S. G. Dastidar

23 total papers · 446 total citations
18 papers, 371 citations indexed

About

S. G. Dastidar is a scholar working on Molecular Biology, Food Science and Organic Chemistry. According to data from OpenAlex, S. G. Dastidar has authored 18 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Food Science and 4 papers in Organic Chemistry. Recurrent topics in S. G. Dastidar's work include Phenothiazines and Benzothiazines Synthesis and Activities (8 papers), Essential Oils and Antimicrobial Activity (5 papers) and Bioactive Compounds and Antitumor Agents (3 papers). S. G. Dastidar is often cited by papers focused on Phenothiazines and Benzothiazines Synthesis and Activities (8 papers), Essential Oils and Antimicrobial Activity (5 papers) and Bioactive Compounds and Antitumor Agents (3 papers). S. G. Dastidar collaborates with scholars based in India, South Korea and United States. S. G. Dastidar's co-authors include Noton K. Dutta, Anindita Chakrabarty, Kaushiki Mazumdar, Jeong Hwan Park, Supratim Ray, Amlan Kanti Sarkar, Devdatta Suhas Neogi, Abhijit Chaudhury, Dhruba Acharya and Adhiraj Dasgupta and has published in prestigious journals such as Carbohydrate Research, International Journal of Antimicrobial Agents and European Journal of Clinical Microbiology & Infectious Diseases.

In The Last Decade

S. G. Dastidar

17 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
S. G. Dastidar 219 93 72 59 58 18 371
Ratana Lawung 149 0.7× 51 0.5× 53 0.7× 53 0.9× 41 0.7× 23 411
Vigyasa Singh 156 0.7× 66 0.7× 32 0.4× 64 1.1× 51 0.9× 16 371
Gil Belofsky 188 0.9× 64 0.7× 56 0.8× 70 1.2× 47 0.8× 14 375
Annamária Molnár 184 0.8× 81 0.9× 46 0.6× 61 1.0× 51 0.9× 22 414
Ying Liu 154 0.7× 43 0.5× 54 0.8× 92 1.6× 72 1.2× 10 387
Gen-Chun Wang 191 0.9× 38 0.4× 106 1.5× 101 1.7× 37 0.6× 14 403
Francisca Bruna Stefany Aires do Nascimento 139 0.6× 59 0.6× 67 0.9× 73 1.2× 38 0.7× 25 388
Samar S. Elbaramawi 187 0.9× 71 0.8× 38 0.5× 42 0.7× 68 1.2× 28 342
Malathi Kullappan 158 0.7× 56 0.6× 49 0.7× 30 0.5× 35 0.6× 25 386
Manaf AlMatar 155 0.7× 39 0.4× 46 0.6× 38 0.6× 79 1.4× 26 407

Countries citing papers authored by S. G. Dastidar

Since Specialization
Citations

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

Fields of papers citing papers by S. G. Dastidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. G. Dastidar. 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 S. G. Dastidar. The network helps show where S. G. Dastidar may publish in the future.

Co-authorship network of co-authors of S. G. Dastidar

This figure shows the co-authorship network connecting the top 25 collaborators of S. G. Dastidar. A scholar is included among the top collaborators of S. G. Dastidar 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 S. G. Dastidar. S. G. Dastidar 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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