473 total citations 38 papers, 305 citations indexed
About
Sujit Saha is a scholar working on Genetics, Surgery and Agronomy and Crop Science.
According to data from OpenAlex, Sujit Saha has authored 38 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Surgery and 9 papers in Agronomy and Crop Science. Recurrent topics in Sujit Saha's work include Genetic and phenotypic traits in livestock (13 papers), Livestock Management and Performance Improvement (7 papers) and Liver Disease and Transplantation (4 papers). Sujit Saha is often cited by papers focused on Genetic and phenotypic traits in livestock (13 papers), Livestock Management and Performance Improvement (7 papers) and Liver Disease and Transplantation (4 papers). Sujit Saha collaborates with scholars based in India, United Kingdom and Bangladesh. Sujit Saha's co-authors include Arvinder S. Soin, Sanjay Kumar Yadav, Prashant Bhangui, Narendra S. Choudhary, Sanjiv Saigal, Neeraj Saraf, Amit Rastogi, Md. Taohidul Islam, Navin Kumar and MA Samad and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Heart Journal and British journal of surgery.
In The Last Decade
Sujit Saha
36 papers
receiving
284 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Sujit Saha'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 Sujit Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Saha more than expected).
This network shows the impact of papers produced by Sujit Saha. 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 Sujit Saha. The network helps show where Sujit Saha may publish in the future.
Co-authorship network of co-authors of Sujit Saha
This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Saha.
A scholar is included among the top collaborators of Sujit Saha 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 Sujit Saha. Sujit Saha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Su, Guosheng, et al.. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. Proceedings of the World Congress on Genetics Applied to Livestock Production. 411.5 indexed citations
Saha, Sujit, et al.. (2016). COMPARATIVE STUDY OF PLASMA MEMBRANE INTEGRITY OF SPERMATOZOA BY USING HOS MEDIUM AND DISTILLED WATER AND THEIR RELATION WITH POST THAW MOTILITY.1 indexed citations
Saha, Sujit, B. K. Joshi, & Avtar Singh. (2010). Generation-wise genetic evaluation of various first lactation traits and herd life in Karan Fries cattle.. The Indian Journal of Animal Sciences. 80(5). 451–456.8 indexed citations
16.
Shukla, Manju, et al.. (2010). Effect of season on sperm morphology in different breeds of cattle and Murrah buffaloes.. 6(1). 1–4.2 indexed citations
17.
Saha, Sujit, B. K. Joshi, & Avtar Singh. (2009). Incidence and consequences of inbreeding in Karan Fries cattle.. The Indian Journal of Animal Sciences. 79(6). 574–576.2 indexed citations
18.
Saha, Sujit & D. K. Sadana. (2000). Effect of genetic and non-genetic factors on reproductive traits in Murrah buffaloes.. Indian Journal of Animal Health. 39(1). 41–42.6 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.