Ramya Kumar

1.0k total citations
31 papers, 758 citations indexed

About

Ramya Kumar is a scholar working on Immunology, Molecular Biology and Aquatic Science. According to data from OpenAlex, Ramya Kumar has authored 31 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Aquatic Science. Recurrent topics in Ramya Kumar's work include Invertebrate Immune Response Mechanisms (16 papers), Aquaculture disease management and microbiota (14 papers) and Aquaculture Nutrition and Growth (8 papers). Ramya Kumar is often cited by papers focused on Invertebrate Immune Response Mechanisms (16 papers), Aquaculture disease management and microbiota (14 papers) and Aquaculture Nutrition and Growth (8 papers). Ramya Kumar collaborates with scholars based in Taiwan, India and Japan. Ramya Kumar's co-authors include Han‐Ching Wang, Tze Hann Ng, C. Saranya, A. Panigrahi, M. Sundaram, Subhendu Kumar Otta, Yu-Hsuan Chang, Shih‐Shun Lin, Chun‐Hung Liu and R. Saraswathy and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Ramya Kumar

29 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramya Kumar Taiwan 15 555 338 135 125 84 31 758
Píndaro Álvarez-Ruiz Mexico 15 447 0.8× 316 0.9× 80 0.6× 52 0.4× 69 0.8× 37 631
Bonny Bayot Ecuador 12 430 0.8× 188 0.6× 86 0.6× 167 1.3× 95 1.1× 27 548
C. Limsuwan Thailand 12 536 1.0× 272 0.8× 109 0.8× 100 0.8× 201 2.4× 54 726
Marc Le Groumellec United States 10 429 0.8× 243 0.7× 91 0.7× 60 0.5× 97 1.2× 14 569
Suvra Roy India 16 727 1.3× 508 1.5× 220 1.6× 142 1.1× 214 2.5× 47 1.1k
K. M. Shankar India 14 406 0.7× 277 0.8× 108 0.8× 107 0.9× 72 0.9× 50 639
Rodolfo Lozano‐Olvera Mexico 10 582 1.0× 237 0.7× 116 0.9× 298 2.4× 136 1.6× 25 688
Bunlung Nuangsaeng Thailand 8 512 0.9× 238 0.7× 119 0.9× 234 1.9× 110 1.3× 12 680
M. Poornima India 11 297 0.5× 168 0.5× 74 0.5× 34 0.3× 105 1.3× 21 451
Kuo‐Kau Lee Taiwan 14 777 1.4× 220 0.7× 322 2.4× 489 3.9× 109 1.3× 26 946

Countries citing papers authored by Ramya Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Kumar. A scholar is included among the top collaborators of Ramya Kumar 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 Ramya Kumar. Ramya Kumar 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.
Chen, Cong-Yan, et al.. (2025). Glucose- and glutamine-driven de novo nucleotide synthesis facilitates WSSV replication in shrimp. Cell Communication and Signaling. 23(1). 191–191.
2.
Kumar, Ramya, Shin-Jen Lin, Chien‐Kang Huang, et al.. (2025). Bile acid- and taurocholate-mediated virulence in AHPND-causing Vibrio parahaemolyticus is independent of the LuxO-OpaR quorum sensing cascade. Aquaculture. 606. 742604–742604.
3.
Huang, Wan‐Ting, et al.. (2024). Low salinity stress increases the risk of Vibrio parahaemolyticus infection and gut microbiota dysbiosis in Pacific white shrimp. BMC Microbiology. 24(1). 275–275. 8 indexed citations
4.
Roy, Suvra, Pranaya Kumar Parida, Ramya Kumar, et al.. (2024). Whole mitochondrial genome sequencing and phylogenetic analysis of Gangetic mystus ( Mystus cavasius ). SHILAP Revista de lepidopterología. 9(11). 1539–1543. 3 indexed citations
5.
Kumar, Ramya, et al.. (2024). ARRDC3, a novel α-arrestin, modulates WSSV replication and AHPND pathogenesis in Litopeneaus vannamei. Fish & Shellfish Immunology. 157. 110074–110074. 3 indexed citations
6.
Kumar, Ramya, et al.. (2023). Shrimp SIRT4 promotes white spot syndrome virus replication. Fish & Shellfish Immunology. 145. 109328–109328. 4 indexed citations
7.
Kumar, Ramya, et al.. (2023). Resilience and probiotic interventions to prevent and recover from shrimp gut dysbiosis. Fish & Shellfish Immunology. 139. 108886–108886. 3 indexed citations
8.
Wang, Hao‐Ching, et al.. (2023). A bacterial binary toxin system that kills both insects and aquatic crustaceans: Photorhabdus insect-related toxins A and B. PLoS Pathogens. 19(5). e1011330–e1011330. 8 indexed citations
9.
Chang, Yuan‐Chih, Hao‐Ching Wang, Tze Hann Ng, et al.. (2023). Multiple Nucleocapsid Structural Forms of Shrimp White Spot Syndrome Virus Suggests a Novel Viral Morphogenetic Pathway. International Journal of Molecular Sciences. 24(8). 7525–7525. 7 indexed citations
10.
Chen, Yilun, Ramya Kumar, Chun‐Hung Liu, & Han‐Ching Wang. (2022). Litopenaeus vannamei peritrophin interacts with WSSV and AHPND-causing V. parahaemolyticus to regulate disease pathogenesis. Fish & Shellfish Immunology. 126. 271–282. 14 indexed citations
11.
Kumar, Ramya, et al.. (2021). In Litopenaeus vannamei, the cuticular chitin-binding proteins LvDD9A and LvDD9B retard AHPND pathogenesis but facilitate WSSV infection. Developmental & Comparative Immunology. 120. 103999–103999. 12 indexed citations
12.
13.
Kumar, Ramya, et al.. (2020). Synergistic Antioxidant and Antibacterial Activity of Curcumin-C3 Encapsulated Chitosan Nanoparticles. Current Pharmaceutical Design. 26(39). 5021–5029. 18 indexed citations
14.
Wang, Hao‐Ching, et al.. (2020). A Review of the Functional Annotations of Important Genes in the AHPND-Causing pVA1 Plasmid. Microorganisms. 8(7). 996–996. 21 indexed citations
15.
Liu, Wang-Jing, et al.. (2020). Shrimp SIRT1 activates of the WSSV IE1 promoter independently of the NF-κB binding site. Fish & Shellfish Immunology. 106. 910–919. 13 indexed citations
16.
Kumar, Ramya, et al.. (2019). Curcumin-C3 Complexed with α-, β-cyclodextrin Exhibits Antibacterial and Antioxidant Properties Suitable for Cancer Treatments. Current Drug Metabolism. 20(12). 988–1001. 12 indexed citations
17.
Ng, Tze Hann, et al.. (2019). Selective expression of a “correct cloud” of Dscam in crayfish survivors after second exposure to the same pathogen. Fish & Shellfish Immunology. 92. 430–437. 22 indexed citations
18.
19.
Panigrahi, A., M. Sundaram, C. Saranya, et al.. (2018). Influence of differential protein levels of feed on production performance and immune response of pacific white leg shrimp in a biofloc–based system. Aquaculture. 503. 118–127. 65 indexed citations
20.
Chang, Yu-Hsuan, Ramya Kumar, Tze Hann Ng, & Han‐Ching Wang. (2017). What vaccination studies tell us about immunological memory within the innate immune system of cultured shrimp and crayfish. Developmental & Comparative Immunology. 80. 53–66. 67 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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