Praveena Mohan

905 total citations
11 papers, 752 citations indexed

About

Praveena Mohan is a scholar working on Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Praveena Mohan has authored 11 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Praveena Mohan's work include Ultrasound and Hyperthermia Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Ultrasound Imaging and Elastography (3 papers). Praveena Mohan is often cited by papers focused on Ultrasound and Hyperthermia Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Ultrasound Imaging and Elastography (3 papers). Praveena Mohan collaborates with scholars based in United States, Australia and China. Praveena Mohan's co-authors include Natalya Rapoport, Roohi Gupta, Anne Kennedy, Nick Todd, Courtney L. Scaife, Allison Payne, Dennis L. Parker, E.-K. Jeong, Jill Shea and Taeho Kim and has published in prestigious journals such as Advanced Functional Materials, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Praveena Mohan

10 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praveena Mohan United States 8 513 269 222 172 100 11 752
Jeong Yu Lee South Korea 14 370 0.7× 228 0.8× 165 0.7× 195 1.1× 37 0.4× 18 620
Qiaojuan Jia China 8 542 1.1× 484 1.8× 315 1.4× 287 1.7× 78 0.8× 8 936
Thomas Vangijzegem Belgium 9 334 0.7× 348 1.3× 222 1.0× 122 0.7× 32 0.3× 10 693
Sofie Snipstad Norway 19 700 1.4× 366 1.4× 296 1.3× 169 1.0× 126 1.3× 38 1.0k
Sakine Shirvalilou Iran 18 481 0.9× 458 1.7× 216 1.0× 201 1.2× 36 0.4× 44 892
Maïté Callewaert France 14 176 0.3× 194 0.7× 192 0.9× 92 0.5× 94 0.9× 29 547
Lisa A. Vathy United States 7 335 0.7× 254 0.9× 310 1.4× 186 1.1× 39 0.4× 8 654
Argiris Kolokithas‐Ntoukas Greece 13 359 0.7× 246 0.9× 207 0.9× 84 0.5× 34 0.3× 24 592
Adrian V. Fuchs Australia 18 237 0.5× 295 1.1× 121 0.5× 250 1.5× 67 0.7× 27 719

Countries citing papers authored by Praveena Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Praveena Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveena Mohan

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

All Works

11 of 11 papers shown
1.
Berry, James D., Sabrina Paganoni, Matthew Harms, et al.. (2024). Access for ALL in ALS: A large‐scale, inclusive, collaborative consortium to unlock the molecular and genetic mechanisms of amyotrophic lateral sclerosis. Muscle & Nerve. 70(6). 1140–1150. 1 indexed citations
2.
Mohan, Praveena, et al.. (2022). Impact of mode of training and recertification on ALSFRS-R rater performance. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 24(3-4). 289–294.
3.
Chattaraj, Rajarshi, et al.. (2015). Selective Vaporization of Superheated Nanodroplets for Rapid, Sensitive, Acoustic Biosensing. Advanced Healthcare Materials. 4(12). 1790–1795. 14 indexed citations
4.
Chattaraj, Rajarshi, et al.. (2015). Mutually-Reactive, Fluorogenic Hydrocyanine/Quinone Reporter Pairs for In-Solution Biosensing via Nanodroplet Association. ACS Applied Materials & Interfaces. 8(1). 802–808. 20 indexed citations
5.
Mohan, Praveena, et al.. (2014). On-Demand Droplet Fusion: A Strategy for Stimulus-Responsive Biosensing in Solution. Langmuir. 30(41). 12321–12327. 7 indexed citations
6.
Mohan, Praveena, et al.. (2014). DNA Hybridization‐Mediated Liposome Fusion at the Aqueous Liquid Crystal Interface. Advanced Functional Materials. 24(21). 3206–3212. 33 indexed citations
7.
Noh, Hyunwoo, Samuel M. Goodman, Praveena Mohan, et al.. (2014). Direct conjugation of DNA to quantum dots for scalable assembly of photoactive thin films. RSC Advances. 4(16). 8064–8064. 11 indexed citations
8.
Gupta, Roohi, et al.. (2012). Overcoming biological barriers with ultrasound. AIP conference proceedings. 1481. 381–387. 7 indexed citations
9.
Rapoport, Natalya, Roohi Gupta, Praveena Mohan, et al.. (2011). Ultrasound-mediated tumor imaging and nanotherapy using drug loaded, block copolymer stabilized perfluorocarbon nanoemulsions. Journal of Controlled Release. 153(1). 4–15. 342 indexed citations
11.
Kandadai, Madhuvanthi A., et al.. (2010). Comparison of Surfactants Used to Prepare Aqueous Perfluoropentane Emulsions for Pharmaceutical Applications. Langmuir. 26(7). 4655–4660. 33 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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