Shraddha Parate

473 total citations
28 papers, 361 citations indexed

About

Shraddha Parate is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Shraddha Parate has authored 28 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 10 papers in Organic Chemistry. Recurrent topics in Shraddha Parate's work include Computational Drug Discovery Methods (18 papers), Enzyme function and inhibition (7 papers) and Synthesis and biological activity (6 papers). Shraddha Parate is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Enzyme function and inhibition (7 papers) and Synthesis and biological activity (6 papers). Shraddha Parate collaborates with scholars based in South Korea, India and Sweden. Shraddha Parate's co-authors include Keun Woo Lee, Vikas Kumar, Gihwan Lee, Shailima Rampogu, Jong Chan Hong, Minky Son, Chanin Park, Ayoung Baek, Amir Zeb and Raj Kumar and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Biophysical Journal and International Journal of Molecular Sciences.

In The Last Decade

Shraddha Parate

27 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shraddha Parate South Korea	13	229	137	79	45	35	28	361
Donatella Callegari Italy	11	182 0.8×	74 0.5×	57 0.7×	59 1.3×	30 0.9×	15	347
Ji-Xia Ren China	10	235 1.0×	192 1.4×	136 1.7×	61 1.4×	33 0.9×	21	451
John Strelow United States	7	247 1.1×	84 0.6×	129 1.6×	65 1.4×	21 0.6×	9	365
Kejiang Lin China	13	263 1.1×	115 0.8×	65 0.8×	71 1.6×	18 0.5×	33	463
Lei Du‐Cuny United States	12	333 1.5×	115 0.8×	85 1.1×	51 1.1×	32 0.9×	14	467
Megan Egbert United States	8	254 1.1×	130 0.9×	35 0.4×	30 0.7×	27 0.8×	11	364
Zhenting Gao China	7	360 1.6×	164 1.2×	68 0.9×	48 1.1×	47 1.3×	11	534
Selvaraman Nagamani India	13	195 0.9×	177 1.3×	63 0.8×	35 0.8×	50 1.4×	44	380
Fredrik Edfeldt Sweden	10	304 1.3×	120 0.9×	82 1.0×	28 0.6×	31 0.9×	14	386
Mihiret T. Sisay Germany	9	214 0.9×	118 0.9×	83 1.1×	53 1.2×	44 1.3×	12	365

Countries citing papers authored by Shraddha Parate

Since Specialization

Citations

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

Fields of papers citing papers by Shraddha Parate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shraddha Parate

This figure shows the co-authorship network connecting the top 25 collaborators of Shraddha Parate. A scholar is included among the top collaborators of Shraddha Parate 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 Shraddha Parate. Shraddha Parate 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

Parate, Shraddha, et al.. (2025). In silico identification of substrate-binding sites in type-1A α-synuclein amyloids. Biophysical Journal. 124(15). 2418–2427.

Kumar, Vikas, Shraddha Parate, Hyeon-Su Ro, Tae Sung Jung, & Keun Woo Lee. (2024). Modeling of FAK-PROTAC candidates from GSK2256098 analogs for targeted protein degradation. Biochemical and Biophysical Research Communications. 740. 151001–151001. 1 indexed citations

Kumar, Vikas, Pooja Singh, Shraddha Parate, et al.. (2024). Computational insights into allosteric inhibition of focal adhesion kinase: A combined pharmacophore modeling and molecular dynamics approach. Journal of Molecular Graphics and Modelling. 130. 108789–108789. 3 indexed citations

Kumar, Vikas, Raj Kumar, Shraddha Parate, et al.. (2023). Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches. Biomolecules. 13(2). 217–217. 7 indexed citations

Parate, Shraddha, Vikas Kumar, Jong Chan Hong, & Keun Woo Lee. (2023). Investigation of Macrocyclic mTOR Modulators of Rapamycin Binding Site via Pharmacoinformatics Approaches. Computational Biology and Chemistry. 104. 107875–107875. 1 indexed citations

Kulkarni, Apoorva, Shraddha Parate, Gihwan Lee, et al.. (2022). Computational Simulations Highlight the IL2Rα Binding Potential of Polyphenol Stilbenes from Fenugreek. Molecules. 27(4). 1215–1215. 6 indexed citations

