Amruta Mohapatra

480 total citations
27 papers, 365 citations indexed

About

Amruta Mohapatra is a scholar working on Immunology, Ecology and Aquatic Science. According to data from OpenAlex, Amruta Mohapatra has authored 27 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 6 papers in Ecology and 5 papers in Aquatic Science. Recurrent topics in Amruta Mohapatra's work include Aquaculture disease management and microbiota (18 papers), Invertebrate Immune Response Mechanisms (10 papers) and Parasite Biology and Host Interactions (5 papers). Amruta Mohapatra is often cited by papers focused on Aquaculture disease management and microbiota (18 papers), Invertebrate Immune Response Mechanisms (10 papers) and Parasite Biology and Host Interactions (5 papers). Amruta Mohapatra collaborates with scholars based in India and Ivory Coast. Amruta Mohapatra's co-authors include Pramoda Kumar Sahoo, Jyotirmaya Mohanty, Banya Kar, Sweta Das, Aparna Dixit, Lalit C. Garg, S Pattanayak, Thangapalam Jawahar Abraham, T. Raja Swaminathan and Neeraj Sood and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Amruta Mohapatra

23 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amruta Mohapatra India 12 270 128 70 64 54 27 365
Patricia A. Noguera United Kingdom 11 212 0.8× 134 1.0× 43 0.6× 58 0.9× 49 0.9× 22 335
Wilson Gómez Manrique Brazil 11 301 1.1× 84 0.7× 48 0.7× 149 2.3× 47 0.9× 40 453
Jeffrey J. Havixbeck Canada 10 351 1.3× 66 0.5× 37 0.5× 88 1.4× 37 0.7× 16 441
Jillian D. Westcott Canada 12 159 0.6× 210 1.6× 67 1.0× 75 1.2× 19 0.4× 15 333
Raquel Aranguren Spain 12 261 1.0× 106 0.8× 74 1.1× 82 1.3× 17 0.3× 21 422
Marco Rozas‐Serri Chile 11 298 1.1× 130 1.0× 54 0.8× 50 0.8× 72 1.3× 21 353
Gavin W. Glenney United States 7 376 1.4× 41 0.3× 71 1.0× 100 1.6× 65 1.2× 15 482
Gyri T. Haugland Norway 16 460 1.7× 153 1.2× 219 3.1× 141 2.2× 56 1.0× 40 695
Ana Paula Losada Spain 15 412 1.5× 159 1.2× 89 1.3× 213 3.3× 159 2.9× 40 640
T.A. Jose Priya India 9 442 1.6× 94 0.7× 99 1.4× 113 1.8× 17 0.3× 17 530

Countries citing papers authored by Amruta Mohapatra

Since Specialization
Citations

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

Fields of papers citing papers by Amruta Mohapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amruta Mohapatra

This figure shows the co-authorship network connecting the top 25 collaborators of Amruta Mohapatra. A scholar is included among the top collaborators of Amruta Mohapatra 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 Amruta Mohapatra. Amruta Mohapatra 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.
Mohapatra, Amruta & Bhupen Deka. (2025). A new error analysis of an explicit skeletal discontinuous Galerkin scheme for time-dependent Maxwell equations. Applied Numerical Mathematics. 217. 18–42.
2.
Mohapatra, Amruta & Bhupen Deka. (2025). A non conforming temporal stabilizer-free finite element method for non-coercive eddy current problems. Journal of Computational and Applied Mathematics. 474. 116984–116984.
3.
Das, Kirti Ranjan, et al.. (2025). Probiotics Mitigate High-cholesterol Diet-driven Fatty Liver and Pancreatic Cancer by Restoring Macrophage Homeostasis. Cellular and Molecular Gastroenterology and Hepatology. 20(3). 101644–101644.
4.
Mohapatra, Amruta, Raman Kumar, & Bhupen Deka. (2024). An Efficient and Robust Weak Galerkin Scheme for Solving the 2D/3D H(curl;Ω)‐Elliptic Interface Problems With High‐Order Elements. Numerical Methods for Partial Differential Equations. 41(1).
5.
Behera, P., et al.. (2022). Therapeutic role of N-acetyl cysteine (NAC) for the treatment and/or management of SARS-CoV-2-induced lung damage in hamster model. European Journal of Pharmacology. 938. 175392–175392. 6 indexed citations
6.
Sahoo, Pramoda Kumar, et al.. (2021). Vaccination approach to prevent Argulus siamensis infection-success, challenges and preparedness. SHILAP Revista de lepidopterología. 2. 100023–100023. 6 indexed citations
7.
8.
Mohapatra, Amruta, Aparna Dixit, Lalit C. Garg, & Pramoda Kumar Sahoo. (2019). Hepcidin gene of Indian major carp, Labeo rohita: Molecular, structural and functional characterization, and antibacterial activity of recombinant hepcidin. Aquaculture. 511. 734218–734218. 11 indexed citations
9.
10.
Mohapatra, Amruta, et al.. (2018). Transcriptional analysis of immune-relevant genes in the mucus of Labeo rohita, experimentally infected with Argulus siamensis. Acta Parasitologica. 63(1). 125–133. 10 indexed citations
11.
Mohapatra, Amruta, et al.. (2018). Identification and functional characterization of a g-type lysozyme gene of Labeo rohita, an Indian major carp species. Developmental & Comparative Immunology. 92. 87–98. 22 indexed citations
12.
Mohapatra, Amruta, et al.. (2017). Labeo rohitaandArgulus siamensisinfection: Host size, local inflammatory reaction and immunity modulate ectoparasite load on fish. Aquaculture Research. 49(2). 757–766. 11 indexed citations
13.
14.
Kar, Banya, et al.. (2016). Variation in susceptibility pattern of fish to Argulus siamensis: Do immune responses of host play a role?. Veterinary Parasitology. 221. 76–83. 14 indexed citations
15.
16.
Kar, Banya, Amruta Mohapatra, Jyotirmaya Mohanty, & Pramoda Kumar Sahoo. (2015). Transcriptional changes in three immunoglobulin isotypes of rohu, Labeo rohita in response to Argulus siamensis infection. Fish & Shellfish Immunology. 47(1). 28–33. 23 indexed citations
17.
Das, Sweta, Amruta Mohapatra, Banya Kar, & Pramoda Kumar Sahoo. (2014). Molecular characterization of interleukin 15 mRNA from rohu, Labeo rohita (Hamilton): Its prominent role during parasitic infection as indicated from infection studies. Fish & Shellfish Immunology. 43(1). 25–35. 19 indexed citations
18.
Das, Sweta, Amruta Mohapatra, & Pramoda Kumar Sahoo. (2014). Expression analysis of heat shock protein genes during Aeromonas hydrophila infection in rohu, Labeo rohita, with special reference to molecular characterization of Grp78. Cell Stress and Chaperones. 20(1). 73–84. 37 indexed citations
19.
Sahoo, Pramoda Kumar, Banya Kar, Amruta Mohapatra, & Jyotirmaya Mohanty. (2013). De novo whole transcriptome analysis of the fish louse, Argulus siamensis: First molecular insights into characterization of Toll downstream signalling molecules of crustaceans. Experimental Parasitology. 135(3). 629–641. 22 indexed citations
20.
Chattopadhyay, Parthaprasad, Moinak Banerjee, Chitra Sarkar, et al.. (1995). Infrequent alteration of the c-myc gene in human glial tumours associated with increased numbers of c-myc positive cells.. PubMed. 11(12). 2711–4. 9 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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