M. Makesh

1.6k citations
67 papers · 1.3k · h-index 21

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Immunology top 2%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

    • Aquaculture disease management and microbiota 47
    • Invertebrate Immune Response Mechanisms 26
    • Immune Response and Inflammation 8
    • interferon and immune responses 7
    • Aquaculture Nutrition and Growth 14

M. Makesh

67 papers receiving 1.2k citations

Peers

M. Makesh
Comparison fields: 5 of 78
  • Aquatic Science 500
  • Immunology 1.0k
  • Physiology 60
  • Endocrinology 65
  • Microbiology 70
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Citations per field
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Citations per year

Countries citing papers authored by M. Makesh

Since Specialization
Citations

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

Fields of papers citing papers by M. Makesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Makesh, 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 M. Makesh Line = papers co-authored together M. Makesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 201493
3 201574
4 200871
5 201460
6 201743
7 201641
8 201838
9
Evaluation of candidate reference genes for quantitative expression studies in Asian seabass (Lates calcarifer) during ontogenesis and in tissues of healthy and infected fishes.
201635
10 201429
11 201829
12 201727
13 201727
14 201326
15 202125
16 201924
17 201424
18 201423
19 202223
20 201722

About M. Makesh

M. Makesh is a scholar working on Immunology, Aquatic Science, Molecular Biology, Physiology and Insect Science, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (47 papers), Invertebrate Immune Response Mechanisms (26 papers), Aquaculture Nutrition and Growth (14 papers), Immune Response and Inflammation (8 papers), Reproductive biology and impacts on aquatic species (7 papers), interferon and immune responses (7 papers), Insect symbiosis and bacterial influences (7 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Aquatic Science (500 citations), Immunology (1.0k citations), Physiology (60 citations), Endocrinology (65 citations) and Microbiology (70 citations). M. Makesh has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include K. V. Rajendran, Anutosh Paria, C. S. Purushothaman, Aparna Chaudhari, K. Sreedharan, K. Pani Prasad, M. A. Pradeep, Gyanaranjan Dash, Ram Prakash Raman and Ponnerassery S. Sudheesh. Their work appears in journals such as Aquaculture, Fish & Shellfish Immunology, Journal of Invertebrate Pathology, Gene and Molecular Biology Reports.

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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