Anutosh Paria

807 citations
34 papers · 568 · h-index 14

Impact in

  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • Immune Response and Inflammation
    • interferon and immune responses
    • Aquaculture Nutrition and Growth

Papers in

    • Aquaculture disease management and microbiota 30
    • Invertebrate Immune Response Mechanisms 8
    • Immune Response and Inflammation 8
    • interferon and immune responses 4

Anutosh Paria

33 papers receiving 562 citations

Peers

Anutosh Paria
Comparison fields: 5 of 54
  • Immunology 492
  • Aquatic Science 116
  • Microbiology 66
  • Endocrinology 53
  • Animal Science and Zoology 46
Replace Noel Verján with:
Noel Verján Colombia
Biao Jiang China
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Citations per field
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Citations per year

Countries citing papers authored by Anutosh Paria

Since Specialization
Citations

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

Fields of papers citing papers by Anutosh Paria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201640
3 201738
4 201638
5
Evaluation of candidate reference genes for quantitative expression studies in Asian seabass (Lates calcarifer) during ontogenesis and in tissues of healthy and infected fishes.
201634
6 202130
7 201726
8 201422
9 201421
10 202020
11 201717
12 201215
13 201714
14 201914
15 202113
16 201913
17 201812
18 202311
19 202111
20 202010

About Anutosh Paria

Anutosh Paria is a scholar working on Immunology, Molecular Biology, Animal Science and Zoology, Microbiology and Endocrinology, having authored 34 papers that have together received 568 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (30 papers), Invertebrate Immune Response Mechanisms (8 papers), Immune Response and Inflammation (8 papers), Animal Virus Infections Studies (6 papers), Antimicrobial Peptides and Activities (5 papers), Vibrio bacteria research studies (5 papers), interferon and immune responses (4 papers) and Myxozoan Parasites in Aquatic Species (3 papers). The work is most often cited by research in Immunology (492 citations), Aquatic Science (116 citations), Microbiology (66 citations), Endocrinology (53 citations) and Animal Science and Zoology (46 citations). Anutosh Paria has collaborated with scholars based in India, Peru and Malaysia. Frequent co-authors include M. Makesh, K. V. Rajendran, K. Sreedharan, Aparna Chaudhari, C. S. Purushothaman, Tanmoy Gon Choudhury, Pravata Kumar Pradhan, Gaurav Rathore, Neeraj Sood and Dev Kumar Verma. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Gene, Reviews in Fisheries Science & Aquaculture and Virus Research.

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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