Srijani Basu

422 total citations
13 papers, 240 citations indexed

About

Srijani Basu is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Srijani Basu has authored 13 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Srijani Basu's work include Gut microbiota and health (5 papers), Diet, Metabolism, and Disease (4 papers) and Immunotherapy and Immune Responses (3 papers). Srijani Basu is often cited by papers focused on Gut microbiota and health (5 papers), Diet, Metabolism, and Disease (4 papers) and Immunotherapy and Immune Responses (3 papers). Srijani Basu collaborates with scholars based in United States, India and Singapore. Srijani Basu's co-authors include Vijay Soni, Sneh Lata Gupta, Rishi Kumar Jaiswal, Xi Kathy Zhou, Andrew J. Dannenberg, David C. Montrose, Melanie Johncilla, Hanhan Wang, Satyajit Rath and Vineeta Bal and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Carcinogenesis.

In The Last Decade

Srijani Basu

11 papers receiving 233 citations

Peers

Srijani Basu
Jide He China
Srijani Basu
Citations per year, relative to Srijani Basu Srijani Basu (= 1×) peers Jide He

Countries citing papers authored by Srijani Basu

Since Specialization
Citations

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

Fields of papers citing papers by Srijani Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srijani Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Srijani Basu. A scholar is included among the top collaborators of Srijani Basu 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 Srijani Basu. Srijani Basu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Basu, Srijani, et al.. (2025). Unresolved alterations in bile acid composition and dyslipidemia in maternal and cord blood after UDCA treatment for intrahepatic cholestasis of pregnancy. American Journal of Physiology-Gastrointestinal and Liver Physiology. 328(4). G364–G376.
2.
Gupta, Suman, Sneh Lata Gupta, Vineeta Bal, et al.. (2023). IgA Determines Bacterial Composition in the Gut. Crohn s & Colitis 360. 5(3). otad030–otad030. 5 indexed citations
3.
Gupta, Sneh Lata, Srijani Basu, Vijay Soni, & Rishi Kumar Jaiswal. (2022). Immunotherapy: an alternative promising therapeutic approach against cancers. Molecular Biology Reports. 49(10). 9903–9913. 56 indexed citations
4.
Gupta, Sneh Lata, et al.. (2022). B-Cell-Based Immunotherapy: A Promising New Alternative. Vaccines. 10(6). 879–879. 27 indexed citations
5.
Bhattacharya, Chandrima, Braden Tierney, Krista Ryon, et al.. (2022). Supervised Machine Learning Enables Geospatial Microbial Provenance. Genes. 13(10). 1914–1914. 2 indexed citations
6.
Basu, Srijani, Xi Kathy Zhou, Hanhan Wang, et al.. (2021). Dietary interventions to prevent high-fructose diet–associated worsening of colitis and colitis-associated tumorigenesis in mice. Carcinogenesis. 42(6). 842–852. 23 indexed citations
7.
Basu, Srijani, Catherine Liu, Xi Kathy Zhou, et al.. (2021). GLUT5 is a determinant of dietary fructose-mediated exacerbation of experimental colitis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 321(2). G232–G242. 13 indexed citations
8.
Montrose, David C., et al.. (2020). Induction of colitis-associated neoplasia in mice using azoxymethane and dextran sodium sulfate. Methods in cell biology. 163. 123–135. 1 indexed citations
9.
Montrose, David C., Srijani Basu, Xi Kathy Zhou, et al.. (2020). Dietary Fructose Alters the Composition, Localization, and Metabolism of Gut Microbiota in Association With Worsening Colitis. Cellular and Molecular Gastroenterology and Hepatology. 11(2). 525–550. 74 indexed citations
10.
Basu, Srijani, David C. Montrose, Xi Kathy Zhou, et al.. (2020). Abstract 3461: Psyllium protects against high fructose diet induced exacerbation of colitis and colitis associated colorectal carcinogenesis. Cancer Research. 80(16_Supplement). 3461–3461.
11.
Gupta, Suman, Srijani Basu, Vineeta Bal, Satyajit Rath, & Anna George. (2019). Gut IgA abundance in adult life is a major determinant of resistance to dextran sodium sulfate‐colitis and can compensate for the effects of inadequate maternal IgA received by neonates. Immunology. 158(1). 19–34. 17 indexed citations
12.
Sarkar, Surajit, et al.. (2016). Probiotics: A Way of Value Addition in Functional Food. Zenodo (CERN European Organization for Nuclear Research). 290–293. 16 indexed citations
13.
Basu, Srijani, et al.. (2016). Constitutive CD40 Signaling Calibrates Differentiation Outcomes in Responding B Cells via Multiple Molecular Pathways. The Journal of Immunology. 197(3). 761–770. 6 indexed citations

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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