Sayani Mukherjee
- Molecular Biology
- Food Science top 10%
- Plant Science
- Organic Chemistry
- Insect Science top 10%
- Co-authors
- Pubali DharSukanta SenSanjukta DattaDipak K. SarkarMiguel Ángel Cabrera‐PérezSantinath GhoshAlakananda HajraB. R. Maiti
- Topics
- Prenatal Substance Exposure Effects (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)Fatty Acid Research and Health (3 papers)
- Partner nations
- IndiaNorwayUnited States
In The Last Decade
Sayani Mukherjee
32 papers receiving 542 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 116
- Food Science 116
- Plant Science 103
- Organic Chemistry 69
- Insect Science 63
Countries citing papers authored by Sayani Mukherjee
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).
Fields of papers citing papers by Sayani Mukherjee
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.
Co-authorship network of co-authors of Sayani Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Sayani Mukherjee. A scholar is included among the top collaborators of Sayani Mukherjee 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 Sayani Mukherjee. Sayani Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 31 | |
| 7 | 13 | |
| 8 | 43 | |
| 9 | 48 | |
| 10 | 4 | |
| 11 | Biochemical assessment of extract from Oxalis corniculata L.: Its role in food preservation, antimicrobial and antioxidative paradigms using in situ and in vitro models | 5 |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 32 | |
| 15 | 73 | |
| 16 | 41 | |
| 17 | 15 | |
| 18 | 70 | |
| 19 | Antibiotic sensitivity of Vibrio cholerae other than O serotype 1 (so-called NAG vibrios). | 4 |
| 20 | 5 |
About Sayani Mukherjee
Sayani Mukherjee is a scholar working on Endocrine and Autonomic Systems, Surfaces, Coatings and Films and Neurology, having authored 34 papers that have together received 566 indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Biochemistry (56 citations), Food Science (116 citations) and Biological Psychiatry (15 citations). Sayani Mukherjee has collaborated with scholars based in India, Norway and United States. Frequent co-authors include Pubali Dhar, Sukanta Sen, Sanjukta Datta, Dipak K. Sarkar, Miguel Ángel Cabrera‐Pérez, Santinath Ghosh, Alakananda Hajra, B. R. Maiti, Hemanta Koley and Shubhanjan Mitra. Their work appears in journals such as Journal of Neuroscience, Chemical Communications and Neuropsychopharmacology.
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.