Srinivasa R. Raghavan

16.9k total citations
215 papers, 14.3k citations indexed

About

Srinivasa R. Raghavan is a scholar working on Organic Chemistry, Materials Chemistry and Biomaterials. According to data from OpenAlex, Srinivasa R. Raghavan has authored 215 papers receiving a total of 14.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Organic Chemistry, 64 papers in Materials Chemistry and 51 papers in Biomaterials. Recurrent topics in Srinivasa R. Raghavan's work include Surfactants and Colloidal Systems (59 papers), Supramolecular Self-Assembly in Materials (38 papers) and Lipid Membrane Structure and Behavior (36 papers). Srinivasa R. Raghavan is often cited by papers focused on Surfactants and Colloidal Systems (59 papers), Supramolecular Self-Assembly in Materials (38 papers) and Lipid Membrane Structure and Behavior (36 papers). Srinivasa R. Raghavan collaborates with scholars based in United States, China and Israel. Srinivasa R. Raghavan's co-authors include Eric W. Kaler, Saad A. Khan, Rakesh Kumar, Bani H. Cipriano, Richard G. Weiss, Dganit Danino, Shih‐Huang Tung, Hyun‐Taek Oh, Lior Ziserman and Hee‐Young Lee and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Chemical Society Reviews.

In The Last Decade

Srinivasa R. Raghavan

210 papers receiving 14.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srinivasa R. Raghavan United States 66 5.8k 3.9k 3.8k 2.7k 2.3k 215 14.3k
Paschalis Alexandridis United States 69 9.7k 1.7× 5.1k 1.3× 2.7k 0.7× 1.8k 0.7× 2.5k 1.1× 182 17.8k
Martien A. Cohen Stuart Netherlands 75 8.1k 1.4× 6.7k 1.7× 4.9k 1.3× 3.2k 1.2× 5.7k 2.5× 432 25.8k
Jingcheng Hao China 62 6.1k 1.0× 7.3k 1.9× 4.0k 1.0× 2.5k 0.9× 4.1k 1.8× 659 18.7k
Krister Holmberg Sweden 60 6.5k 1.1× 3.1k 0.8× 1.6k 0.4× 3.3k 1.2× 2.2k 1.0× 270 14.9k
T. Alan Hatton United States 94 9.8k 1.7× 8.5k 2.2× 4.4k 1.1× 3.8k 1.4× 9.5k 4.1× 463 31.8k
Walter Richtering Germany 70 6.6k 1.1× 6.5k 1.7× 2.3k 0.6× 1.5k 0.6× 4.2k 1.8× 336 17.6k
Janne Ruokolainen Finland 65 4.8k 0.8× 5.4k 1.4× 6.7k 1.7× 2.5k 0.9× 3.5k 1.5× 315 16.9k
Per M. Claesson Sweden 63 3.7k 0.6× 3.1k 0.8× 1.8k 0.5× 1.4k 0.5× 3.5k 1.5× 368 15.8k
Françoise M. Winnik Canada 71 9.5k 1.6× 6.7k 1.7× 5.3k 1.4× 4.5k 1.7× 4.9k 2.1× 299 24.0k
Robert K. Prud’homme United States 71 4.0k 0.7× 11.9k 3.1× 3.7k 1.0× 2.3k 0.8× 9.1k 3.9× 379 27.2k

Countries citing papers authored by Srinivasa R. Raghavan

Since Specialization
Citations

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

Fields of papers citing papers by Srinivasa R. Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srinivasa R. Raghavan. 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 Srinivasa R. Raghavan. The network helps show where Srinivasa R. Raghavan may publish in the future.

