Kumar Katya

825 citations
20 papers · 685 · h-index 14

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture Nutrition and Growth 19
    • Aquatic life and conservation 6
    • Aquaculture disease management and microbiota 15

Kumar Katya

20 papers receiving 671 citations

Peers

Kumar Katya
Comparison fields: 5 of 60
  • Aquatic Science 505
  • Immunology 387
  • Physiology 49
  • Insect Science 81
  • Nutrition and Dietetics 90
Replace João Fernando Albers Koch with:
João Fernando Albers Koch Brazil
Lu Zheng China
Jurij Wacyk Chile
Igo Gomes Guimarães Brazil
Qincheng Huang China
Denghang Yu China
Shieh-Tsung Chiu Taiwan
N. Shamna India
Elangovan Prabu India
Seonghun Won South Korea
Kumar Katya relative to João Fernando Albers Koch Brazil João Fernando Albers Koch's profile →
Citations per field
00.5×3.2×
João Fernando Albers Koch · 1×
Citations per year

Countries citing papers authored by Kumar Katya

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Katya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kumar Katya, 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 Kumar Katya Line = papers co-authored together Kumar Katya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016122
2 201688
3 201872
4 201764
5 201441
6 201540
7 201640
8 201540
9 201437
10 201426
11 201825
12 201624
13 202213
14 201513
15 201611
16 20179
17 20238
18 20156
19 20153
20 20173

About Kumar Katya

Kumar Katya is a scholar working on Aquatic Science, Immunology, Physiology, Health, Toxicology and Mutagenesis and Animal Science and Zoology, having authored 20 papers that have together received 685 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (19 papers), Aquaculture disease management and microbiota (15 papers), Aquatic life and conservation (6 papers), Reproductive biology and impacts on aquatic species (4 papers), Animal Nutrition and Physiology (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Agricultural pest management studies (1 paper) and Moringa oleifera research and applications (1 paper). The work is most often cited by research in Aquatic Science (505 citations), Immunology (387 citations), Physiology (49 citations), Insect Science (81 citations) and Nutrition and Dietetics (90 citations). Kumar Katya has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Sungchul C. Bai, Seunghan Lee, Hyeonho Yun, Seonghun Won, Ali Hamidoghli, Youngjin Park, Craig L. Browdy, M. Vázquez-Añón, In‐Kwon Jang and Erfan Shahkar. Their work appears in journals such as Aquaculture Nutrition, Asian-Australasian Journal of Animal Sciences, Aquaculture, Fish & Shellfish Immunology and Animals.

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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