Ivica Arsov

8.9k citations
9 papers · 217 · h-index 8

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • Phagocytosis and Immune Regulation 2
    • Autophagy in Disease and Therapy 2

Ivica Arsov

9 papers receiving 213 citations

Peers

Ivica Arsov
Comparison fields: 5 of 50
  • Physiology 27
  • Immunology 98
  • Epidemiology 115
  • Parasitology 20
  • Geriatrics and Gerontology 3
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Huifang Xian China
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Citations per field
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Citations per year

Countries citing papers authored by Ivica Arsov

Since Specialization
Citations

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

Fields of papers citing papers by Ivica Arsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ivica Arsov, 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 Ivica Arsov Line = papers co-authored together Ivica Arsov links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201186
2 200845
3 199920
4 199716
5 200114
6
Selection for susceptibility to experimental allergic encephalomyelitis also selects for high IFN-gamma production.
199513
7 20149
8 20098
9 20026

About Ivica Arsov

Ivica Arsov is a scholar working on Immunology, Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Oncology, having authored 9 papers that have together received 217 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Autophagy in Disease and Therapy (2 papers), Phagocytosis and Immune Regulation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Physiology (27 citations), Immunology (98 citations), Epidemiology (115 citations), Parasitology (20 citations) and Geriatrics and Gerontology (3 citations). Ivica Arsov has collaborated with scholars based in United States, Germany and Serbia. Frequent co-authors include Stanislav Vukmanović, Benjamin Ortiz, F. Nina Papavasiliou, Margaret A. MacNeil, Zhenyu Yue, Yuan Hu, Anna Katharina Simon, Fabio R. Santori, Geoffrey M. Matthews and Xianting Li. Their work appears in journals such as The Journal of Immunology, Letters in Applied Microbiology, Cell Death and Differentiation, Food and Environmental Virology and International Immunology.

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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