.3× 301 0.7× 267 0.7× 92 3.2k

Countries citing papers authored by Ipsita Roy

Since Specialization
Citations

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

Fields of papers citing papers by Ipsita Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ipsita Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Ipsita Roy. A scholar is included among the top collaborators of Ipsita Roy 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 Ipsita Roy. Ipsita Roy 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.
Roy, Ipsita, et al.. (2025). Exploring the diagnostic landscape: Portable aptasensors in point-of-care testing. Analytical Biochemistry. 700. 115788–115788. 2 indexed citations
2.
3.
Roy, Ipsita, et al.. (2025). Pharmacological Regulation of Heat Shock Response via Aptamer–Antidote Couple. ACS Chemical Neuroscience. 16(11). 2024–2034.
4.
Bharatam, Prasad V., et al.. (2025). M14 substitutions in exanatide modulate alpha‐synuclein aggregation. FEBS Journal. 293(5). 1415–1432.
5.
Roy, Ipsita. (2024). Understanding technology transfer effectiveness in emerging economies: policy lessons for India. Journal of Science and Technology Policy Management.
6.
Roy, Ipsita, et al.. (2024). Immunotherapy: An emerging treatment option for neurodegenerative diseases. Drug Discovery Today. 29(5). 103974–103974. 12 indexed citations
7.
Roy, Ipsita, et al.. (2023). Meclofenoxate Inhibits Aggregation of Alpha-synuclein in vitro. Protein and Peptide Letters. 30(5). 361–366. 2 indexed citations
8.
Roy, Ipsita, et al.. (2023). The functional role of Ire1 in regulating autophagy and proteasomal degradation under prolonged proteotoxic stress. FEBS Journal. 290(12). 3270–3289. 2 indexed citations
9.
Roy, Ipsita, et al.. (2023). Aptamer Reduces Aggregation of Mutant Huntingtin and Rescues Proteostasis Network in Non-Neuronal and Neuronal Cells. ACS Chemical Neuroscience. 14(12). 2385–2395. 5 indexed citations
10.
Vaidya, Bhupesh, Ipsita Roy, & Shyam Sunder Sharma. (2022). Neuroprotective Potential of HC070, a Potent TRPC5 Channel Inhibitor in Parkinson′s Disease Models: A Behavioral and Mechanistic Study. ACS Chemical Neuroscience. 13(18). 2728–2742. 19 indexed citations
11.
Singh, Kuljit, et al.. (2022). The role of the glycerol transporter channel Fps1p in cellular proteostasis during enhanced proteotoxic stress. Applied Microbiology and Biotechnology. 106(18). 6169–6180. 3 indexed citations
12.
Roy, Ipsita, et al.. (2021). Analytical and biosensing platforms for insulin: A review. Sensors and Actuators Reports. 3. 100028–100028. 31 indexed citations
13.
Jain, Swati, et al.. (2021). Lysine245 plays a crucial role in stability and function of glycerol 3‐phosphate dehydrogenase (Gpd1) in Saccharomyces cerevisiae. Journal of Cellular Biochemistry. 122(11). 1726–1736. 4 indexed citations
14.
Roy, Ipsita, et al.. (2020). Oligomers, fibrils and aggregates formed by alpha-synuclein: role of solution conditions. Journal of Biomolecular Structure and Dynamics. 40(10). 4389–4398. 5 indexed citations
15.
Gupta, Munishwar Nath & Ipsita Roy. (2020). Drugs, host proteins and viral proteins: how their promiscuities shape antiviral design. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 96(1). 205–222. 7 indexed citations
16.
Jain, Swati, et al.. (2020). Nucleic acid therapeutics: a focus on the development of aptamers. Expert Opinion on Drug Discovery. 16(3). 255–274. 23 indexed citations
17.
Gupta, Munishwar Nath & Ipsita Roy. (2020). How Corona Formation Impacts Nanomaterials as Drug Carriers. Molecular Pharmaceutics. 17(3). 725–737. 45 indexed citations
18.
Roy, Ipsita, et al.. (2020). Stabilization of elongated polyglutamine tracts by a helical peptide derived from N‐terminal huntingtin. IUBMB Life. 72(7). 1528–1536. 2 indexed citations
19.
Singh, Virender, Raj Kumar Sharma, Abhayraj S. Joshi, et al.. (2019). Discovery of Arginine Ethyl Ester as Polyglutamine Aggregation Inhibitor: Conformational Transitioning of Huntingtin N-Terminus Augments Aggregation Suppression. ACS Chemical Neuroscience. 10(9). 3969–3985. 16 indexed citations
20.
Roy, Ipsita, et al.. (2018). Discrete roles of trehalose and Hsp104 in inhibition of protein aggregation in yeast cells. FEMS Yeast Research. 18(6). 6 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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