R. N. Chatterjee

2.3k total citations
141 papers, 1.7k citations indexed

About

R. N. Chatterjee is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, R. N. Chatterjee has authored 141 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Animal Science and Zoology, 45 papers in Genetics and 31 papers in Molecular Biology. Recurrent topics in R. N. Chatterjee's work include Animal Nutrition and Physiology (82 papers), Livestock and Poultry Management (59 papers) and Genetic and phenotypic traits in livestock (26 papers). R. N. Chatterjee is often cited by papers focused on Animal Nutrition and Physiology (82 papers), Livestock and Poultry Management (59 papers) and Genetic and phenotypic traits in livestock (26 papers). R. N. Chatterjee collaborates with scholars based in India, United States and Czechia. R. N. Chatterjee's co-authors include U. Rajkumar, T. K. Bhattacharya, Joseph A. Walder, A. Arnone, P.H. Rogers, M. Niranjan, Santosh Haunshi, M.V.L.N. Raju, Roxanne Y. Walder and B. L. N. Reddy and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

R. N. Chatterjee

127 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. N. Chatterjee India 19 898 403 394 334 334 141 1.7k
M.F.W. te Pas Netherlands 29 914 1.0× 148 0.4× 865 2.2× 366 1.1× 1.1k 3.4× 104 2.5k
Hehe Liu China 20 418 0.5× 134 0.3× 640 1.6× 125 0.4× 448 1.3× 187 1.5k
Sonia Métayer France 17 304 0.3× 86 0.2× 411 1.0× 121 0.4× 154 0.5× 18 1.3k
Laurie A. Jaeger United States 26 310 0.3× 82 0.2× 573 1.5× 159 0.5× 342 1.0× 40 2.1k
M. S. Mayes United States 13 462 0.5× 190 0.5× 237 0.6× 119 0.4× 167 0.5× 26 843
L. Ferrara Italy 22 158 0.2× 82 0.2× 535 1.4× 88 0.3× 482 1.4× 69 1.4k
S. G. Cornelius United States 20 667 0.7× 97 0.2× 268 0.7× 178 0.5× 209 0.6× 41 1.2k
U. Tiemann Germany 25 308 0.3× 56 0.1× 352 0.9× 50 0.1× 194 0.6× 64 2.1k
Ramona N. Pena Spain 24 751 0.8× 54 0.1× 620 1.6× 247 0.7× 1.0k 3.1× 106 1.8k
Bernard V. McInerney Australia 14 151 0.2× 56 0.1× 321 0.8× 39 0.1× 138 0.4× 20 884

Countries citing papers authored by R. N. Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by R. N. Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. N. Chatterjee. 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 R. N. Chatterjee. The network helps show where R. N. Chatterjee may publish in the future.

Co-authorship network of co-authors of R. N. Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of R. N. Chatterjee. A scholar is included among the top collaborators of R. N. Chatterjee 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 R. N. Chatterjee. R. N. Chatterjee 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.
Chatterjee, R. N., et al.. (2025). Bayesian Genetic Estimation Towards Optimising Selection Strategy for Higher Egg Production in White Leghorn Chickens. Journal of Animal Breeding and Genetics. 142(6). 617–629.
2.
Chatterjee, R. N., L. L. L. Prince, Santosh Haunshi, et al.. (2024). Delineating maternal influence in regulation of variance in major economic traits of White Leghorns: Bayesian insights. PLoS ONE. 19(7). e0307987–e0307987. 1 indexed citations
3.
Haunshi, Santosh, U. Rajkumar, L. L. L. Prince, et al.. (2022). Genetic parameters of growth traits, trend of production and reproduction traits, and meat quality status of Ghagus, an indigenous chicken of India. Tropical Animal Health and Production. 54(3). 170–170. 7 indexed citations
4.
5.
Prince, L. L. L., U. Rajkumar, B. L. N. Reddy, et al.. (2020). Genetic analysis of growth and egg production traits in synthetic colored broiler female line using animal model. Tropical Animal Health and Production. 52(6). 3153–3163. 8 indexed citations
6.
Chatterjee, R. N., et al.. (2017). Genetic study on the performance of Dahlem red layers. 26(1). 29–36. 2 indexed citations
7.
Padhi, M.K., R. N. Chatterjee, Santosh Haunshi, & U. Rajkumar. (2013). Effect of age on egg quality in chicken. Indian Journal of Poultry Science. 48(1). 122–125. 30 indexed citations
8.
Reddy, B. L. N., et al.. (2013). Genetic evaluation of short-term selection in synthetic coloured broiler male and female lines— Direct and correlated responses. The Indian Journal of Animal Sciences. 83(3). 285–289. 10 indexed citations
9.
Paswan, Chandan, et al.. (2013). Nucleotide variability in partial promoter of IGF-1 gene and its association with body weight in fast growing chicken. Journal of animal research. 3(1). 31–36. 1 indexed citations
10.
Padhi, M.K. & R. N. Chatterjee. (2012). Inheritance of body weight, shank length and production traits in PD1 (Vanaraja male line). Indian Journal of Poultry Science. 47(3). 269–273. 8 indexed citations
11.
Chatterjee, R. N., et al.. (2012). Spices scenario in the North Eastern States of India with special reference to production and marketing. Journal of Crop and Weed. 8(2). 109–112. 6 indexed citations
12.
Rajkumar, U., et al.. (2010). Evaluation of dwarf gene linked parameters in chicken.. The Indian Veterinary Journal. 87(10). 991–994. 1 indexed citations
13.
Panda, A.K., M.V.L.N. Raju, S.V. Rama Rao, et al.. (2010). Effect of lysine supplementation to low protein diet and its influence on production performance, egg quality and humoral immune response of White Leghorn layers. Indian Journal of Poultry Science. 45(3). 287–291. 5 indexed citations
14.
Bhattacharya, T. K., R. N. Chatterjee, Rupam Sharma, et al.. (2010). Genetic polymorphism in the promoter of prolactin gene in white Leghorn chicken.. The Indian Veterinary Journal. 87(4). 355–358. 1 indexed citations
15.
Rajkumar, U., M. Niranjan, B. L. N. Reddy, et al.. (2010). Evaluation of Naked neck broiler genotypes under tropical environment. The Indian Journal of Animal Sciences. 80(5). 463–466. 18 indexed citations
16.
Chatterjee, R. N., et al.. (2009). Genetic analysis of White Leghorn pure lines using RAPD-PCR and Immunocompetence.. Indian Journal of Poultry Science. 44(3). 277–282. 2 indexed citations
17.
Chatterjee, R. N., et al.. (2008). Inheritance of important economic traits in 3 pure lines and a control population of White Leghorn. The Indian Journal of Animal Sciences. 78(1). 4 indexed citations
18.
Panda, A.K., S.V. Rama Rao, M.V.L.N. Raju, et al.. (2007). Haemato-biochemico profile, humoral immune response and skeletal status of broiler chickens fed alkali processed karanj cake incorporated diet supplemented with methionine. Animal Nutrition and Feed Technology. 7(2). 169–175. 3 indexed citations
19.
Sunder, Jai, et al.. (2006). Antibiotic resistance pattern of bacterial isolatesfrom fishes of Andaman and Nicobar Islands. Indian Journal of Fisheries. 53(2). 231–235. 2 indexed citations
20.
Yadav, Shruti, Sonika Ahlawat, S. Senani, et al.. (2002). Haematological parameters of indigenous goat of Andaman. The Indian Veterinary Journal. 79(7). 665–667. 2 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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