Latif Reshi

536 citations
11 papers · 397 · h-index 8

Impact in

    • Aquaculture disease management and microbiota
    • interferon and immune responses
    • Invertebrate Immune Response Mechanisms
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors

Papers in

    • Cell death mechanisms and regulation 2
    • Aquaculture disease management and microbiota 3
    • interferon and immune responses 2

Latif Reshi

10 papers receiving 391 citations

Peers

Latif Reshi
Comparison fields: 5 of 81
  • Immunology 124
  • Infectious Diseases 80
  • Animal Science and Zoology 40
  • Nutrition and Dietetics 48
  • Virology 9
Replace Mingyong Wang with:
Mingyong Wang China
Sutian Wang China
Cheng Yuan China
Xingchen Zhou China
Atsuko Kishi Japan
John T. Mackie United States
Lauren W. Kaminsky United States
Zhuang Chen China
Toshio Bessho Japan
Latif Reshi relative to Mingyong Wang China Mingyong Wang's profile →
Citations per field
00.5×1.5×2.3×
Mingyong Wang · 1×
Citations per year

Countries citing papers authored by Latif Reshi

Since Specialization
Citations

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

Fields of papers citing papers by Latif Reshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Latif Reshi, 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 Latif Reshi Line = papers co-authored together Latif Reshi links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014230
2 201643
3 201531
4 201626
5 201425
6 201814
7 201914
8 20227
9 20166
10 20131
11 20240

About Latif Reshi

Latif Reshi is a scholar working on Molecular Biology, Immunology, Animal Science and Zoology, Epidemiology and Nutrition and Dietetics, having authored 11 papers that have together received 397 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (3 papers), Cell death mechanisms and regulation (2 papers), interferon and immune responses (2 papers), Animal Virus Infections Studies (2 papers), Virus-based gene therapy research (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Vitamin C and Antioxidants Research (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Immunology (124 citations), Infectious Diseases (80 citations), Animal Science and Zoology (40 citations), Nutrition and Dietetics (48 citations) and Virology (9 citations). Latif Reshi has collaborated with scholars based in Taiwan, Ethiopia and China. Frequent co-authors include Jiann‐Ruey Hong, Hao‐Ven Wang, Jen‐Leih Wu, Cho‐Fat Hui, Yu-Chin Su, Wei-Han Li, Chong‐Kuei Lii, Ai‐Hsuan Lin, Ya–Chen Yang and Chin‐Shiu Huang. Their work appears in journals such as Fish & Shellfish Immunology, Scientific Reports, APOPTOSIS, Food and Chemical Toxicology and International Journal of Cell Biology.

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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