Co-authorship network of co-authors of Srinivasa R. Raghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivasa R. Raghavan. A scholar is included among the top collaborators of Srinivasa R. Raghavan 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 Srinivasa R. Raghavan. Srinivasa R. Raghavan 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.
John, Vijay T., et al.. (2024). Vesicle–micelle transitions driven by ROS, light and heat. Nanoscale. 16(36). 16942–16951. 3 indexed citations
2.
Raghavan, Srinivasa R., et al.. (2023). Chemically Fueled Dissipative Cross-Linking of Protein Hydrogels Mediated by Protein Unfolding. Biomacromolecules. 24(3). 1131–1140. 12 indexed citations
3.
Raghavan, Srinivasa R., et al.. (2023). Oleo-sheets and omni-sheets: Fabric-like superabsorbers for oil, water, or any solvent. Chemical Engineering Journal. 473. 145252–145252.
4.
5.
Fornasier, Marco, Andrea Porcheddu, Anna Casu, et al.. (2020). Surface-modified nanoerythrosomes for potential optical imaging diagnostics. Journal of Colloid and Interface Science. 582(Pt A). 246–253. 8 indexed citations
6.
Guo, Hongyu, Jian Cheng, Kuikun Yang, et al.. (2019). Programming the Shape Transformation of a Composite Hydrogel Sheet via Erasable and Rewritable Nanoparticle Patterns. ACS Applied Materials & Interfaces. 11(45). 42654–42660. 25 indexed citations
7.
Zheng, Jing, Xiulin Fan, Guangbin Ji, et al.. (2018). Manipulating electrolyte and solid electrolyte interphase to enable safe and efficient Li-S batteries. Nano Energy. 50. 431–440. 161 indexed citations
8.
Guo, Hongyu, Yijing Liu, Yang Yang, et al.. (2018). A shape-shifting composite hydrogel sheet with spatially patterned plasmonic nanoparticles. Journal of Materials Chemistry B. 7(10). 1679–1683. 17 indexed citations
9.
Lamichhane, Narottam, Thirupandiyur S. Udayakumar, W DˈSouza, et al.. (2018). Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery. Molecules. 23(2). 288–288. 215 indexed citations
10.
Chaturvedi, Apurva, Matthew B. Dowling, Thomas M. Scalea, et al.. (2016). Hydrophobically modified chitosan gauze: a novel topical hemostat. Journal of Surgical Research. 207. 45–52. 30 indexed citations
11.
12.
Dowling, Matthew B., Michael Kilbourne, Kaspar Keledjian, et al.. (2012). Determination of efficacy of novel modified chitosan sponge dressing in a lethal arterial injury model in swine. The Journal of Trauma: Injury, Infection, and Critical Care. 72(4). 899–907. 36 indexed citations
13.
Wang, Yi, Bo Fang, Yeshayahu Talmon, et al.. (2011). Light-Responsive Threadlike Micelles as Drag Reducing Fluids with Enhanced Heat-Transfer Capabilities. Langmuir. 27(10). 5806–5813. 87 indexed citations
14.
Cipriano, Bani H., Arun K. Kota, Alan L. Gershon, et al.. (2008). Conductivity enhancement of carbon nanotube and nanofiber-based polymer nanocomposites by melt annealing. Polymer. 49(22). 4846–4851. 142 indexed citations
15.
Payne, Gregory F. & Srinivasa R. Raghavan. (2007). Chitosan: a soft interconnect for hierarchical assembly of nano-scale components. Soft Matter. 3(5). 521–521. 98 indexed citations
16.
Raghavan, Srinivasa R., et al.. (2006). Self-Assembly of Surfactant Vesicles that Transform into Viscoelastic Wormlike Micelles upon Heating. Journal of the American Chemical Society. 128(20). 6669–6675. 365 indexed citations
17.
Tung, Shih‐Huang, et al.. (2006). Contrasting Effects of Temperature on the Rheology of Normal and Reverse Wormlike Micelles. Langmuir. 23(2). 372–376. 86 indexed citations
18.
Raghavan, Srinivasa R., et al.. (2005). Developing Decision Support for Dialysis Treatment of Chronic Kidney Failure. IEEE Transactions on Information Technology in Biomedicine. 9(2). 229–238. 20 indexed citations
19.
Kashiwagi, Takashi, Richard H. Harris, Robert M. Briber, et al.. (2004). Flame Retardant Mechanism of Polyamid 6 - Clay Nanocompsoites. Polymer. 1 indexed citations
20.
Raghavan, Srinivasa R.. (1977). HEAT EXCHANGER NETWORK SYNTHESIS - A THERMODYNAMIC APPROACH.. Purdue e-Pubs (Purdue University System). 12 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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