Kathy Knezevic

3.8k citations
31 papers · 1.9k indexed · 1 hit paper · h-index 19
Topics
Zebrafish Biomedical Research Applications (14 papers)Acute Myeloid Leukemia Research (9 papers)Pluripotent Stem Cells Research (6 papers)

In The Last Decade

Kathy Knezevic

30 papers receiving 1.9k citations

Hit Papers

Combinatorial Transcriptional Control In Blood Stem/Proge...20102026201520202010100200300400500

Peers

Kathy Knezevic
Comparison fields: 5 of 79
  • Molecular Biology 1.4k
  • Hematology 678
  • Cell Biology 497
  • Immunology 355
  • Public Health, Environmental and Occupational Health 174
Replace Jeffrey W. Schindler with:
Jeffrey W. Schindler United States
Catherine Porcher United Kingdom
Judith Schütte United Kingdom
Pu Paul Liu United States
I Wadman United Kingdom
Jianlong Sun United States
Polynikis Kaimakis Netherlands
Wolf-Karsten Hofmann Germany
Christopher Sears United States
Françoise Cormier France
Kathy Knezevic relative to Jeffrey W. Schindler United States Jeffrey W. Schindler's profile →
Citations per field
00.5×1.6×
Jeffrey W. Schindler · 1×
Citations per year

Countries citing papers authored by Kathy Knezevic

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Knezevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathy Knezevic

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Knezevic. A scholar is included among the top collaborators of Kathy Knezevic 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 Kathy Knezevic. Kathy Knezevic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 22
3 22
4 10
5 16
6 19
7 17
8 95
9 11
10 16
11 72
12 17
13 14
14
Combinatorial Transcriptional Control In Blood Stem/Progenitor Cells: Genome-wide Analysis of Ten Major Transcriptional Regulatorsbreakdown →
523
15 62
16 180
17 100
18 63
19 71
20 72

About Kathy Knezevic

Kathy Knezevic is a scholar working on Hematology, Cell Biology and Molecular Biology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (14 papers), Acute Myeloid Leukemia Research (9 papers) and Pluripotent Stem Cells Research (6 papers). The work is most often cited by research in Hematology (678 citations), Cell Biology (497 citations) and Molecular Biology (1.4k citations). Kathy Knezevic has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Berthold Göttgens, John E. Pimanda, Sarah Kinston, Nicola K. Wilson, Marella de Bruijn, Judith Schütte, Anthony R. Green, Elaine Dzierzak, Polynikis Kaimakis and Samuel D. Foster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

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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