Sunil Bodapati

2.5k total citations
8 papers, 786 citations indexed

About

Sunil Bodapati is a scholar working on Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sunil Bodapati has authored 8 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sunil Bodapati's work include Photoacoustic and Ultrasonic Imaging (7 papers), Nanoplatforms for cancer theranostics (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). Sunil Bodapati is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (7 papers), Nanoplatforms for cancer theranostics (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). Sunil Bodapati collaborates with scholars based in United States, China and Serbia. Sunil Bodapati's co-authors include Sanjiv S. Gambhir, Adam de la Zerda, Robert Teed, B.T. Khuri-Yakub, Zhuang Liu, Hongjie Dai, Xiaohong Chen, Srikant Vaithilingam, Scott M. Tabakman and Yannis M. Paulus and has published in prestigious journals such as Nano Letters, ACS Nano and Clinical Cancer Research.

In The Last Decade

Sunil Bodapati

8 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Bodapati United States 6 684 209 139 123 106 8 786
Robert Teed United States 7 607 0.9× 198 0.9× 153 1.1× 118 1.0× 91 0.9× 8 739
Hyungwon Moon South Korea 12 458 0.7× 174 0.8× 123 0.9× 132 1.1× 33 0.3× 24 719
Dong Peng China 12 413 0.6× 188 0.9× 90 0.6× 146 1.2× 68 0.6× 16 640
Yanxiu Li United States 15 504 0.7× 166 0.8× 177 1.3× 74 0.6× 85 0.8× 38 764
J. Carl Kumaradas Canada 13 557 0.8× 124 0.6× 101 0.7× 172 1.4× 79 0.7× 34 748
Rongkang Gao China 11 388 0.6× 75 0.4× 79 0.6× 84 0.7× 111 1.0× 26 501
Xunbin Wei China 5 423 0.6× 102 0.5× 57 0.4× 159 1.3× 27 0.3× 11 655
Kelsey P. Kubelick United States 14 324 0.5× 123 0.6× 80 0.6× 75 0.6× 22 0.2× 29 467
Silvia Gómez Ordóñez Switzerland 4 421 0.6× 84 0.4× 130 0.9× 41 0.3× 27 0.3× 6 579
Jiaqi Huang China 13 453 0.7× 171 0.8× 52 0.4× 146 1.2× 21 0.2× 45 672

Countries citing papers authored by Sunil Bodapati

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Bodapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Bodapati

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

All Works

8 of 8 papers shown
1.
Bodapati, Sunil, Timothy Daley, Xueqiu Lin, James Zou, & Lei S. Qi. (2020). A benchmark of algorithms for the analysis of pooled CRISPR screens. Genome biology. 21(1). 62–62. 49 indexed citations
2.
Levi, Jelena, Sarah E. Bohndiek, Joon‐Kee Yoon, et al.. (2013). Molecular Photoacoustic Imaging of Follicular Thyroid Carcinoma. Clinical Cancer Research. 19(6). 1494–1502. 102 indexed citations
3.
Zerda, Adam de la, Sunil Bodapati, Robert Teed, et al.. (2012). Family of Enhanced Photoacoustic Imaging Agents for High-Sensitivity and Multiplexing Studies in Living Mice. ACS Nano. 6(6). 4694–4701. 193 indexed citations
4.
Zerda, Adam de la, Yannis M. Paulus, Robert Teed, et al.. (2010). Photoacoustic ocular imaging. Optics Letters. 35(3). 270–270. 98 indexed citations
5.
Zerda, Adam de la, Zhuang Liu, Sunil Bodapati, et al.. (2010). Ultrahigh Sensitivity Carbon Nanotube Agents for Photoacoustic Molecular Imaging in Living Mice. Nano Letters. 10(6). 2168–2172. 313 indexed citations
6.
Zerda, Adam de la, Cristina Zavaleta, Shay Keren, et al.. (2009). Photoacoustic molecular imaging using single walled carbon nanotubes in living mice. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7177. 717725–717725. 5 indexed citations
7.
Zerda, Adam de la, Sunil Bodapati, Robert Teed, et al.. (2009). A Comparison Between Time Domain and Spectral Imaging Systems for Imaging Quantum Dots in Small Living Animals. Molecular Imaging and Biology. 12(5). 500–508. 25 indexed citations
8.
Zerda, Adam de la, Zhuang Liu, Cristina Zavaleta, et al.. (2009). Enhanced sensitivity carbon nanotubes as targeted photoacoustic molecular imaging agents. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7177. 71772K–71772K. 1 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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