Shubhashis Datta

41 total papers · 554 total citations
30 papers, 478 citations indexed

About

Shubhashis Datta is a scholar working on Molecular Biology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Shubhashis Datta has authored 30 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Organic Chemistry and 6 papers in Materials Chemistry. Recurrent topics in Shubhashis Datta's work include Protein Interaction Studies and Fluorescence Analysis (8 papers), Photodynamic Therapy Research Studies (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Shubhashis Datta is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (8 papers), Photodynamic Therapy Research Studies (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Shubhashis Datta collaborates with scholars based in India, Slovakia and United Kingdom. Shubhashis Datta's co-authors include Mintu Halder, Niharendu Mahapatra, P. B. S. Bhadoria, Mehdi Rajabi, Zinatossadat Hossaini, Shaker A. Mousa, Mohammad A. Khalilzadeh, Daniel Jancura, Pavol Miškovský and Simanchal Kar and has published in prestigious journals such as The Journal of Physical Chemistry B, Langmuir and Journal of Agricultural and Food Chemistry.

In The Last Decade

Shubhashis Datta

29 papers receiving 469 citations

Author Peers

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

Author Last Decade Papers Cites
Shubhashis Datta 166 161 67 61 52 30 478
Anca Ruxandra Leontieș 165 1.0× 91 0.6× 61 0.9× 80 1.3× 59 1.1× 32 408
Feng Zheng 132 0.8× 181 1.1× 51 0.8× 56 0.9× 28 0.5× 47 549
С. П. Иванов 135 0.8× 170 1.1× 28 0.4× 97 1.6× 66 1.3× 70 501
Raquel V. Vico 181 1.1× 206 1.3× 90 1.3× 95 1.6× 40 0.8× 30 460
Ling He 142 0.9× 87 0.5× 66 1.0× 94 1.5× 29 0.6× 25 548
Yan Yan 262 1.6× 204 1.3× 76 1.1× 99 1.6× 17 0.3× 32 552
Liqun Shen 130 0.8× 156 1.0× 26 0.4× 76 1.2× 26 0.5× 58 510
Kostas Bethanis 122 0.7× 60 0.4× 68 1.0× 102 1.7× 32 0.6× 43 441
Paweł Urbaniak 106 0.6× 179 1.1× 65 1.0× 64 1.0× 12 0.2× 36 450
Ming‐Yuan Liao 97 0.6× 81 0.5× 130 1.9× 72 1.2× 24 0.5× 24 443

Countries citing papers authored by Shubhashis Datta

Since Specialization
Citations

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

Fields of papers citing papers by Shubhashis Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhashis Datta

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