Kalavathi Dasuri

26 total papers · 1.4k total citations
22 papers, 920 citations indexed

About

Kalavathi Dasuri is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Kalavathi Dasuri has authored 22 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Cell Biology. Recurrent topics in Kalavathi Dasuri's work include Ubiquitin and proteasome pathways (8 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Adipose Tissue and Metabolism (6 papers). Kalavathi Dasuri is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Adipose Tissue and Metabolism (6 papers). Kalavathi Dasuri collaborates with scholars based in United States, Argentina and China. Kalavathi Dasuri's co-authors include Jeffrey N. Keller, Le Zhang, Annadora J. Bruce‐Keller, Philip J. Ebenezer, Sun Ok Fernandez‐Kim, Sun-Ok Fernandez-Kim, Joseph Francis, Linnea R. Freeman, Romina M. Uranga and Zhan‐Guo Gao and has published in prestigious journals such as PLoS ONE, Free Radical Biology and Medicine and Journal of Neurochemistry.

In The Last Decade

Kalavathi Dasuri

22 papers receiving 905 citations

Author Peers

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

Author Last Decade Papers Cites
Kalavathi Dasuri 413 358 190 129 108 22 920
Jorge Iván Castillo-Quan 404 1.0× 400 1.1× 235 1.2× 128 1.0× 106 1.0× 22 1.1k
Sun Ok Fernandez‐Kim 287 0.7× 381 1.1× 133 0.7× 80 0.6× 112 1.0× 17 817
Gemma Comes 303 0.7× 387 1.1× 127 0.7× 78 0.6× 147 1.4× 28 902
Gee Euhn Choi 566 1.4× 255 0.7× 208 1.1× 105 0.8× 88 0.8× 34 1.1k
Jinzi Wu 384 0.9× 199 0.6× 103 0.5× 78 0.6× 99 0.9× 27 1.0k
Marı́a C. Carreras 356 0.9× 317 0.9× 233 1.2× 82 0.6× 65 0.6× 23 894
Chiara Lanzillotta 500 1.2× 498 1.4× 97 0.5× 118 0.9× 98 0.9× 32 1.1k
Ping Zheng 385 0.9× 219 0.6× 112 0.6× 97 0.8× 37 0.3× 18 920
Cristina Parrado‐Fernández 452 1.1× 402 1.1× 81 0.4× 50 0.4× 121 1.1× 18 998
Rebecca Kirkland 650 1.6× 246 0.7× 146 0.8× 59 0.5× 59 0.5× 22 1.1k

Countries citing papers authored by Kalavathi Dasuri

Since Specialization
Citations

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

Fields of papers citing papers by Kalavathi Dasuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalavathi Dasuri

This figure shows the co-authorship network connecting the top 25 collaborators of Kalavathi Dasuri. A scholar is included among the top collaborators of Kalavathi Dasuri 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 Kalavathi Dasuri. Kalavathi Dasuri 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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