Prabuddha Manjula

433 total citations
39 papers, 267 citations indexed

About

Prabuddha Manjula is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, Prabuddha Manjula has authored 39 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Animal Science and Zoology, 14 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Prabuddha Manjula's work include Animal Nutrition and Physiology (18 papers), Genetic and phenotypic traits in livestock (12 papers) and Livestock and Poultry Management (9 papers). Prabuddha Manjula is often cited by papers focused on Animal Nutrition and Physiology (18 papers), Genetic and phenotypic traits in livestock (12 papers) and Livestock and Poultry Management (9 papers). Prabuddha Manjula collaborates with scholars based in South Korea, Sri Lanka and India. Prabuddha Manjula's co-authors include Jun Heon Lee, Dongwon Seo, S. Baghavathi Priya, Seung Hwan Lee, Shil Jin, Hee-Bok Park, Janet E. Fulton, Woon Kee Paek, Kang–Nyeong Heo and Dyah Maharani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Animal Science and Poultry Science.

In The Last Decade

Prabuddha Manjula

37 papers receiving 262 citations

Peers

Prabuddha Manjula

GENET

ASZ

ACS

Nicolas Bruneau France

Ali Akbar Masoudi Iran

Thobela Louis Tyasi South Africa

Wenlei Fan China

Fabio Colombo Italy

C. Li China

Matthieu Reichstadt France

Mang Liang China

Junkai Chen China

Masood Asadi Fozi Iran

Nicolas Bruneau France

Prabuddha Manjula

76 ×0.6

GENET

126 ×1.1

ASZ

65 ×1.5

15 ×0.7

ACS

12 ×0.5

Citations per year, relative to Prabuddha Manjula Prabuddha Manjula (= 1×) peers Nicolas Bruneau

Countries citing papers authored by Prabuddha Manjula

Since Specialization

Citations

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

Fields of papers citing papers by Prabuddha Manjula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabuddha Manjula

This figure shows the co-authorship network connecting the top 25 collaborators of Prabuddha Manjula. A scholar is included among the top collaborators of Prabuddha Manjula 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 Prabuddha Manjula. Prabuddha Manjula 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

Manjula, Prabuddha, et al.. (2024). Major histocompatibility complex genes exhibit a potential immunological role in mixed Eimeria-infected broiler cecum analyzed using RNA sequencing. Animal Bioscience. 37(6). 993–1000. 1 indexed citations

Manjula, Prabuddha, et al.. (2024). Diversity of MHC-B SNP haplotypes in the Vietnamese Ri chicken. Journal of Animal Science and Technology. 67(5). 982–988.

Manjula, Prabuddha, et al.. (2024). Identifying the potential of ovalbumin and its’ hydrolysates to be used in a liquid food system to develop functional beverages. Poultry Science. 104(1). 104515–104515. 1 indexed citations

Jayasena, Dinesh D., et al.. (2022). Comparison of meat quality traits in muscovy ducks reared under two different management systems. 9(2). 65–77. 1 indexed citations

Manjula, Prabuddha, et al.. (2022). Microsatellite Marker LEI0258 Variability in Six Indonesian Local Chicken Populations. Advances in biological sciences research. 19.

Manjula, Prabuddha, et al.. (2022). Application of next-generation sequencing for the high-resolution typing of MHC-B in Korean native chicken. Frontiers in Genetics. 13. 886376–886376. 1 indexed citations

Manjula, Prabuddha & S. Baghavathi Priya. (2022). An effective network intrusion detection and classification system for securing WSN using VGG-19 and hybrid deep neural network techniques. Journal of Intelligent & Fuzzy Systems. 43(5). 6419–6432. 12 indexed citations

Maharani, Dyah, et al.. (2021). Microsatellite-Based Genetic Diversity Among Three Duck Populations in Sumatera Island. SHILAP Revista de lepidopterología. 1 indexed citations

Manjula, Prabuddha, et al.. (2021). Comparison of Selection Signatures between Korean Native and Commercial Chickens Using 600K SNP Array Data. Genes. 12(6). 824–824. 8 indexed citations

10.

Manjula, Prabuddha, et al.. (2021). A retroviral insertion in the tyrosinase (TYR) gene is associated with the recessive white plumage color in the Yeonsan Ogye chicken. Journal of Animal Science and Technology. 63(4). 751–758. 12 indexed citations

11.

Manjula, Prabuddha, et al.. (2021). High Levels of Genetic Variation in MHC-Linked Microsatellite Markers from Native Chicken Breeds. Genes. 12(2). 240–240. 9 indexed citations

12.

Manjula, Prabuddha, AKFH Bhuiyan, Dongwon Seo, et al.. (2020). Genetic diversity and population structure of indigenous chicken of Bangladesh using microsatellite markers. Asian-Australasian Journal of Animal Sciences. 33(11). 1732–1740. 9 indexed citations

13.

Manjula, Prabuddha, Bertrand Bed’Hom, Dongwon Seo, et al.. (2020). Genetic diversity of MHC-B in 12 chicken populations in Korea revealed by single-nucleotide polymorphisms. Immunogenetics. 72(6-7). 367–379. 4 indexed citations

14.

Manjula, Prabuddha, Janet E. Fulton, Dongwon Seo, & Jun Heon Lee. (2020). Major histocompatibility complex B variability in Korean native chicken breeds. Poultry Science. 99(10). 4704–4713. 12 indexed citations

15.

Dananjaya, S.H.S., et al.. (2019). Growth performance and color enhancement of goldfish, Carassius auratus , fed diets containing natural dyes extracted from annatto ( Bixa orellana ) seeds. Journal of Applied Aquaculture. 32(1). 53–69. 5 indexed citations

16.

Lee, Seung Hwan, et al.. (2019). Mitochondrial DNA variation and phylogeography of native Mongolian goats. Asian-Australasian Journal of Animal Sciences. 33(6). 902–912. 14 indexed citations

17.

Maharani, Dyah, et al.. (2018). Genetic diversity and phylogenetic relationship analyzed by microsatellite markers in eight Indonesian local duck populations. Asian-Australasian Journal of Animal Sciences. 32(1). 31–37. 16 indexed citations

18.

Jin, Shil, Hee-Bok Park, Dongwon Seo, et al.. (2018). Identification of quantitative trait loci for the fatty acid composition in Korean native chicken. Asian-Australasian Journal of Animal Sciences. 31(8). 1134–1140. 10 indexed citations

19.

Manjula, Prabuddha, Hee-Bok Park, Dongwon Seo, et al.. (2017). Estimation of heritability and genetic correlation of body weight gain and growth curve parameters in Korean native chicken. Asian-Australasian Journal of Animal Sciences. 31(1). 26–31. 40 indexed citations

20.

Manjula, Prabuddha, et al.. (2015). Lipid profile but not highly sensitive C-reactive protein helps distinguish prehypertensives from normal subjects. Journal of Natural Science Biology and Medicine. 6(2). 347–347. 1 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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