Ivan Ahel

13.1k total citations
136 papers, 8.6k citations indexed

About

Ivan Ahel is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ivan Ahel has authored 136 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Oncology, 77 papers in Molecular Biology and 55 papers in Immunology. Recurrent topics in Ivan Ahel's work include PARP inhibition in cancer therapy (100 papers), Toxin Mechanisms and Immunotoxins (55 papers) and Calcium signaling and nucleotide metabolism (37 papers). Ivan Ahel is often cited by papers focused on PARP inhibition in cancer therapy (100 papers), Toxin Mechanisms and Immunotoxins (55 papers) and Calcium signaling and nucleotide metabolism (37 papers). Ivan Ahel collaborates with scholars based in United Kingdom, United States and Croatia. Ivan Ahel's co-authors include J.G.M. Rack, Stephen C. West, Luca Palazzo, Gytis Jankevicius, Eva Barkauskaite, Ulrich Rass, Andreja Mikoč, Dragana Ahel, Ivan Matić and Evgeniia Prokhorova and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ivan Ahel

132 papers receiving 8.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Ahel United Kingdom 55 5.7k 5.4k 2.4k 1.5k 930 136 8.6k
John M. Pascal United States 43 3.8k 0.7× 4.4k 0.8× 1.0k 0.4× 325 0.2× 1.1k 1.2× 90 6.1k
H. Schüler Sweden 38 2.1k 0.4× 2.6k 0.5× 1.1k 0.5× 478 0.3× 538 0.6× 93 4.6k
Ivan Matić Germany 28 1.8k 0.3× 3.4k 0.6× 790 0.3× 340 0.2× 198 0.2× 45 4.4k
Olga I. Lavrik Russia 41 2.5k 0.4× 6.4k 1.2× 418 0.2× 159 0.1× 401 0.4× 407 7.6k
Vladimir Rybin Germany 46 594 0.1× 5.0k 0.9× 464 0.2× 502 0.3× 40 0.0× 69 6.7k
Olga Perišić United Kingdom 43 645 0.1× 6.5k 1.2× 824 0.3× 420 0.3× 28 0.0× 66 8.3k
Tatiana G. Kutateladze United States 54 1.2k 0.2× 8.8k 1.6× 555 0.2× 172 0.1× 19 0.0× 191 10.4k
Oreste Acuto France 60 2.5k 0.4× 3.7k 0.7× 7.4k 3.1× 159 0.1× 39 0.0× 156 11.3k
W. Tempel Canada 35 407 0.1× 3.6k 0.7× 329 0.1× 96 0.1× 152 0.2× 84 4.4k
Michal R. Schweiger Germany 36 1.2k 0.2× 3.1k 0.6× 414 0.2× 97 0.1× 55 0.1× 143 4.5k

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-authorship network of co-authors of Ivan Ahel

