Saipraveen Srinivasan

1.2k total citations · 1 hit paper
16 papers, 896 citations indexed

About

Saipraveen Srinivasan is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Saipraveen Srinivasan has authored 16 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cell Biology. Recurrent topics in Saipraveen Srinivasan's work include Cellular transport and secretion (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Alzheimer's disease research and treatments (5 papers). Saipraveen Srinivasan is often cited by papers focused on Cellular transport and secretion (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Alzheimer's disease research and treatments (5 papers). Saipraveen Srinivasan collaborates with scholars based in United States, United Kingdom and India. Saipraveen Srinivasan's co-authors include Sandra L. Schmid, Ping‐Hung Chen, Marcel Mettlen, Gaudenz Danuser, Wilfredo Colón, François Aguet, Carlos R. Reis, Agnieszka Martyna, Ravi S. Kane and Jeremy S. Rossman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annual Review of Biochemistry.

In The Last Decade

Saipraveen Srinivasan

16 papers receiving 887 citations

Hit Papers

Regulation of Clathrin-Mediated Endocytosis 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saipraveen Srinivasan United States 12 602 342 190 88 74 16 896
Anna Szlachcic Poland 13 896 1.5× 399 1.2× 159 0.8× 99 1.1× 79 1.1× 23 1.1k
Ngoc Chau Australia 18 827 1.4× 691 2.0× 182 1.0× 93 1.1× 104 1.4× 29 1.4k
Megan Chircop Australia 17 723 1.2× 629 1.8× 138 0.7× 28 0.3× 101 1.4× 26 1.2k
Lisa von Kleist Germany 12 538 0.9× 334 1.0× 98 0.5× 25 0.3× 68 0.9× 15 832
Oleksiy Kovtun Australia 17 1.1k 1.8× 780 2.3× 282 1.5× 126 1.4× 66 0.9× 24 1.6k
Anja Lambrechts Belgium 17 728 1.2× 586 1.7× 79 0.4× 36 0.4× 73 1.0× 20 1.4k
François Waharte France 18 860 1.4× 488 1.4× 78 0.4× 52 0.6× 51 0.7× 28 1.3k
Hung Do United States 12 694 1.2× 248 0.7× 285 1.5× 28 0.3× 83 1.1× 25 1.1k
Zrinka Marijanovic France 10 695 1.2× 173 0.5× 191 1.0× 162 1.8× 164 2.2× 13 1.1k
Rosalie Lawrence United States 10 604 1.0× 350 1.0× 147 0.8× 33 0.4× 88 1.2× 16 1.1k

Countries citing papers authored by Saipraveen Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Saipraveen Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saipraveen Srinivasan

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

All Works

16 of 16 papers shown
1.
Powers, Thomas W., Sisi Huang, Zhenjiu Liu, et al.. (2023). Development of an icIEF assay for monitoring AAV capsid proteins and application to gene therapy products. Molecular Therapy — Methods & Clinical Development. 29. 133–144. 15 indexed citations
2.
Mettlen, Marcel, Ping‐Hung Chen, Saipraveen Srinivasan, Gaudenz Danuser, & Sandra L. Schmid. (2018). Regulation of Clathrin-Mediated Endocytosis. Annual Review of Biochemistry. 87(1). 871–896. 421 indexed citations breakdown →
3.
Gireud, Monica, Sahily Reyes‐Esteves, Madeline M. Farley, et al.. (2018). Distinct mechanisms enable inward or outward budding from late endosomes/multivesicular bodies. Experimental Cell Research. 372(1). 1–15. 4 indexed citations
4.
Srinivasan, Saipraveen, Christoph J. Burckhardt, Madhura Bhave, et al.. (2018). A noncanonical role for dynamin-1 in regulating early stages of clathrin-mediated endocytosis in non-neuronal cells. PLoS Biology. 16(4). e2005377–e2005377. 32 indexed citations
5.
Martyna, Agnieszka, et al.. (2017). Membrane remodeling by the M2 amphipathic helix drives influenza virus membrane scission. Scientific Reports. 7(1). 44695–44695. 57 indexed citations
6.
Srinivasan, Saipraveen, Venkatasubramanian Dharmarajan, Dana Kim Reed, Patrick R. Griffin, & Sandra L. Schmid. (2016). Identification and function of conformational dynamics in the multidomain GTP ase dynamin. The EMBO Journal. 35(4). 443–457. 32 indexed citations
7.
Reis, Carlos R., Ping‐Hung Chen, Saipraveen Srinivasan, et al.. (2015). Crosstalk between Akt/ GSK 3β signaling and dynamin‐1 regulates clathrin‐mediated endocytosis. The EMBO Journal. 34(16). 2132–2146. 100 indexed citations
8.
Colón, Wilfredo, et al.. (2015). Intrinsic Stability, Oligomerization, and Amyloidogenicity of HDL-Free Serum Amyloid A. Advances in experimental medicine and biology. 855. 117–134. 11 indexed citations
9.
Srinivasan, Saipraveen, et al.. (2014). Intrapolypeptide Interactions between the GTPase Effector Domain (GED) and the GTPase Domain Form the Bundle Signaling Element in Dynamin Dimers. Biochemistry. 53(36). 5724–5726. 4 indexed citations
10.
Srinivasan, Saipraveen, et al.. (2013). Characterization of the Oligomerization and Aggregation of Human Serum Amyloid A. PLoS ONE. 8(6). e64974–e64974. 29 indexed citations
11.
Maheshwari, Ronak, et al.. (2012). Influence of the Carboxy Terminus of Serum Amyloid A on Protein Oligomerization, Misfolding, and Fibril Formation. Biochemistry. 51(14). 3092–3099. 9 indexed citations
12.
Srinivasan, Saipraveen, Yun Wang, María M. López, et al.. (2012). Pathogenic Serum Amyloid A 1.1 Shows a Long Oligomer-rich Fibrillation Lag Phase Contrary to the Highly Amyloidogenic Non-pathogenic SAA2.2. Journal of Biological Chemistry. 288(4). 2744–2755. 46 indexed citations
13.
Srinivasan, Saipraveen, et al.. (2011). Inflammation Protein SAA2.2 Spontaneously Forms Marginally Stable Amyloid Fibrils at Physiological Temperature. Biochemistry. 50(43). 9184–9191. 13 indexed citations
14.
Wang, Yun, et al.. (2011). Serum amyloid A 2.2 refolds into a octameric oligomer that slowly converts to a more stable hexamer. Biochemical and Biophysical Research Communications. 407(4). 725–729. 27 indexed citations
15.
Vassall, Kenrick A., S.M. Sullivan, Saipraveen Srinivasan, et al.. (2011). Decreased stability and increased formation of soluble aggregates by immature superoxide dismutase do not account for disease severity in ALS. Proceedings of the National Academy of Sciences. 108(6). 2210–2215. 92 indexed citations
16.
Srinivasan, Saipraveen, et al.. (2010). The role of the local environment of engineered Tyr to Trp substitutions for probing the denaturation mechanism of FIS. Protein Science. 20(2). 302–312. 4 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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