Ivan Rupeš

2.0k citations
12 papers · 1.5k · 1 hit paper · h-index 9

Impact in

Papers in

    • Fungal and yeast genetics research 9
    • Genomics and Chromatin Dynamics 4
    • Plant Reproductive Biology 2
    • RNA and protein synthesis mechanisms 1
    • Microtubule and mitosis dynamics 6

Ivan Rupeš

12 papers receiving 1.5k citations

Hit Papers

A dynamic transcriptional network communicates growth potential to ribosome synthesis and critical cell size 2004 · 505 citations
5050+7+14Years since publication100200300400500

Peers

Ivan Rupeš
Comparison fields: 5 of 96
  • Aging 79
  • Cell Biology 418
  • Molecular Biology 1.4k
  • Plant Science 213
  • Biophysics 32
Replace Sandra Codlin with:
Sandra Codlin United Kingdom
Neil Adames United States
Derek L. Lindstrom United States
Linda Riles United States
James A. Waddle United States
Hiromi Maekawa Japan
Marie‐Noëlle Simon France
Laurence Aubry France
John DeModena United States
Emmanuelle Boy‐Marcotte France
Ivan Rupeš relative to Sandra Codlin United Kingdom Sandra Codlin's profile →
Citations per field
00.5×1.5×2.4×
Sandra Codlin · 1×
Citations per year

Countries citing papers authored by Ivan Rupeš

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Rupeš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ivan Rupeš, 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 Rupeš Line = papers co-authored together Ivan Rupeš links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
A dynamic transcriptional network communicates growth potential to ribosome synthesis and critical cell size
Hit paper breakdown →
2004505
2 2004339
3 2007307
4 2002140
5 198772
6 199964
7 200147
8 199539
9 199319
10 19898
11 19972
12 19931

About Ivan Rupeš

Ivan Rupeš is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Oncology and Aging, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Microtubule and mitosis dynamics (6 papers), Biofuel production and bioconversion (4 papers), Genomics and Chromatin Dynamics (4 papers), Plant Reproductive Biology (2 papers), Cancer Treatment and Pharmacology (1 paper), Mycotoxins in Agriculture and Food (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (79 citations), Cell Biology (418 citations), Molecular Biology (1.4k citations), Plant Science (213 citations) and Biophysics (32 citations). Ivan Rupeš has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include Mike Tyers, Paul Jorgensen, Lisa Schneper, Jeffrey R. Sharom, James R. Broach, Nicholas P. Edgington, Brandt L. Schneider, Bruce Futcher, Jonathan Millman and Joy L. Nishikawa. Their work appears in journals such as Molecular Biology of the Cell, PROTOPLASMA, Genes & Development, Biochemistry and Cell Biology and Microbiology.

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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