Surabhi Mehra

2.3k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Surabhi Mehra is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Surabhi Mehra has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 13 papers in Physiology and 8 papers in Molecular Biology. Recurrent topics in Surabhi Mehra's work include Parkinson's Disease Mechanisms and Treatments (20 papers), Alzheimer's disease research and treatments (13 papers) and Prion Diseases and Protein Misfolding (6 papers). Surabhi Mehra is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (20 papers), Alzheimer's disease research and treatments (13 papers) and Prion Diseases and Protein Misfolding (6 papers). Surabhi Mehra collaborates with scholars based in India, Canada and United States. Surabhi Mehra's co-authors include Samir K. Maji, Shruti Sahay, Dhiman Ghosh, Rakesh Kumar, Pradeep K. Singh, Laxmikant Gadhe, Ganesh M. Mohite, Subhadeep Das, Ambuja Navalkar and Narendra Nath Jha and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Surabhi Mehra

24 papers receiving 1.0k citations

Hit Papers

α-Synuclein misfolding an... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Surabhi Mehra India 14 529 411 358 150 126 27 1.0k
Ganesh M. Mohite India 12 537 1.0× 331 0.8× 446 1.2× 146 1.0× 84 0.7× 15 933
Shruti Sahay India 12 642 1.2× 491 1.2× 597 1.7× 191 1.3× 118 0.9× 14 1.2k
Minee L. Choi United Kingdom 11 349 0.7× 380 0.9× 356 1.0× 205 1.4× 195 1.5× 15 960
Byung Chul Jung South Korea 13 475 0.9× 297 0.7× 366 1.0× 146 1.0× 155 1.2× 41 864
Diana F. Lázaro Germany 19 803 1.5× 379 0.9× 474 1.3× 336 2.2× 154 1.2× 26 1.2k
Abhisek Mukherjee United States 14 495 0.9× 683 1.7× 514 1.4× 208 1.4× 264 2.1× 25 1.4k
Daniel F. Tardiff United States 17 284 0.5× 741 1.8× 244 0.7× 187 1.2× 68 0.5× 20 1.1k
Jenny Russ Germany 13 541 1.0× 724 1.8× 628 1.8× 236 1.6× 154 1.2× 18 1.6k
Chi‐Jing Choong Japan 17 356 0.7× 352 0.9× 204 0.6× 166 1.1× 108 0.9× 25 816
Katarzyna Marta Zoltowska United States 17 272 0.5× 982 2.4× 556 1.6× 172 1.1× 126 1.0× 22 1.6k

Countries citing papers authored by Surabhi Mehra

Since Specialization
Citations

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

Fields of papers citing papers by Surabhi Mehra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surabhi Mehra

This figure shows the co-authorship network connecting the top 25 collaborators of Surabhi Mehra. A scholar is included among the top collaborators of Surabhi Mehra 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 Surabhi Mehra. Surabhi Mehra 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.
Mehra, Surabhi, Shuqiong Niu, Wen Luo, et al.. (2025). α-Synuclein purification significantly impacts seed amplification assay performance and consistency. Acta Neuropathologica Communications. 13(1). 225–225.
2.
Arshad, Hamza, Surabhi Mehra, Declan Williams, et al.. (2025). The brain interactome of a permissive prion replication substrate. Neurobiology of Disease. 206. 106802–106802. 2 indexed citations
3.
Mehra, Surabhi, et al.. (2024). Solid-state NMR assignment of α-synuclein polymorph prepared from helical intermediate. Biomolecular NMR Assignments. 18(2). 193–200.
4.
Walsh, Daniel J., Judy R. Rees, Surabhi Mehra, et al.. (2024). Anti-prion drugs do not improve survival in novel knock-in models of inherited prion disease. PLoS Pathogens. 20(4). e1012087–e1012087. 4 indexed citations
5.
Mehra, Surabhi, Erica Stuart, Hamza Arshad, et al.. (2024). Convergent generation of atypical prions in knockin mouse models of genetic prion disease. Journal of Clinical Investigation. 134(15). 7 indexed citations
6.
Arshad, Hamza, et al.. (2024). The molecular determinants of a universal prion acceptor. PLoS Pathogens. 20(9). e1012538–e1012538. 4 indexed citations
7.
Lau, Heather H. C., Iván Martínez-Valbuena, Raphaella W. L. So, et al.. (2023). The G51D SNCA mutation generates a slowly progressive α-synuclein strain in early-onset Parkinson’s disease. Acta Neuropathologica Communications. 11(1). 72–72. 15 indexed citations
8.
Mahato, Jaladhar, Rajat Mukherjee, Surabhi Mehra, et al.. (2023). Sensitized Emission Imaging Allows Nanoscale Surface Polarity Mapping of α-Synuclein Amyloid Fibrils. ACS Chemical Neuroscience. 15(1). 108–118. 1 indexed citations
9.
Sakunthala, Arunima, Debalina Datta, Ambuja Navalkar, et al.. (2022). Direct Demonstration of Seed Size-Dependent α-Synuclein Amyloid Amplification. The Journal of Physical Chemistry Letters. 13(28). 6427–6438. 12 indexed citations
10.
Mehra, Surabhi, Harish Kumar, Debalina Datta, et al.. (2022). α-Synuclein Aggregation Intermediates form Fibril Polymorphs with Distinct Prion-like Properties. Journal of Molecular Biology. 434(19). 167761–167761. 13 indexed citations
11.
Mehra, Surabhi, et al.. (2021). Structural and Functional Insights into α-Synuclein Fibril Polymorphism. Biomolecules. 11(10). 1419–1419. 58 indexed citations
12.
Mehra, Surabhi, Ajay Singh Sawner, Rajlaxmi Panigrahi, et al.. (2020). Effect of Disease-Associated P123H and V70M Mutations on β-Synuclein Fibrillation. ACS Chemical Neuroscience. 11(18). 2836–2848. 14 indexed citations
13.
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 →
14.
Mehra, Surabhi, Dhiman Ghosh, Rakesh Kumar, et al.. (2018). Glycosaminoglycans have variable effects on α-synuclein aggregation and differentially affect the activities of the resulting amyloid fibrils. Journal of Biological Chemistry. 293(34). 12975–12991. 58 indexed citations
15.
Bhattacharyya, Dipita, Rakesh Kumar, Surabhi Mehra, et al.. (2018). Multitude NMR studies of α-synuclein familial mutants: probing their differential aggregation propensities. Chemical Communications. 54(29). 3605–3608. 32 indexed citations
16.
Kumar, Rakesh, Subhadeep Das, Ganesh M. Mohite, et al.. (2018). Cytotoxic Oligomers and Fibrils Trapped in a Gel‐like State of α‐Synuclein Assemblies. Angewandte Chemie International Edition. 57(19). 5262–5266. 35 indexed citations
17.
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
18.
Mehra, Surabhi, et al.. (2016). Synthesis of an Antioxidant n-propyl Gallate by Magnetic Iron Nanoparticles-bound Lipolase. 4(1). 1 indexed citations
19.
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
20.
Cui, Hailong, Sharad Seth, & Surabhi Mehra. (2002). A Novel Method to Improve the Test Efficiency of VLSI Tests. Asia and South Pacific Design Automation Conference. 499–504.

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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