Mari Inada

935 citations
36 papers · 735 · h-index 16

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • Complement system in diseases
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Invertebrate Immune Response Mechanisms 12
    • Aquaculture disease management and microbiota 10
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Liver physiology and pathology 2

Mari Inada

33 papers receiving 723 citations

Peers

Mari Inada
Comparison fields: 5 of 81
  • Immunology 331
  • Hepatology 87
  • Genetics 72
  • Aquatic Science 54
  • Hematology 76
Replace Michael Liew with:
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Mari Inada relative to Michael Liew United States Michael Liew's profile →
Citations per field
00.5×7.4×
Michael Liew · 1×
Citations per year

Countries citing papers authored by Mari Inada

Since Specialization
Citations

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

Fields of papers citing papers by Mari Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005145
2 200599
3 201042
4 201236
5 200933
6 201031
7 202131
8 200830
9 201130
10 202029
11 201128
12 200527
13 201320
14 200719
15 201218
16 200415
17 201414
18 201014
19 201113
20 202113

About Mari Inada

Mari Inada is a scholar working on Immunology, Hepatology, Infectious Diseases, Molecular Biology and Ecology, having authored 36 papers that have together received 735 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (12 papers), Aquaculture disease management and microbiota (10 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Insect symbiosis and bacterial influences (3 papers), Liver physiology and pathology (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Immunology (331 citations), Hepatology (87 citations), Genetics (72 citations), Aquatic Science (54 citations) and Hematology (76 citations). Mari Inada has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Sanjeev Gupta, Toshiaki Itami, Eric E. Bouhassira, Daniel Benten, Tohru Mekata, Tomoya Kono, Masahiro Sakai, Brigid Joseph, R. Sudhakaran and Sergey Lyubsky. Their work appears in journals such as Fish & Shellfish Immunology, Fish Pathology, Laboratory Investigation, Experimental Hematology and Hepatology.

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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