Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
Indian medicinal plants : a compendium of 500 species
This map shows the geographic impact of Reena Nair'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 Reena Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reena Nair more than expected).
This network shows the impact of papers produced by Reena Nair. 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 Reena Nair. The network helps show where Reena Nair may publish in the future.
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All Works
5 of 5 papers shown
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Work
Indexed citations
1
Medicinal value of Bael, Aegle marmelos
2016·International Journal of Farm Sciences·Reena Nair,(unknown)
Reena Nair is a scholar working on Complementary and alternative medicine, General Agricultural and Biological Sciences and Biotechnology, having authored 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (1 paper), Herbal Medicine Research Studies (1 paper) and Food Science and Nutritional Studies (1 paper). The work is most often cited by research in Complementary and alternative medicine (285 citations), Pharmacology (225 citations) and Plant Science (534 citations). Reena Nair has collaborated with scholars based in India. Their work appears in journals such as DR-NTU (Nanyang Technological University), International Journal of Farm Sciences and Indian Journal Of Applied Research.
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.