Ivan Ahel

13.5k citations
138 papers · 8.9k · 1 hit paper · h-index 55

Impact in

  • Physiology top 0.05%
    • Calcium signaling and nucleotide metabolism
  • Oncology top 0.2%
    • PARP inhibition in cancer therapy

Papers in

    • PARP inhibition in cancer therapy 101
    • DNA Repair Mechanisms 36
    • RNA and protein synthesis mechanisms 21
    • RNA modifications and cancer 14

Ivan Ahel

135 papers receiving 8.8k citations

Ivan Ahel's Hit Papers

ADP-ribosylation from molecular mechanisms to therapeutic implications 2023 · 106 citations
1060+1+2Years since publication255075100

Peers

Ivan Ahel
Comparison fields: 5 of 118
  • Physiology 1.6k
  • Oncology 5.8k
  • Immunology 2.4k
  • Geriatrics and Gerontology 267
  • Molecular Biology 5.4k
Replace H. Schüler with:
H. Schüler Sweden
John M. Pascal United States
Ivan Matić Germany
Kunihiro Ueda Japan
Nicholas T. Ktistakis United Kingdom
Vladimir Rybin Germany
Dmitry B. Veprintsev United Kingdom
Nobuo N. Noda Japan
Tatiana G. Kutateladze United States
Francis Impens Belgium
Ivan Ahel relative to H. Schüler Sweden H. Schüler's profile →
Citations per field
00.5×10.9×
H. Schüler · 1×
Citations per year

Countries citing papers authored by Ivan Ahel

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ahel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Ahel, 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 Ahel Line = papers co-authored together Ivan Ahel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009469
2 2008360
3 2011307
4 2006300
5 2017277
6 2007270
7 2016249
8 2015213
9 2020211
10 2018195
11 2016193
12 2016174
13 2016170
14 2003156
15 2014149
16 2016145
17 2018144
18 2020138
19 2017134
20 2011132

About Ivan Ahel

Ivan Ahel is a scholar working on Oncology, Molecular Biology, Immunology, Physiology and Electrical and Electronic Engineering, having authored 138 papers that have together received 8.9k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (101 papers), Toxin Mechanisms and Immunotoxins (55 papers), Calcium signaling and nucleotide metabolism (37 papers), DNA Repair Mechanisms (36 papers), RNA and protein synthesis mechanisms (21 papers), RNA modifications and cancer (14 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers) and Electrostatic Discharge in Electronics (7 papers). The work is most often cited by research in Physiology (1.6k citations), Oncology (5.8k citations), Immunology (2.4k citations), Geriatrics and Gerontology (267 citations) and Molecular Biology (5.4k citations). Ivan Ahel has collaborated with scholars based in United Kingdom, United States and Croatia. Frequent co-authors include J.G.M. Rack, Stephen C. West, Luca Palazzo, Gytis Jankevicius, Eva Barkauskaite, Dragana Ahel, Ulrich Rass, Andreja Mikoč, Ivan Matić and Evgeniia Prokhorova. Their work appears in journals such as Nature Communications, Molecular Cell, Journal of Biological Chemistry, Nucleic Acids Research and Nature Structural & Molecular 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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