Igor Jurišica

27.4k total citations · 4 hit papers
286 papers, 15.9k citations indexed

About

Igor Jurišica is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Igor Jurišica has authored 286 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Molecular Biology, 63 papers in Cancer Research and 33 papers in Oncology. Recurrent topics in Igor Jurišica's work include Bioinformatics and Genomic Networks (52 papers), Gene expression and cancer classification (30 papers) and Cancer-related molecular mechanisms research (29 papers). Igor Jurišica is often cited by papers focused on Bioinformatics and Genomic Networks (52 papers), Gene expression and cancer classification (30 papers) and Cancer-related molecular mechanisms research (29 papers). Igor Jurišica collaborates with scholars based in Canada, Slovakia and United States. Igor Jurišica's co-authors include Nataša Pržulj, Kevin R. Brown, Ming‐Sound Tsao, Max Kotlyar, Chiara Pastrello, Melania Pintilie, Linda Z. Penn, Paul C. Boutros, Derek G. Corneil and Andrew D. King and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Igor Jurišica

273 papers receiving 15.7k citations

Hit Papers

Stem cell gene expression programs influence clinical out... 2005 2026 2012 2019 2011 2011 2005 2017 200 400 600

Peers

Igor Jurišica
Comparison fields: 5 of 199
  • Molecular Biology 10.1k
  • Cancer Research 4.5k
  • Oncology 2.3k
  • Pulmonary and Respiratory Medicine 1.6k
  • Immunology 1.2k
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Citations per field, relative to Igor Jurišica
Igor Jurišica · 1×
Citations per year, relative to Igor Jurišica
Igor Jurišica · 1×

Countries citing papers authored by Igor Jurišica

Since Specialization
Citations

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

Fields of papers citing papers by Igor Jurišica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Jurišica

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Jurišica. A scholar is included among the top collaborators of Igor Jurišica 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 Igor Jurišica. Igor Jurišica 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
# Work Indexed citations
1 0
2 1
3 2
4 9
5 2
6 25
7 81
8 34
9 10
10 12
11 49
12 223
13 32
14 321
15 189
16 50
17 60
18 401
19 115
20
High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells breakdown →
553

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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