Rakesh Guduru

37 total papers · 1.6k total citations
26 papers, 1.1k citations indexed

About

Rakesh Guduru is a scholar working on Biomaterials, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Rakesh Guduru has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 8 papers in Biomedical Engineering and 7 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Rakesh Guduru's work include Nanoparticle-Based Drug Delivery (8 papers), Multiferroics and related materials (6 papers) and Characterization and Applications of Magnetic Nanoparticles (5 papers). Rakesh Guduru is often cited by papers focused on Nanoparticle-Based Drug Delivery (8 papers), Multiferroics and related materials (6 papers) and Characterization and Applications of Magnetic Nanoparticles (5 papers). Rakesh Guduru collaborates with scholars based in United States and China. Rakesh Guduru's co-authors include Sakhrat Khizroev, Ping Liang, Jeongmin Hong, Madhavan Nair, Alexandra Rodzinski, Carolyn D. Runowicz, Ali Hadjikhani, Vidya Sagar, Tiffanie Stewart and Emmanuel Stimphil and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rakesh Guduru

24 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rakesh Guduru	522	322	292	244	195	26	1.1k
Adela C. Bonoiu	453 0.9×	712 2.2×	235 0.8×	202 0.8×	478 2.5×	14	1.4k
M. Kiranmai Reddy	433 0.8×	289 0.9×	559 1.9×	38 0.2×	327 1.7×	20	1.3k
Ian Liau	402 0.8×	395 1.2×	278 1.0×	182 0.7×	253 1.3×	42	1.2k
Carolina Salvador-Morales	432 0.8×	401 1.2×	377 1.3×	32 0.1×	333 1.7×	22	1.1k
Yuda Zhu	591 1.1×	576 1.8×	270 0.9×	33 0.1×	324 1.7×	46	1.4k
Hans-Joachim Galla	311 0.6×	197 0.6×	349 1.2×	80 0.3×	467 2.4×	16	1.3k
Laurence Douziech-Eyrolles	490 0.9×	315 1.0×	634 2.2×	126 0.5×	404 2.1×	19	1.4k
Babak Kateb	508 1.0×	217 0.7×	137 0.5×	34 0.1×	227 1.2×	30	950
Joan Estelrich	563 1.1×	393 1.2×	572 2.0×	73 0.3×	342 1.8×	24	1.4k
Andrea I. d’Aquino	372 0.7×	479 1.5×	184 0.6×	84 0.3×	222 1.1×	23	1.3k

Countries citing papers authored by Rakesh Guduru

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh Guduru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Guduru

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

All Works

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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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