Ramya Kumar

1.1k citations
30 papers · 816 · h-index 15

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Invertebrate Immune Response Mechanisms 17
    • Aquaculture disease management and microbiota 13
    • CRISPR and Genetic Engineering 2

Ramya Kumar

29 papers receiving 810 citations

Peers

Ramya Kumar
Comparison fields: 5 of 68
  • Aquatic Science 352
  • Immunology 598
  • Endocrinology 122
  • Insect Science 81
  • Molecular Medicine 23
Replace Rodolfo Lozano‐Olvera with:
Rodolfo Lozano‐Olvera Mexico
Suvra Roy India
Marc Le Groumellec United States
Bunlung Nuangsaeng Thailand
Niti Chuchird Thailand
Chao Zhao China
S. R. Krupesha Sharma India
K. M. Shankar India
C. Limsuwan Thailand
Kuo‐Kau Lee Taiwan
Ramya Kumar relative to Rodolfo Lozano‐Olvera Mexico Rodolfo Lozano‐Olvera's profile →
Citations per field
00.5×3.8×
Rodolfo Lozano‐Olvera · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ramya Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramya Kumar Line = papers co-authored together Ramya Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018163
2 2020123
3 201770
4 201868
5 202139
6 201934
7 202129
8 202125
9 201923
10 202023
11 201922
12 202122
13 202020
14 202217
15 202315
16 202314
17 202114
18 201913
19 202013
20 201813

About Ramya Kumar

Ramya Kumar is a scholar working on Immunology, Molecular Biology, Aquatic Science, Endocrinology and Insect Science, having authored 30 papers that have together received 816 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (17 papers), Aquaculture disease management and microbiota (13 papers), Aquaculture Nutrition and Growth (7 papers), Vibrio bacteria research studies (6 papers), Mosquito-borne diseases and control (5 papers), Insect symbiosis and bacterial influences (5 papers), Autophagy in Disease and Therapy (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aquatic Science (352 citations), Immunology (598 citations), Endocrinology (122 citations), Insect Science (81 citations) and Molecular Medicine (23 citations). Ramya Kumar has collaborated with scholars based in Taiwan, India and Germany. Frequent co-authors include Han‐Ching Wang, Tze Hann Ng, M. Sundaram, A. Panigrahi, Subhendu Kumar Otta, Rasmi R. Das, Yu-Hsuan Chang, Shih‐Shun Lin, Chun‐Hung Liu and Chu‐Fang Lo. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Reviews in Aquaculture, PLoS Pathogens and Cellular Microbiology.

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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