Sayani Mukherjee

52 total papers · 746 total citations
33 papers, 560 citations indexed

About

Sayani Mukherjee is a scholar working on Nutrition and Dietetics, Food Science and Plant Science. According to data from OpenAlex, Sayani Mukherjee has authored 33 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 5 papers in Food Science and 5 papers in Plant Science. Recurrent topics in Sayani Mukherjee's work include Prenatal Substance Exposure Effects (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). Sayani Mukherjee is often cited by papers focused on Prenatal Substance Exposure Effects (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Essential Oils and Antimicrobial Activity (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, B. R. Maiti, Shubhanjan Mitra, Hemanta Koley, Alakananda Hajra and Santinath Ghosh and has published in prestigious journals such as Journal of Neuroscience, Chemical Communications and Neuropsychopharmacology.

In The Last Decade

Sayani Mukherjee

32 papers receiving 536 citations

Author Peers

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

Author						Papers	Cites
Sayani Mukherjee	116	116	103	69	63	33	560
Chiu-Lan Hsieh	129 1.1×	197 1.7×	141 1.4×	33 0.5×	38 0.6×	26	618
André Lopes Saraiva	204 1.8×	70 0.6×	96 0.9×	40 0.6×	51 0.8×	34	661
Radosław Kujawski	186 1.6×	83 0.7×	130 1.3×	53 0.8×	14 0.2×	58	602
Gehad A. Abdel Jaleel	178 1.5×	73 0.6×	97 0.9×	71 1.0×	28 0.4×	53	624
Mustafa Ergül	149 1.3×	56 0.5×	143 1.4×	88 1.3×	32 0.5×	44	533
Adriana da Rocha Tomé	139 1.2×	73 0.6×	129 1.3×	37 0.5×	19 0.3×	29	615
Agnieszka Augustyniak	144 1.2×	61 0.5×	63 0.6×	59 0.9×	22 0.3×	14	535
Mst. Marium Begum	135 1.2×	53 0.5×	109 1.1×	42 0.6×	25 0.4×	40	656
Shital S. Panchal	127 1.1×	61 0.5×	110 1.1×	48 0.7×	16 0.3×	35	552
Emiliano Ricardo Vasconcelos Rios	152 1.3×	138 1.2×	110 1.1×	30 0.4×	21 0.3×	19	617

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).

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.

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

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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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