Sharmistha Das

88 total papers · 1.2k total citations
48 papers, 1.0k citations indexed

About

Sharmistha Das is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Sharmistha Das has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Materials Chemistry and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Sharmistha Das's work include Estrogen and related hormone effects (6 papers), Quantum Dots Synthesis And Properties (6 papers) and Luminescence and Fluorescent Materials (5 papers). Sharmistha Das is often cited by papers focused on Estrogen and related hormone effects (6 papers), Quantum Dots Synthesis And Properties (6 papers) and Luminescence and Fluorescent Materials (5 papers). Sharmistha Das collaborates with scholars based in India, United States and Bangladesh. Sharmistha Das's co-authors include Herbert H. Samuels, Anindya Datta, Olubunmi Afonja, Amlan J. Pal, Sachiko Matsuhashi, Bruce M. Raaka, Soumyadipta Rakshit, Marjana Tomic‐Canic, Kay T. Yeung and Matthieu Schapira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Sharmistha Das

47 papers receiving 986 citations

Author Peers

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

Author						Papers	Cites
Sharmistha Das	493	176	147	122	105	48	1.0k
Yao Jin	426 0.9×	180 1.0×	113 0.8×	33 0.3×	82 0.8×	40	1.2k
Douglas H. Weitzel	539 1.1×	152 0.9×	86 0.6×	69 0.6×	141 1.3×	32	1.1k
Qingrun Li	677 1.4×	126 0.7×	95 0.6×	71 0.6×	79 0.8×	74	1.2k
Runlin Yang	385 0.8×	238 1.4×	47 0.3×	73 0.6×	95 0.9×	48	1.1k
Rui Kamada	466 0.9×	319 1.8×	318 2.2×	43 0.4×	74 0.7×	68	1.1k
Eliza Głodkowska‐Mrówka	294 0.6×	245 1.4×	87 0.6×	38 0.3×	100 1.0×	38	934
Zhi Liang	352 0.7×	213 1.2×	72 0.5×	56 0.5×	68 0.6×	38	800
Juntao Xu	517 1.0×	161 0.9×	135 0.9×	62 0.5×	113 1.1×	60	1.2k
Xiyun Ye	343 0.7×	248 1.4×	287 2.0×	27 0.2×	63 0.6×	45	1.2k
Yuwei Song	240 0.5×	149 0.8×	152 1.0×	39 0.3×	138 1.3×	34	816

Countries citing papers authored by Sharmistha Das

Since Specialization

Citations

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

Fields of papers citing papers by Sharmistha Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharmistha Das

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