Joykrushna Jena

802 total citations
47 papers, 507 citations indexed

About

Joykrushna Jena is a scholar working on Aquatic Science, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Joykrushna Jena has authored 47 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Aquatic Science, 22 papers in Nature and Landscape Conservation and 18 papers in Molecular Biology. Recurrent topics in Joykrushna Jena's work include Fish Biology and Ecology Studies (25 papers), Aquaculture Nutrition and Growth (22 papers) and Fish Ecology and Management Studies (18 papers). Joykrushna Jena is often cited by papers focused on Fish Biology and Ecology Studies (25 papers), Aquaculture Nutrition and Growth (22 papers) and Fish Ecology and Management Studies (18 papers). Joykrushna Jena collaborates with scholars based in India, United States and Italy. Joykrushna Jena's co-authors include Pratap Chandra Das, Gopa Mitra, Pravata Kumar Pradhan, Neeraj Sood, Kedar Nath Mohanta, Enric Gisbert, Narottam Prasad Sahu, Bijay Kumar Behera, Basanta Kumar Das and N.P. Sahu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Aquaculture.

In The Last Decade

Joykrushna Jena

44 papers receiving 477 citations

Peers

Joykrushna Jena
Joykrushna Jena
Citations per year, relative to Joykrushna Jena Joykrushna Jena (= 1×) peers Yongkai Tang

Countries citing papers authored by Joykrushna Jena

Since Specialization
Citations

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

Fields of papers citing papers by Joykrushna Jena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joykrushna Jena

This figure shows the co-authorship network connecting the top 25 collaborators of Joykrushna Jena. A scholar is included among the top collaborators of Joykrushna Jena 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 Joykrushna Jena. Joykrushna Jena 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.
Sarma, K.V.L.N.S., et al.. (2025). Mitogenome of Neolissochilus pnar, the largest cavernicolous species of Mahseer. Scientific Reports. 15(1). 8893–8893. 1 indexed citations
3.
Mohindra, Vindhya, et al.. (2024). Genome sequencing and assembly of Indian major carp, Cirrhinus mrigala (Hamilton, 1822). Scientific Data. 11(1). 898–898. 2 indexed citations
4.
Badireddy, Madhusudana Rao, et al.. (2023). Handbook on Antimicrobial Resistance.
5.
7.
Katneni, Vinaya Kumar, et al.. (2022). A Superior Contiguous Whole Genome Assembly for Shrimp (Penaeus indicus). Frontiers in Marine Science. 8. 14 indexed citations
8.
Shekhar, M. S., et al.. (2022). First Report of Chromosome-Level Genome Assembly for Flathead Grey Mullet, Mugil cephalus (Linnaeus, 1758). Frontiers in Genetics. 13. 911446–911446. 8 indexed citations
9.
Katneni, Vinaya Kumar, et al.. (2022). Isoform Sequencing Based Transcriptome Resource for Flathead Grey Mullet (Mugil cephalus). Frontiers in Marine Science. 9. 2 indexed citations
10.
Behera, Bijay Kumar, Biswanath Patra, Hirak Jyoti Chakraborty, et al.. (2020). Metagenome analysis from the sediment of river Ganga and Yamuna: In search of beneficial microbiome. PLoS ONE. 15(10). e0239594–e0239594. 35 indexed citations
12.
Behera, Bijay Kumar, Prasenjit Paria, Priyanka Das, et al.. (2015). Genetic differentiation in Indian Major Carp,Cirrhinus mrigala(Hamilton, 1822) from Indian Rivers, as revealed by direct sequencing analysis of mitochondrial Cytochromebregion. Mitochondrial DNA. 26(3). 334–336. 9 indexed citations
13.
14.
Srivastava, Prem Prakash, et al.. (2014). Impact of dietary fats on histological alterations in the kidney tissue of Asian catfish, Clarias batrachus (Linnaeus, 1758). International Journal of Fisheries and Aquatic Studies. 1(3). 147–151. 1 indexed citations
15.
Sarkar, Uttam Kumar, et al.. (2014). Pattern of Phenotypic Variation Among Three Populations of Indian Major Carp, Catla catla (Hamilton, 1822) Using Truss Network System in the Ganga Basin, India. Proceedings of the National Academy of Sciences India Section B Biological Sciences. 84(4). 1005–1012. 1 indexed citations
16.
Srivastava, Prem Prakash, et al.. (2013). Histological studies of the intestine in threatened Asian catfish (Clarias batrachus) fingerlings fed with animal or plant origin protein blended with glucosamine. International Journal of Fisheries and Aquatic Studies. 1(2). 50–55. 5 indexed citations
18.
Sahoo, Pramoda Kumar, et al.. (2011). Genetic diversity and species identification ofArgulusparasites collected from major aquaculture regions of India using RAPD-PCR. Aquaculture Research. 44(2). 220–230. 27 indexed citations
19.
Mohanta, Kedar Nath, et al.. (2008). Effect of three different oil cake-based diets on pond production performance of silver barb,Puntius gonionotus(Bleeker). Aquaculture Research. 39(11). 1131–1140. 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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