Kumar, Vikas, Shraddha Parate, Amir Zeb, et al.. (2022). 3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Dynamics Simulations for the Identification of Spleen Tyrosine Kinase Inhibitors. Frontiers in Cellular and Infection Microbiology. 12. 909111–909111. 17 indexed citations

Parate, Shraddha, Vikas Kumar, Jong Chan Hong, & Keun Woo Lee. (2022). Investigating natural compounds against oncogenic RET tyrosine kinase using pharmacoinformatic approaches for cancer therapeutics. RSC Advances. 12(2). 1194–1207. 12 indexed citations

Kumar, Vikas, Shraddha Parate, Gihwan Lee, et al.. (2021). Identification of CDK7 Inhibitors from Natural Sources Using Pharmacoinformatics and Molecular Dynamics Simulations. Biomedicines. 9(9). 1197–1197. 20 indexed citations

10.

Parate, Shraddha, Vikas Kumar, Jong Chan Hong, & Keun Woo Lee. (2021). Identification of Flavonoids as Putative ROS-1 Kinase Inhibitors Using Pharmacophore Modeling for NSCLC Therapeutics. Molecules. 26(8). 2114–2114. 7 indexed citations

11.

Peele, K. Abraham, Vikas Kumar, Shraddha Parate, et al.. (2021). Insilico drug repurposing using FDA approved drugs against Membrane protein of SARS-CoV-2. Journal of Pharmaceutical Sciences. 110(6). 2346–2354. 13 indexed citations

12.

Kumar, Vikas, Raj Kumar, Shraddha Parate, et al.. (2021). Identification of ACK1 inhibitors as anticancer agents by using computer-aided drug designing. Journal of Molecular Structure. 1235. 130200–130200. 24 indexed citations

13.

Parate, Shraddha, Shailima Rampogu, Gihwan Lee, Jong Chan Hong, & Keun Woo Lee. (2021). Exploring the Binding Interaction of Raf Kinase Inhibitory Protein With the N-Terminal of C-Raf Through Molecular Docking and Molecular Dynamics Simulation. Frontiers in Molecular Biosciences. 8. 655035–655035. 13 indexed citations

14.

Kumar, Vikas, et al.. (2021). Computational Simulations Identified Marine-Derived Natural Bioactive Compounds as Replication Inhibitors of SARS-CoV-2. Frontiers in Microbiology. 12. 647295–647295. 28 indexed citations

15.

Parate, Shraddha, et al.. (2021). Computational Investigation Identified Potential Chemical Scaffolds for Heparanase as Anticancer Therapeutics. International Journal of Molecular Sciences. 22(10). 5311–5311. 12 indexed citations

16.

Zeb, Amir, Dong Hwan Kim, Sayed Ibrar Alam, et al.. (2019). Computational Simulations Identify Pyrrolidine-2,3-Dione Derivatives as Novel Inhibitors of Cdk5/p25 Complex to Attenuate Alzheimer’s Pathology. Journal of Clinical Medicine. 8(5). 746–746. 11 indexed citations

17.

Rampogu, Shailima, Chanin Park, Minky Son, et al.. (2019). Pharmacotherapeutics and Molecular Mechanism of Phytochemicals in Alleviating Hormone-Responsive Breast Cancer. Oxidative Medicine and Cellular Longevity. 2019. 1–14. 17 indexed citations

18.

Rampogu, Shailima, Ayoung Baek, Chanin Park, et al.. (2019). Discovery of Small Molecules That Target Vascular Endothelial Growth Factor Receptor-2 Signalling Pathway Employing Molecular Modelling Studies. Cells. 8(3). 269–269. 18 indexed citations

19.

Rampogu, Shailima, Shraddha Parate, Parameswaran Saravanan, et al.. (2019). Natural compounds as potential Hsp90 inhibitors for breast cancer-Pharmacophore guided molecular modelling studies. Computational Biology and Chemistry. 83. 107113–107113. 28 indexed citations

20.

Kumar, Raj, Parameswaran Saravanan, Rohit Bavi, et al.. (2018). Investigation of novel chemical scaffolds targeting prolyl oligopeptidase for neurological therapeutics. Journal of Molecular Graphics and Modelling. 88. 92–103. 11 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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