National Academy Science Letters

1.3k papers and 6.3k indexed citations i.

About

The 1.3k papers published in National Academy Science Letters in the last decades have received a total of 6.3k indexed citations. Papers published in National Academy Science Letters usually cover Plant Science (386 papers), Molecular Biology (181 papers) and Ecology, Evolution, Behavior and Systematics (102 papers) specifically the topics of Essential Oils and Antimicrobial Activity (55 papers), Plant tissue culture and regeneration (45 papers) and Fish Biology and Ecology Studies (39 papers). The most active scholars publishing in National Academy Science Letters are Pathik Shah, Subhas C. Shit, Abhay K. Pandey, Noradin Ghadimi, M. V. A. Raju Bahubalendruni, Anand Mohan, Mayank Dave, Amit Kumar Singh, Munish Kumar and Rajesh K. Joshi.

In The Last Decade

Fields of papers published in National Academy Science Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in National Academy Science Letters. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in National Academy Science Letters.

Countries where authors publish in National Academy Science Letters

Since Specialization
Citations

This map shows the geographic impact of research published in National Academy Science Letters. 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 papers published in National Academy Science Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Academy Science Letters more than expected).

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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