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Ahel. A scholar is included among the top collaborators of Ivan Ahel 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 Ivan Ahel. Ivan Ahel 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
1.
Butler, Rachel E., M. Schuller, Jayanta Mukhopadhyay, et al.. (2025). Control of replication and gene expression by ADP-ribosylation of DNA in Mycobacterium tuberculosis. The EMBO Journal. 44(12). 3468–3491. 2 indexed citations
2.
Samanta, Krishna, Ivan Ahel, & Pulak Kar. (2025). Deciphering of the reactive oxygen species (ROS) induced calpain activation in cancer progression and its therapeutic potential. SHILAP Revista de lepidopterología. 15. 100124–100124.
3.
Groslambert, Joséphine, et al.. (2025). PARPs and ADP-ribosyl hydrolases in cancer therapy: From drug targets to biomarkers. DNA repair. 152. 103863–103863. 1 indexed citations
4.
Lu, Yang, et al.. (2025). A FRET-Based High-Throughput Screening Assay for the Discovery of Mycobacterium tuberculosis DNA ADP-Ribosylglycohydrolase DarG Inhibitors. ACS Infectious Diseases. 11(11). 3286–3297. 1 indexed citations
5.
Rack, J.G.M., Kang Zhu, Evgeniia Prokhorova, et al.. (2024). Reversal of tyrosine-linked ADP-ribosylation by ARH3 and PARG. Journal of Biological Chemistry. 300(11). 107838–107838. 5 indexed citations
6.
Zhu, Kang, Chatrin Chatrin, Marcin J. Suskiewicz, et al.. (2024). Ubiquitylation of nucleic acids by DELTEX ubiquitin E3 ligase DTX3L. EMBO Reports. 25(10). 4172–4189. 13 indexed citations
7.
Rack, J.G.M., et al.. (2023). Chemoenzymatic and Synthetic Approaches To Investigate Aspartate- and Glutamate-ADP-Ribosylation. Journal of the American Chemical Society. 145(25). 14000–14009. 31 indexed citations
8.
Rack, J.G.M., Gijsbert A. van der Marel, Herman S. Overkleeft, et al.. (2023). Four of a Kind: A Complete Collection of ADP-Ribosylated Histidine Isosteres Using Cu(I)- and Ru(II)-Catalyzed Click Chemistry. The Journal of Organic Chemistry. 88(15). 10801–10809. 7 indexed citations
9.
Ahel, Ivan, et al.. (2023). The function and regulation of ADP-ribosylation in the DNA damage response. Biochemical Society Transactions. 51(3). 995–1008. 13 indexed citations
10.
Schuller, M., Rachel E. Butler, A. Ariza, et al.. (2021). Molecular basis for DarT ADP-ribosylation of a DNA base. Nature. 596(7873). 597–602. 50 indexed citations
11.
Beijer, Danique, Thomas Agnew, J.G.M. Rack, et al.. (2021). Biallelic ADPRHL2 mutations in complex neuropathy affect ADP ribosylation and DNA damage response. Life Science Alliance. 4(11). e202101057–e202101057. 16 indexed citations
12.
Rack, J.G.M., Valentina Zorzini, Zihan Zhu, et al.. (2020). Viral macrodomains: a structural and evolutionary assessment of the pharmacological potential. Open Biology. 10(11). 200237–200237. 54 indexed citations
13.
Hanzlíková, Hana, Evgeniia Prokhorova, Kateřina Krejčíková, et al.. (2020). Pathogenic ARH3 mutations result in ADP-ribose chromatin scars during DNA strand break repair. Nature Communications. 11(1). 3391–3391. 35 indexed citations
14.
Suskiewicz, Marcin J., Pietro Fontana, A. Ariza, et al.. (2020). HPF1 completes the PARP active site for DNA damage-induced ADP-ribosylation. Nature. 579(7800). 598–602. 202 indexed citations
15.
Munnur, Deeksha, Joanna Somers, George Skalka, et al.. (2019). NR4A Nuclear Receptors Target Poly-ADP-Ribosylated DNA-PKcs Protein to Promote DNA Repair. Cell Reports. 26(8). 2028–2036.e6. 12 indexed citations
16.
Palazzo, Luca, Orsolya Leidecker, Evgeniia Prokhorova, et al.. (2018). Serine is the major residue for ADP-ribosylation upon DNA damage. eLife. 7. 192 indexed citations
17.
Barkauskaite, Eva, Gytis Jankevicius, & Ivan Ahel. (2015). Structures and Mechanisms of Enzymes Employed in the Synthesis and Degradation of PARP-Dependent Protein ADP-Ribosylation. Molecular Cell. 58(6). 935–946. 212 indexed citations
18.
Hořejšı́, Zuzana, Nicola Wiechens, Sophie E. Polo, et al.. (2009). Poly(ADP-ribose)–Dependent Regulation of DNA Repair by the Chromatin Remodeling Enzyme ALC1. Science. 325(5945). 1240–1243. 467 indexed citations
19.
Ahel, Ivan, Dragana Ahel, Takahiro Matsusaka, et al.. (2008). Poly(ADP-ribose)-binding zinc finger motifs in DNA repair/checkpoint proteins. Nature. 451(7174). 81–85. 356 indexed citations
20.
Korencic, Dragana, Ivan Ahel, & Dieter Söll. (2002). Aminoacyl-tRNA Synthesis in Methanogenic Archaea. SHILAP Revista de lepidopterología. 5 indexed citations

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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