Sayani Mukherjee

32 papers and 490 indexed citations i.

About

Sayani Mukherjee is a scholar working on Plant Science, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Sayani Mukherjee has authored 32 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 5 papers in Food Science and 5 papers in Nutrition and Dietetics. Recurrent topics in Sayani Mukherjee’s work include Prenatal Substance Exposure Effects (4 papers), Sulfur-Based Synthesis Techniques (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Sayani Mukherjee is often cited by papers focused on Prenatal Substance Exposure Effects (4 papers), Sulfur-Based Synthesis Techniques (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Sayani Mukherjee collaborates with scholars based in India, United States and Norway. Sayani Mukherjee's co-authors include Pubali Dhar, Sukanta Sen, Sanjukta Datta, Dipak K. Sarkar, Miguel Ángel Cabrera‐Pérez, Alakananda Hajra, B. R. Maiti, Shubhanjan Mitra, Santinath Ghosh and Santinath Ghosh and has published in prestigious journals such as Journal of Neuroscience, Chemical Communications and Neuropsychopharmacology.

In The Last Decade

Co-authorship network of co-authors of Sayani Mukherjee i

Fields of papers citing papers by Sayani Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sayani Mukherjee

Since Specialization
Citations

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