Sheela D. Konda

773 total citations
9 papers, 581 citations indexed

About

Sheela D. Konda is a scholar working on Radiology, Nuclear Medicine and Imaging, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, Sheela D. Konda has authored 9 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Polymers and Plastics and 3 papers in Molecular Biology. Recurrent topics in Sheela D. Konda's work include Dendrimers and Hyperbranched Polymers (4 papers), Lanthanide and Transition Metal Complexes (3 papers) and Medical Imaging Techniques and Applications (3 papers). Sheela D. Konda is often cited by papers focused on Dendrimers and Hyperbranched Polymers (4 papers), Lanthanide and Transition Metal Complexes (3 papers) and Medical Imaging Techniques and Applications (3 papers). Sheela D. Konda collaborates with scholars based in United States, France and Taiwan. Sheela D. Konda's co-authors include Martin W. Brechbiel, Erik C. Wiener, Steven Wang, Otto A. Gansow, Heber MacMahon, Gillian M. Newstead, Chih‐Feng Chen, Daniel Appelbaum, Yu-Jie Huang and Yonglin Pu and has published in prestigious journals such as Radiographics, Investigative Radiology and Academic Radiology.

In The Last Decade

Sheela D. Konda

9 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheela D. Konda United States 8 213 209 194 168 126 9 581
Kaori Togashi Japan 7 157 0.7× 121 0.6× 119 0.6× 139 0.8× 79 0.6× 8 650
Quido G. de Lussanet Netherlands 12 87 0.4× 311 1.5× 180 0.9× 197 1.2× 85 0.7× 24 648
Matthew C. Parrott United States 14 177 0.8× 196 0.9× 284 1.5× 164 1.0× 197 1.6× 18 869
Pablo Cabral Uruguay 16 64 0.3× 426 2.0× 238 1.2× 92 0.5× 81 0.6× 72 729
Hisataka Kobayashi Japan 8 118 0.6× 98 0.5× 85 0.4× 115 0.7× 66 0.5× 11 338
Muhammed S.T. Kariapper United States 11 111 0.5× 40 0.2× 373 1.9× 191 1.1× 144 1.1× 25 823
Chuanchu Wu United States 15 225 1.1× 698 3.3× 222 1.1× 266 1.6× 81 0.6× 19 1.1k
Shinya Yano Japan 15 51 0.2× 102 0.5× 156 0.8× 129 0.8× 87 0.7× 48 739
Birgit Blechert Germany 12 63 0.3× 214 1.0× 168 0.9× 30 0.2× 130 1.0× 16 667
Hyo Jung Seo South Korea 11 104 0.5× 205 1.0× 167 0.9× 27 0.2× 44 0.3× 25 565

Countries citing papers authored by Sheela D. Konda

Since Specialization
Citations

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

Fields of papers citing papers by Sheela D. Konda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheela D. Konda. 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 Sheela D. Konda. The network helps show where Sheela D. Konda may publish in the future.

Co-authorship network of co-authors of Sheela D. Konda

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

All Works

9 of 9 papers shown
1.
Pu, Yonglin, et al.. (2010). The utility of the nonattenuation corrected 18F-FDG PET images in the characterization of solitary pulmonary lesions. Nuclear Medicine Communications. 31(11). 945–951. 8 indexed citations
3.
Langerman, Alexander, et al.. (2009). Neck Dissection Planning Based on Postchemoradiation Computed Tomography in Patients With Head and Neck Cancer. Archives of Otolaryngology - Head and Neck Surgery. 135(9). 876–876. 1 indexed citations
4.
Konda, Sheela D., et al.. (2007). Breast Lesions Incidentally Detected with CT: What the General Radiologist Needs to Know. Radiographics. 27(suppl_1). S37–S51. 54 indexed citations
5.
Konda, Sheela D., Steven Wang, Martin W. Brechbiel, & Erik C. Wiener. (2002). Biodistribution of a 153Gd-Folate Dendrimer, Generation = 4, in Mice With Folate-Receptor Positive and Negative Ovarian Tumor Xenografts. Investigative Radiology. 37(4). 199–204. 73 indexed citations
6.
Wiener, Erik C., Sheela D. Konda, Steven Wang, & Martin W. Brechbiel. (2002). Imaging Folate Binding Protein Expression with MRI. Academic Radiology. 9(2). S316–S319. 9 indexed citations
7.
Konda, Sheela D., et al.. (2001). Specific targeting of folate–dendrimer MRI contrast agents to the high affinity folate receptor expressed in ovarian tumor xenografts. Magnetic Resonance Materials in Physics Biology and Medicine. 12(2-3). 104–113. 154 indexed citations
8.
Konda, Sheela D., et al.. (2000). Development of a Tumor-Targeting MR Contrast Agent Using the High-Affinity Folate Receptor. Investigative Radiology. 35(1). 50–50. 96 indexed citations
9.
Wiener, Erik C., et al.. (1997). Targeting Dendrimer-Chelates to Tumors and Tumor Cells Expressing the High-Affinity Folate Receptor. Investigative Radiology. 32(12). 748–754. 157 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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