Ivana Klisak
- Molecular Biology top 5%
- Genetics top 2%
- Immunology top 2%
- Genetics top 1%
- Surgery top 10%
- Co-authors
- Robert S. SparkesT. MohandasJohn E. ByfieldPaula M. Calabro-JonesShirley G. QuanDavid J. RawlingsR.Cutler AllenDouglas C. Saffran
- Topics
- Genomic variations and chromosomal abnormalities (10 papers)Chronic Lymphocytic Leukemia Research (7 papers)Genomics and Chromatin Dynamics (7 papers)
- Cited by
- GeneticsImmunology
- Journals
- ScienceCellThe Lancet
- Partner nations
- United StatesJapanGermany
In The Last Decade
Ivana Klisak
67 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.8k
- Genetics 1.1k
- Immunology 1.0k
- Genetics 703
- Surgery 527
Countries citing papers authored by Ivana Klisak
This map shows the geographic impact of Ivana Klisak'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 Klisak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Klisak more than expected).
Fields of papers citing papers by Ivana Klisak
This network shows the impact of papers produced by Ivana Klisak. 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 Klisak. The network helps show where Ivana Klisak may publish in the future.
Co-authorship network of co-authors of Ivana Klisak
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Klisak. A scholar is included among the top collaborators of Ivana Klisak 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 Klisak. Ivana Klisak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | Deficient expression of a B cell cytoplasmic tyrosine kinase in human X-linked agammaglobulinemiabreakdown → | 1053 |
| 4 | A mutation in the homeodomain of the human MSX2 gene in a family affected with autosomal dominant craniosynostosisbreakdown → | 527 |
| 5 | 12 | |
| 6 | 19 | |
| 7 | 108 | |
| 8 | 5 | |
| 9 | 28 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 26 | |
| 13 | 38 | |
| 14 | 14 | |
| 15 | 167 | |
| 16 | 188 | |
| 17 | 103 | |
| 18 | 30 | |
| 19 | 27 | |
| 20 | Report of a trisomy 8p infant with carrier father. | 16 |
About Ivana Klisak
Ivana Klisak is a scholar working on Genetics, Genetics and Hematology, having authored 67 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Genetics (703 citations), Immunology (1.0k citations) and Genetics (1.1k citations). Ivana Klisak has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Robert S. Sparkes, T. Mohandas, John E. Byfield, Paula M. Calabro-Jones, T. Mohandas, Shirley G. Quan, David J. Rawlings, R.Cutler Allen, Douglas C. Saffran and Satoshi Tsukada. Their work appears in journals such as Science, Cell and The Lancet.
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.