Ankona Datta

54 total papers · 1.7k total citations
30 papers, 1.4k citations indexed

About

Ankona Datta is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Ankona Datta has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Spectroscopy and 10 papers in Materials Chemistry. Recurrent topics in Ankona Datta's work include Molecular Sensors and Ion Detection (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Ankona Datta is often cited by papers focused on Molecular Sensors and Ion Detection (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Ankona Datta collaborates with scholars based in India, United States and France. Ankona Datta's co-authors include Kenneth N. Raymond, Christoph J. Jocher, Eric J. Werner, Matthew B. Francis, Jacob M. Hooker, Mauro Botta, Anindita Sarkar, Kaustav Khatua, Silvio Aime and Dante W. Romanini and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Ankona Datta

27 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Ankona Datta 777 341 328 245 210 30 1.4k
Graeme J. Stasiuk 839 1.1× 345 1.0× 238 0.7× 169 0.7× 171 0.8× 56 1.4k
Luca Frullano 981 1.3× 623 1.8× 296 0.9× 155 0.6× 254 1.2× 20 1.5k
André F. Martins 647 0.8× 384 1.1× 154 0.5× 203 0.8× 200 1.0× 49 1.1k
Claudia Cabella 724 0.9× 691 2.0× 401 1.2× 186 0.8× 122 0.6× 39 1.6k
Matthew T. Greenfield 926 1.2× 719 2.1× 174 0.5× 99 0.4× 217 1.0× 21 1.3k
Jens Hasserodt 653 0.8× 130 0.4× 436 1.3× 249 1.0× 179 0.9× 53 1.4k
Alessandra Viale 812 1.0× 301 0.9× 125 0.4× 513 2.1× 156 0.7× 44 1.6k
Filip Kielar 913 1.2× 145 0.4× 203 0.6× 326 1.3× 177 0.8× 66 1.5k
Sally E. Plush 1.1k 1.4× 128 0.4× 352 1.1× 445 1.8× 225 1.1× 58 1.8k
Aurora Rodríguez‐Rodríguez 1.3k 1.7× 584 1.7× 144 0.4× 181 0.7× 424 2.0× 36 1.8k

Countries citing papers authored by Ankona Datta

Since Specialization
Citations

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

Fields of papers citing papers by Ankona Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankona Datta

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