S. Banik

1.7k total citations
92 papers, 1.2k citations indexed

About

S. Banik is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, S. Banik has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 31 papers in Agronomy and Crop Science and 22 papers in Animal Science and Zoology. Recurrent topics in S. Banik's work include Genetic and phenotypic traits in livestock (36 papers), Livestock Management and Performance Improvement (21 papers) and Agricultural Economics and Practices (11 papers). S. Banik is often cited by papers focused on Genetic and phenotypic traits in livestock (36 papers), Livestock Management and Performance Improvement (21 papers) and Agricultural Economics and Practices (11 papers). S. Banik collaborates with scholars based in India and Nigeria. S. Banik's co-authors include Sanghamitra Bandyopadhyay, S. Ganguly, B.K. Dey, Soumen Naskar, Datta Madamwar, Rajeev Kumar Gupta, R. S. Gandhi, Nihar Ranjan Sahoo, P. K. Nayak and Apurba Ratan Ghosh and has published in prestigious journals such as Bioresource Technology, Scientific Reports and IEEE Access.

In The Last Decade

S. Banik

83 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Banik India	14	388	152	133	126	122	92	1.2k
Zhenjun Sun China	22	256 0.7×	138 0.9×	51 0.4×	40 0.3×	218 1.8×	83	1.5k
Henry Joseph Oduor Ogola South Africa	20	206 0.5×	116 0.8×	149 1.1×	108 0.9×	170 1.4×	51	1.3k
Romualdo Shigueo Fukushima Brazil	13	455 1.2×	492 3.2×	57 0.4×	302 2.4×	291 2.4×	39	1.2k
Maria Márcia Pereira Sartori Brazil	17	401 1.0×	132 0.9×	48 0.4×	67 0.5×	101 0.8×	125	1.1k
Eeva‐Liisa Nurmiaho‐Lassila Finland	22	763 2.0×	178 1.2×	103 0.8×	68 0.5×	575 4.7×	36	2.3k
Márcio Henrique Pereira Barbosa Brazil	23	1.2k 3.2×	351 2.3×	120 0.9×	156 1.2×	150 1.2×	127	1.7k
Lenka Luptáková Slovakia	22	746 1.9×	177 1.2×	57 0.4×	31 0.2×	357 2.9×	82	1.9k
Yanmei Sun China	25	494 1.3×	132 0.9×	29 0.2×	51 0.4×	363 3.0×	50	1.7k
Leen De Gelder Belgium	19	467 1.2×	73 0.5×	181 1.4×	48 0.4×	323 2.6×	33	1.3k

Countries citing papers authored by S. Banik

Since Specialization

Citations

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

Fields of papers citing papers by S. Banik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Banik, S., et al.. (2024). Generation-wise performance evaluation of Ghoongroo pig: An effort to improve the productivity. The Indian Journal of Animal Sciences. 94(11). 960–965. 1 indexed citations

De, Arun Kumar, Dibyendu Chakraborty, P. Perumal, et al.. (2023). Supplementing turmeric rhizome powder in growing Andaman local pigs: a conflated approach for therapy evaluation. Tropical Animal Health and Production. 55(1). 45–45. 3 indexed citations

Kumar, Satish, Bharat Bhushan, Amit Kumar, et al.. (2023). Elucidation of novel SNPs affecting immune response to classical swine fever vaccination in pigs using immunogenomics approach. Veterinary Research Communications. 48(2). 941–953. 2 indexed citations

Banik, S., et al.. (2021). Graph Synthesis for Pig Breed Classification From Muzzle Images. IEEE Access. 9. 127240–127258. 3 indexed citations

Banik, S., et al.. (2021). EFFECT OF DIETARY INCLUSION OF MUGA SILKWORM PUPA MEAL ON THE GROWTH PERFORMANCE OF LARGE WHITE YORKSHIRE GROWER PIGS. 9(5). 2 indexed citations

De, Arun Kumar, Samiran Mondal, P. Perumal, et al.. (2020). Host-Parasite Interaction in Sarcoptes scabiei Infestation in Porcine Model with a Preliminary Note on Its Genetic Lineage from India. Animals. 10(12). 2312–2312. 5 indexed citations

Naskar, Soumen, et al.. (2018). Advances in Genetic Improvement of Meat Quality Traits in Pig. 4(2). 177–185. 1 indexed citations

Banik, S., et al.. (2018). Effect of Supplementation of Azolla ( Azolla carolini ) Meal on Performance of Crossbred (Hampshire × Ghungroo) Pigs. Indian Journal of Animal Nutrition. 35(4). 469–469.

Banik, S., et al.. (2013). Construction of growth band for early selection of indigenous pigs in India. Applied Biological Research. 15(1). 73–77. 7 indexed citations

10.

Gupta, Aakriti & S. Banik. (2012). Induced Mutation And Selection Of A High Yielding Strain Of Micrococcus Glutamicus For L-Lysine Production. International Journal of Pharma and Bio Sciences. 3(2). 35–42. 1 indexed citations

11.

Banik, S. & R. S. Gandhi. (2010). Estimation of genetic parameters in Sahiwal cattle using single and multi-trait restricted maximum likelihood method.. The Indian Journal of Animal Sciences. 80(3). 266–268. 11 indexed citations

12.

Banik, S. & R. S. Gandhi. (2010). Sire evaluation using single and multiple trait animal models in Sahiwal cattle.. The Indian Journal of Animal Sciences. 80(3). 269–270. 3 indexed citations

13.

Misra, S. S., et al.. (2009). Characterization and evaluation of Karnah sheep of Kashmir.. Indian Journal of Small Ruminants (The). 15(2). 172–177. 1 indexed citations

14.

Banik, S., et al.. (2008). COMPARATIVE PERFORMANCE OF DIFFERENT BREEDS OF SHEEP ON WOOL PRODUCTION AND QUALITY TRAITS IN KASHMIR VALLEY. Indian Journal of Animal Research. 42(1). 63–65. 1 indexed citations

15.

Sarkar, Tanmay, et al.. (2008). Mortality pattern in exotic and crossbred sheep at an organized farm of Kashmir valley.. Indian Journal of Small Ruminants (The). 14(2). 218–223. 2 indexed citations

16.

Naskar, Soumen, et al.. (2006). Contribution of different characters to lactation milk yield of Sahiwal cattle-A path analysis approach. The Indian Journal of Animal Sciences. 76(8). 4 indexed citations

17.

Naskar, Soumen, et al.. (2005). TOTAL DETERMINATION OF CALVING INTERVAL BY PATH ANALYSIS IN SAHIWAL CATTLE. Indian Journal of Animal Research. 39(1). 45–48. 2 indexed citations

18.

Banik, S.. (2004). Jute caddis — A new substrate for biogas production. Journal of Scientific & Industrial Research. 63(9). 747–751. 8 indexed citations

19.

Banik, S., et al.. (2000). Effect of Supplementation of Rice Straw with Biogas Residual Slurry Manure on the Yield, Protein and Mineral Contents of Volvariella volvacea Mushroom. Journal of Scientific & Industrial Research. 59(5). 407–412. 19 indexed citations

20.

Banik, S., et al.. (1997). Comparative efficacy of different phosphatic fertilizers and phospho-bacterium (Bacillus firmus) on rice (Oryza sativa) in an acid soil*. The Indian Journal of Agricultural Sciences. 67(11). 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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