Shruti Sahay

1.6k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Shruti Sahay is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Shruti Sahay has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Shruti Sahay's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Alzheimer's disease research and treatments (9 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Shruti Sahay is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Alzheimer's disease research and treatments (9 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Shruti Sahay collaborates with scholars based in India, United States and Saudi Arabia. Shruti Sahay's co-authors include Samir K. Maji, Surabhi Mehra, Pradeep K. Singh, Dhiman Ghosh, Ashutosh Kumar, Narendra Nath Jha, Reeba S. Jacob, Ganesh M. Mohite, Shamik Sen and Roland Riek and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Shruti Sahay

14 papers receiving 1.2k citations

Hit Papers

α-Synuclein misfolding and aggregation: Implications in P... 2019 2026 2021 2023 2019 100 200 300
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.

  1. α-Synuclein misfolding and aggregation: Implications in Parkinson’s disease pathogenesis
    2019 340 citations Surabhi Mehra, Shruti Sahay et al. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shruti Sahay India 12 642 597 491 191 118 14 1.2k
Ganesh M. Mohite India 12 537 0.8× 446 0.7× 331 0.7× 146 0.8× 84 0.7× 15 933
Surabhi Mehra India 14 529 0.8× 358 0.6× 411 0.8× 150 0.8× 126 1.1× 27 1.0k
Jenny Russ Germany 13 541 0.8× 628 1.1× 724 1.5× 236 1.2× 154 1.3× 18 1.6k
Dhiman Ghosh India 18 676 1.1× 645 1.1× 556 1.1× 206 1.1× 98 0.8× 25 1.6k
Marcus Kostka Germany 7 692 1.1× 881 1.5× 523 1.1× 375 2.0× 169 1.4× 7 1.4k
Pierre O. Souillac United States 11 420 0.7× 528 0.9× 640 1.3× 133 0.7× 97 0.8× 12 1.2k
Adrien W. Schmid Switzerland 18 815 1.3× 820 1.4× 835 1.7× 430 2.3× 267 2.3× 26 2.0k
Serene W. Chen United Kingdom 16 1.1k 1.6× 1.1k 1.8× 859 1.7× 336 1.8× 198 1.7× 23 2.0k
Vijayaraghavan Rangachari United States 15 519 0.8× 860 1.4× 770 1.6× 256 1.3× 188 1.6× 35 1.6k
Diana F. Lázaro Germany 19 803 1.3× 474 0.8× 379 0.8× 336 1.8× 154 1.3× 26 1.2k

Countries citing papers authored by Shruti Sahay

Since Specialization
Citations

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

Fields of papers citing papers by Shruti Sahay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Sahay

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

All Works

14 of 14 papers shown
1.
Sangwan, Smriti, Shruti Sahay, Kevin A. Murray, et al.. (2020). Inhibition of synucleinopathic seeding by rationally designed inhibitors. eLife. 9. 56 indexed citations
2.
Griner, Sarah L., Paul M. Seidler, Kevin A. Murray, et al.. (2019). Structure-based inhibitors of amyloid beta core suggest a common interface with tau. eLife. 8. 87 indexed citations
3.
Mehra, Surabhi, Shruti Sahay, & Samir K. Maji. (2019). α-Synuclein misfolding and aggregation: Implications in Parkinson’s disease pathogenesis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(10). 890–908. 340 indexed citations breakdown →
4.
Ghosh, Saikat, Shinjinee Sengupta, Ambuja Navalkar, et al.. (2017). p53 amyloid formation leading to its loss of function: implications in cancer pathogenesis. Cell Death and Differentiation. 24(10). 1784–1798. 103 indexed citations
5.
Jha, Narendra Nath, Rakesh Kumar, Rajlaxmi Panigrahi, et al.. (2017). Comparison of α-Synuclein Fibril Inhibition by Four Different Amyloid Inhibitors. ACS Chemical Neuroscience. 8(12). 2722–2733. 56 indexed citations
6.
Sahay, Shruti, Dhiman Ghosh, Pradeep K. Singh, & Samir K. Maji. (2016). Alteration of Structure and Aggregation of α-Synuclein by Familial Parkinson’s Disease Associated Mutations. Current Protein and Peptide Science. 18(7). 656–676. 34 indexed citations
7.
Ghosh, Dhiman, Surabhi Mehra, Shruti Sahay, Pradeep K. Singh, & Samir K. Maji. (2016). α-synuclein aggregation and its modulation. International Journal of Biological Macromolecules. 100. 37–54. 125 indexed citations
8.
Sahay, Shruti, G. Krishnamoorthy, & Samir K. Maji. (2016). Site-specific structural dynamics ofα-Synuclein revealed by time-resolved fluorescence spectroscopy: a review. Methods and Applications in Fluorescence. 4(4). 42002–42002. 5 indexed citations
9.
Singh, Pradeep K., Dhiman Ghosh, Ganesh M. Mohite, et al.. (2015). Cytotoxic Helix-Rich Oligomer Formation by Melittin and Pancreatic Polypeptide. PLoS ONE. 10(3). e0120346–e0120346. 9 indexed citations
10.
Ghosh, Dhiman, Pradeep K. Singh, Shruti Sahay, et al.. (2015). Structure based aggregation studies reveal the presence of helix-rich intermediate during α-Synuclein aggregation. Scientific Reports. 5(1). 9228–9228. 176 indexed citations
11.
Sahay, Shruti, Dhiman Ghosh, Anoop Arunagiri, et al.. (2015). Familial Parkinson Disease-associated Mutations Alter the Site-specific Microenvironment and Dynamics of α-Synuclein. Journal of Biological Chemistry. 290(12). 7804–7822. 39 indexed citations
12.
Arunagiri, Anoop, Srivastav Ranganathan, Narendra Nath Jha, et al.. (2014). Elucidating the Role of Disulfide Bond on Amyloid Formation and Fibril Reversibility of Somatostatin-14. Journal of Biological Chemistry. 289(24). 16884–16903. 63 indexed citations
13.
Sahay, Shruti, Anoop Arunagiri, G. Krishnamoorthy, & Samir K. Maji. (2014). Site-Specific Fluorescence Dynamics of α-Synuclein Fibrils Using Time-Resolved Fluorescence Studies: Effect of Familial Parkinson’s Disease-Associated Mutations. Biochemistry. 53(5). 807–809. 19 indexed citations
14.
Ghosh, Dhiman, Shruti Sahay, Priyatosh Ranjan, et al.. (2014). The Newly Discovered Parkinson’s Disease Associated Finnish Mutation (A53E) Attenuates α-Synuclein Aggregation and Membrane Binding. Biochemistry. 53(41). 6419–6421. 127 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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