S. Nandi

2.0k total citations
100 papers, 1.5k citations indexed

About

S. Nandi is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Agronomy and Crop Science. According to data from OpenAlex, S. Nandi has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Public Health, Environmental and Occupational Health, 48 papers in Reproductive Medicine and 46 papers in Agronomy and Crop Science. Recurrent topics in S. Nandi's work include Reproductive Biology and Fertility (71 papers), Reproductive Physiology in Livestock (38 papers) and Sperm and Testicular Function (37 papers). S. Nandi is often cited by papers focused on Reproductive Biology and Fertility (71 papers), Reproductive Physiology in Livestock (38 papers) and Sperm and Testicular Function (37 papers). S. Nandi collaborates with scholars based in India, Hungary and United States. S. Nandi's co-authors include P. S. P. Gupta, J.P. Ravindra, B.M. Manjunatha, V. Girish Kumar, Sukanta Mondal, M Devaraj, Manmohan Singh Chauhan, Sellappan Selvaraju, P. Palta and K Suresh and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Applied Microbiology and Biotechnology and Biology of Reproduction.

In The Last Decade

S. Nandi

94 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Nandi India 22 1.1k 795 485 342 302 100 1.5k
Cecilia Cristina Furnus Argentina 22 1.4k 1.2× 998 1.3× 231 0.5× 194 0.6× 424 1.4× 75 1.8k
Veerle Van Hoeck Belgium 19 730 0.6× 368 0.5× 683 1.4× 326 1.0× 190 0.6× 42 1.3k
A. C. S. Castilho Brazil 17 404 0.4× 213 0.3× 330 0.7× 217 0.6× 267 0.9× 72 822
Laritza Ferreira de Lima Brazil 18 675 0.6× 483 0.6× 163 0.3× 103 0.3× 187 0.6× 80 875
D.G. de Matos Argentina 15 1.0k 0.9× 744 0.9× 131 0.3× 149 0.4× 303 1.0× 27 1.2k
Samuel Gebremedhn Germany 18 378 0.3× 216 0.3× 212 0.4× 122 0.4× 561 1.9× 35 1.1k
Małgorzata Duda Poland 17 286 0.3× 217 0.3× 144 0.3× 182 0.5× 226 0.7× 60 726
Kou Sueoka Japan 14 348 0.3× 267 0.3× 84 0.2× 107 0.3× 201 0.7× 39 781
Jean-Claude Soufir France 19 491 0.4× 728 0.9× 41 0.1× 116 0.3× 210 0.7× 37 1.2k
Regina Wixon United States 10 666 0.6× 811 1.0× 46 0.1× 169 0.5× 95 0.3× 12 994

Countries citing papers authored by S. Nandi

Since Specialization
Citations

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

Fields of papers citing papers by S. Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nandi

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

All Works

20 of 20 papers shown
1.
Singh, Poonam, et al.. (2024). Genistein effect in cultured ovine ovarian granulosa cells. Journal of Biochemical and Molecular Toxicology. 38(4). e23697–e23697.
2.
Nandi, S., et al.. (2023). Global DNA methylation, DNA methyltransferase and stress‐related gene expression in ovine oocytes and embryos after exposure to metabolic stressors. Reproduction in Domestic Animals. 58(6). 717–725. 1 indexed citations
3.
Gupta, P. S. P., et al.. (2021). Regulatory role of Wnt signal in the oestradiol synthesis of different size categories of ovarian follicles in buffalo (Bubalus bubalis). Reproduction in Domestic Animals. 57(4). 368–380. 4 indexed citations
4.
Gupta, P. S. P., Patricia A. Johnson, K. Murali Krishna, et al.. (2021). Effect of retinol as antioxidant on the post‐thaw viability and the expression of apoptosis and developmental competence‐related genes of vitrified preantral follicles in buffalo (Bubalus bubalis). Reproduction in Domestic Animals. 56(11). 1446–1455. 2 indexed citations
5.
Johnson, Patricia A., et al.. (2021). Copper and Selenium stimulates CYP19A1 expression in caprine ovarian granulosa cells: possible involvement of AKT and WNT signalling pathways. Molecular Biology Reports. 48(4). 3515–3527. 8 indexed citations
6.
Mondal, Sukanta, et al.. (2018). Molecular cloning and expression of FGF2 gene in pre‐implantation developmental stages of in vitro‐produced sheep embryos. Reproduction in Domestic Animals. 53(4). 895–903. 9 indexed citations
7.
Nandi, S., et al.. (2017). Nutritional and metabolic stressors on ovine oocyte development and granulosa cell functions in vitro. Cell Stress and Chaperones. 23(3). 357–371. 15 indexed citations
8.
Nandi, S., et al.. (2014). Effect of GDF-9 and bFGF in combination on caprine granulosa cell growth parameters in vitro. The Indian Journal of Animal Sciences. 84(1). 32–33. 1 indexed citations
9.
Nandi, S., et al.. (2014). Effect of GDF-9 and bFGF in combination on caprine granulosa cell growth parameters in vitro. The Indian Journal of Animal Sciences. 84(1). 32–33. 1 indexed citations
10.
11.
Suresh, Kuralayanapalya Puttahonnappa, S. Nandi, & Surajit Mondal. (2013). Ammonia and urea levels in blood and ovarian follicular fluid in cattle fed with normal and protein rich or imbalanced diet: A meta-analysis. The Indian Journal of Animal Sciences. 83(5). 4 indexed citations
12.
Nandi, S., et al.. (2010). In vitro development of buffalo preantral follicles in co-culture with cumulus or granulosa cells.. Veterinarski arhiv. 80(1). 41–50. 4 indexed citations
13.
Nandi, S., P. S. P. Gupta, & J.P. Ravindra. (2007). Phosphorus, protein and DNA contents of buffalo oocytes before and after in vitro maturation: effects of IGF-I. The Indian Journal of Animal Sciences. 77(9). 1 indexed citations
14.
Nandi, S., et al.. (2006). IN VITRO PRODUCTION OF BOVINE EMBRYOS : WE NEED TO STOP OR PROCEED - A REVIEW. Agricultural Reviews. 27(2). 122–129. 11 indexed citations
15.
Nandi, S., et al.. (2004). In vitro embryo production in cattle and buffalo: present status, challenges and outlook. The Indian Journal of Animal Sciences. 74(2). 1 indexed citations
16.
Gupta, P. S. P., et al.. (2003). Oocyte recovery rates in relation to morphology and weight of the ovaries in buffaloes. Indian Journal of Animal Research. 37(2). 147–148. 1 indexed citations
17.
Nandi, S., et al.. (2003). Use of Cystic Follicular Fluid for Buffalo Oocyte Maturation in Vitro. Indian Journal of Animal Research. 37(1). 40–43. 2 indexed citations
18.
Nandi, S., et al.. (2002). Effect of antibiotics on buffalo oocytes matured and fertilized in vitro. The Indian Journal of Animal Sciences. 72(1). 64–65. 1 indexed citations
19.
Nandi, S., et al.. (2001). Effect of somatic cells monolayer on maturation of buffalo oocytes in vitro. The Indian Journal of Animal Sciences. 71(10). 10 indexed citations
20.
Nandi, S., Manmohan Singh Chauhan, & P. Palta. (2000). Quantity and quality of oocytes aspirated from buffalo ovaries: effect of presence of a corpus luteum.. The Indian Journal of Animal Sciences. 70(5). 486–487. 3 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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