Paramananda Das

960 total citations
78 papers, 594 citations indexed

About

Paramananda Das is a scholar working on Aquatic Science, Genetics and Molecular Biology. According to data from OpenAlex, Paramananda Das has authored 78 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Aquatic Science, 37 papers in Genetics and 33 papers in Molecular Biology. Recurrent topics in Paramananda Das's work include Fish Biology and Ecology Studies (35 papers), Genetic diversity and population structure (32 papers) and Aquaculture disease management and microbiota (28 papers). Paramananda Das is often cited by papers focused on Fish Biology and Ecology Studies (35 papers), Genetic diversity and population structure (32 papers) and Aquaculture disease management and microbiota (28 papers). Paramananda Das collaborates with scholars based in India, Taiwan and Chile. Paramananda Das's co-authors include Lakshman Sahoo, Prem Kumar Meher, P. Jayasankar, Ashoktaru Barat, J. K. Jena, George John, Pallipuram Jayasankar, Subrat Kumar Swain, Jitendra Kumar Sundaray and Rakesh Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Paramananda Das

73 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paramananda Das India 14 321 265 194 167 126 78 594
Kanako Fuji Japan 12 207 0.6× 355 1.3× 128 0.7× 224 1.3× 36 0.3× 17 624
Costas Batargias Greece 13 221 0.7× 287 1.1× 88 0.5× 68 0.4× 110 0.9× 31 519
Yongkai Tang China 14 200 0.6× 85 0.3× 120 0.6× 205 1.2× 71 0.6× 67 545
Kanta Das Mahapatra India 17 447 1.4× 154 0.6× 86 0.4× 411 2.5× 135 1.1× 40 750
Chang Wu China 16 216 0.7× 215 0.8× 104 0.5× 208 1.2× 88 0.7× 50 619
Seumas P. Walker New Zealand 18 498 1.6× 202 0.8× 219 1.1× 322 1.9× 227 1.8× 60 911
Wanshu Hong China 17 267 0.8× 175 0.7× 124 0.6× 215 1.3× 85 0.7× 34 672
Ruobo Gu China 13 167 0.5× 91 0.3× 136 0.7× 102 0.6× 60 0.5× 44 418
Dimitrios Loukovitis Greece 13 145 0.5× 189 0.7× 119 0.6× 40 0.2× 117 0.9× 33 412
Paul J. Seear United Kingdom 14 132 0.4× 97 0.4× 150 0.8× 159 1.0× 64 0.5× 20 517

Countries citing papers authored by Paramananda Das

Since Specialization
Citations

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

Fields of papers citing papers by Paramananda Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paramananda Das

This figure shows the co-authorship network connecting the top 25 collaborators of Paramananda Das. A scholar is included among the top collaborators of Paramananda Das 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 Paramananda Das. Paramananda Das 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
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Sahoo, Lakshman, et al.. (2024). Development of novel SSR markers and validation by assessing the genetic diversity of endangered Deccan mahseer, Tor khudree. Molecular Biology Reports. 51(1). 290–290. 2 indexed citations
4.
Chaudhari, Aparna, et al.. (2023). Identification of differentially expressed genes and SNPs linked to harvest body weight of genetically improved rohu carp, Labeo rohita. Frontiers in Genetics. 14. 1153911–1153911. 2 indexed citations
5.
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Kumar, Tarkeshwar, et al.. (2023). Classical morphology and DNA barcoding based identification of freshwater ectoparasite, Argulus foliaceus in rohu Labeo rohita. Indian Journal of Fisheries. 70(1). 1 indexed citations
7.
Kushwaha, Basdeo, N. S. Nagpure, Ravindra Kumar, et al.. (2023). Genome size estimation and its associations with body length, chromosome number and evolution in teleost fishes. Gene. 864. 147294–147294. 3 indexed citations
8.
Sahoo, Lakshman, et al.. (2016). Molecular characterization of Activin Receptor Type IIA and its expression during gonadal maturation and growth stages in rohu carp. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 203. 1–10. 3 indexed citations
9.
Kushwaha, Basdeo, Jyoti Prakash, Ravindra Kumar, et al.. (2016). Development and characterization of genic SSR markers from low depth genome sequence of Clarias batrachus (magur). Journal of Genetics. 95(3). 603–609. 11 indexed citations
10.
Sahoo, Lakshman, Aneeta Patel, Sushmita Mitra, et al.. (2015). Preliminary genetic linkage map of Indian major carp, Labeo rohita (Hamilton 1822) based on microsatellite markers. Journal of Genetics. 94(2). 271–277. 11 indexed citations
11.
Swain, Subrat Kumar, et al.. (2014). Genetic variation in Labeo fimbriatus (Cypriniformes: Cyprinidae) populations as revealed by partial cytochrome b sequences of mitochondrial DNA. Mitochondrial DNA Part A. 27(3). 1986–1990. 5 indexed citations
12.
Swain, Subrat Kumar, P. Jayasankar, J. K. Jena, et al.. (2013). Evaluation of genetic variation in Labeo fimbriatus (Bloch, 1795) populations using heterologous primers. Indian Journal of Fisheries. 60(1). 8752–8757. 2 indexed citations
13.
Sahu, Dinesh Kumar, Paramananda Das, Prem Kumar Meher, et al.. (2013). Identification of reproduction-related genes and SSR-markers through expressed sequence tags analysis of a monsoon breeding carp rohu, Labeo rohita (Hamilton). Gene. 524(1). 1–14. 12 indexed citations
14.
Das, Paramananda, et al.. (2012). Rapid and cost effective development of SSR markers using next generation sequencing in Indian major carp, Labeo rohita (Hamilton, 1822). Indian Journal of Fisheries. 59(3). 13 indexed citations
15.
Sahoo, Lakshman, Subrat Kumar Swain, P. Jayasankar, et al.. (2012). Complete mitochondrial genome ofLabeo rohita. Mitochondrial DNA. 23(6). 441–443. 8 indexed citations
16.
Das, Paramananda, et al.. (2009). Estimation of genome size in Indian major carps Labeo rohita (Hamilton), Catla catla (Hamilton), Cirrhinus mrigala (Hamilton) and Labeo calbasu (Hamilton) by Feulgen microdensitometry method.. Indian Journal of Fisheries. 56(1). 65–67. 9 indexed citations
17.
Das, Paramananda, et al.. (2009). Dynamic changes in immune-effector characteristics of Indian major CARP, ROHU (Labeo rohita) sensitized with Aeromonas hydrophila. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 30(1). 45–49. 8 indexed citations
18.
Das, Paramananda, Gunjan Tiwari, Sourabh Jain, & Lalit C. Garg. (2000). Nucleotide sequence of the river buffalo β-casein cDNA.. Journal of Animal Science. 78(5). 2 indexed citations
19.
Das, Paramananda & George John. (1999). Induction of sister chromatid exchanges and chromosome aberrations in vivo in Etroplus suratensis (Bloch) following exposure to organophosphorus pesticides. Toxicology Letters. 104(1-2). 111–116. 28 indexed citations
20.
Das, Paramananda, et al.. (1999). Molecular Cloning and Sequence Analysis of the cDNA Encoding Beta-Lactoglobulin inBubalus bubalis. DNA sequence. 10(2). 105–108. 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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