Ivana Huvar

733 citations
8 papers · 611 indexed · h-index 7
Topics
Biochemical and Molecular Research (2 papers)Neuroblastoma Research and Treatments (2 papers)Adenosine and Purinergic Signaling (1 paper)
Partner nations
United StatesCanada

In The Last Decade

Ivana Huvar

8 papers receiving 597 citations

Peers

Ivana Huvar
Comparison fields: 5 of 66
  • Molecular Biology 353
  • Oncology 114
  • Neurology 109
  • Physiology 100
  • Cell Biology 88
Replace Peter von Bossanyi with:
Peter von Bossanyi Germany
Anice Moumen France
Mohini Lutchman United States
Lisette Montagne Netherlands
Anca Tirniceriu Germany
Tracy Busse United States
Zhe Huang Japan
Sai Latha Shankar United States
Michelle Hussain United Kingdom
Marion Kubitza Germany
Ivana Huvar relative to Peter von Bossanyi Germany Peter von Bossanyi's profile →
Citations per field
00.5×1.7×
Peter von Bossanyi · 1×
Citations per year

Countries citing papers authored by Ivana Huvar

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Huvar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Huvar

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Huvar. A scholar is included among the top collaborators of Ivana Huvar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivana Huvar. Ivana Huvar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 50
2 4
3
Ras activation in normal white blood cells and childhood acute lymphoblastic leukemia.
38
4 109
5
A decrease in the intracellular guanosine 5'-triphosphate concentration is necessary for granulocytic differentiation of HL-60 cells, but growth cessation and differentiation are not associated with a change in the activation state of Ras, the transforming principle of HL-60 cells.
20
6 128
7 138
8
Ras-GTP levels are elevated in human NF1 peripheral nerve tumors.
124

About Ivana Huvar

Ivana Huvar is a scholar working on Physiology, Immunology and Allergy and Neurology, having authored 8 papers that have together received 611 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (2 papers), Neuroblastoma Research and Treatments (2 papers) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Neurology (109 citations), Cell Biology (88 citations) and Molecular Biology (353 citations). Ivana Huvar has collaborated with scholars based in United States and Canada. Frequent co-authors include Gerry R. Boss, Renate B. Pilz, Suzanne M. Lohmann, Tanima Gudi, David H. Gutmann, John Provias, Abhishek Guha, Hongyi Huang, Sally A. Prigent and James R. Feramisco. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Arteriosclerosis Thrombosis and Vascular 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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