Ivan Ivetac

579 citations
8 papers · 316 · h-index 6

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Chronic Lymphocytic Leukemia Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Ubiquitin and proteasome pathways 1
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 2

Ivan Ivetac

8 papers receiving 313 citations

Peers

Ivan Ivetac
Comparison fields: 5 of 49
  • Cell Biology 107
  • Genetics 53
  • Molecular Biology 218
  • Physiology 12
  • Immunology 33
Replace Elizabeth M. Davies with:
Elizabeth M. Davies Australia
Kevin Chiu United States
Ketu Mishra-Gorur United States
Kiyoharu Ito Japan
Beatriz del Valle‐Pérez Spain
Chen Lin China
Jinhai Guo China
Yongliang Huo United States
Pauline Jeannot France
Maria Chatzifrangkeskou United Kingdom
Ivan Ivetac relative to Elizabeth M. Davies Australia Elizabeth M. Davies's profile →
Citations per field
00.5×1.5×1.8×
Elizabeth M. Davies · 1×
Citations per year

Countries citing papers authored by Ivan Ivetac

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ivetac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200598
2 200963
3 201258
4 200557
5 201831
6
Zebrafish: Genetic tools and genomics
20006
7 20182
8 20141

About Ivan Ivetac

Ivan Ivetac is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 316 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cellular transport and secretion (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ubiquitin and proteasome pathways (1 paper), Marine Biology and Environmental Chemistry (1 paper), Adenosine and Purinergic Signaling (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Cell Biology (107 citations), Genetics (53 citations), Molecular Biology (218 citations), Physiology (12 citations) and Immunology (33 citations). Ivan Ivetac has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Christina A. Mitchell, Tony Tiganis, Marina V. Kisseleva, Xiangming Zhang, Tony Rowe, Adam D. Munday, James C. Whisstock, Susan E. Luff, Rajendra Gurung and Lauren C. Binge. Their work appears in journals such as Molecular Biology of the Cell, Biochemical Journal, EMBO Reports, Bioscience Reports and PLoS ONE.

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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