Madhurima Jana

68 total papers · 862 total citations
55 papers, 708 citations indexed

About

Madhurima Jana is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Madhurima Jana has authored 55 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Materials Chemistry and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Madhurima Jana's work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (14 papers) and Protein Interaction Studies and Fluorescence Analysis (12 papers). Madhurima Jana is often cited by papers focused on Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (14 papers) and Protein Interaction Studies and Fluorescence Analysis (12 papers). Madhurima Jana collaborates with scholars based in India, United States and Chile. Madhurima Jana's co-authors include Sanjoy Bandyopadhyay, Atanu Singha Roy, Sharat Sarmah, Alexander D. MacKerell, Sourav Das, Mostofa Ataur Rohman, Rakesh Parida, Santanab Giri, Sankar N. Maity and G. Naaresh Reddy and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of Power Sources.

In The Last Decade

Madhurima Jana

54 papers receiving 701 citations

Author Peers

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

Author Last Decade Papers Cites
Madhurima Jana 413 161 126 108 95 55 708
Thomas J. Thamann 456 1.1× 195 1.2× 103 0.8× 131 1.2× 37 0.4× 33 875
Adolfo Lai 252 0.6× 151 0.9× 146 1.2× 198 1.8× 75 0.8× 63 825
Hermann Dugas 510 1.2× 139 0.9× 226 1.8× 163 1.5× 97 1.0× 47 885
Iulia Matei 423 1.0× 187 1.2× 163 1.3× 125 1.2× 36 0.4× 44 771
Martin P. Mayhew 348 0.8× 145 0.9× 90 0.7× 183 1.7× 30 0.3× 27 749
G. Ehrensvärd 282 0.7× 107 0.7× 131 1.0× 78 0.7× 25 0.3× 63 892
Narayani Ghosh 473 1.1× 88 0.5× 218 1.7× 80 0.7× 50 0.5× 21 691
Valeriya Trusova 441 1.1× 148 0.9× 135 1.1× 122 1.1× 59 0.6× 85 749
Kensaku Hamada 353 0.9× 167 1.0× 99 0.8× 84 0.8× 72 0.8× 43 677
Frank Runge 243 0.6× 59 0.4× 132 1.0× 104 1.0× 41 0.4× 31 786

Countries citing papers authored by Madhurima Jana

Since Specialization
Citations

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

Fields of papers citing papers by Madhurima Jana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhurima Jana

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