Jonathan Ient

661 total citations · 1 hit paper
9 papers, 487 citations indexed

About

Jonathan Ient is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Jonathan Ient has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Spectroscopy. Recurrent topics in Jonathan Ient's work include Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). Jonathan Ient is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). Jonathan Ient collaborates with scholars based in Netherlands, United Kingdom and United States. Jonathan Ient's co-authors include Marc Vooijs, Lorena Giuranno, Dirk De Ruysscher, Ester M. Hammond, Shaliny Ramachandran, Lucio Miele, Liesbeth Boersma, Marjolein L. Smidt, Vivianne C. G. Tjan‐Heijnen and Adam J. Krieg and has published in prestigious journals such as Scientific Reports, Radiotherapy and Oncology and Cells.

In The Last Decade

Jonathan Ient

8 papers receiving 483 citations

Hit Papers

Radiation-Induced Lung Injury (RILI) 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Ient Netherlands 7 233 169 150 117 101 9 487
Apostolos Menegakis Germany 12 199 0.9× 107 0.6× 128 0.9× 152 1.3× 94 0.9× 16 390
Takamitsu Hara Japan 12 229 1.0× 270 1.6× 222 1.5× 70 0.6× 100 1.0× 27 566
Maarten Niemantsverdriet Netherlands 8 205 0.9× 137 0.8× 117 0.8× 93 0.8× 43 0.4× 15 416
M. Abend Germany 11 279 1.2× 226 1.3× 118 0.8× 101 0.9× 193 1.9× 28 516
Kelly M. Redmond United Kingdom 9 273 1.2× 61 0.4× 120 0.8× 136 1.2× 69 0.7× 17 447
Valérie Buard France 12 174 0.7× 183 1.1× 97 0.6× 75 0.6× 74 0.7× 21 411
Daniela Trani United States 12 164 0.7× 206 1.2× 175 1.2× 86 0.7× 59 0.6× 14 426
Kazuhiro Daino Japan 15 267 1.1× 235 1.4× 175 1.2× 147 1.3× 136 1.3× 53 575
Motohiro Yamauchi Japan 14 628 2.7× 149 0.9× 233 1.6× 216 1.8× 136 1.3× 44 895
Tanya K. Day Australia 12 205 0.9× 274 1.6× 259 1.7× 46 0.4× 167 1.7× 15 576

Countries citing papers authored by Jonathan Ient

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ient

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Ient

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

All Works

9 of 9 papers shown
1.
Menegakis, Apostolos, Claire Vennin, Jonathan Ient, et al.. (2024). A novel lineage-tracing tool reveals that hypoxic tumor cells drive tumor relapse after radiotherapy. Radiotherapy and Oncology. 202. 110592–110592.
2.
Vermeer, Jenny A. F., Jonathan Ient, Boštjan Markelc, et al.. (2020). A lineage-tracing tool to map the fate of hypoxic tumour cells. Disease Models & Mechanisms. 13(7). 5 indexed citations
3.
Groot, Arjan J., Ala Yaromina, Lorena Giuranno, et al.. (2019). HIF-1α and HIF-2α Differently Regulate the Radiation Sensitivity of NSCLC Cells. Cells. 8(1). 45–45. 39 indexed citations
4.
Giuranno, Lorena, Jonathan Ient, Dirk De Ruysscher, & Marc Vooijs. (2019). Radiation-Induced Lung Injury (RILI). Frontiers in Oncology. 9. 877–877. 251 indexed citations breakdown →
5.
Ient, Jonathan, Vivianne C. G. Tjan‐Heijnen, Liesbeth Boersma, et al.. (2018). Moving Breast Cancer Therapy up a Notch. Frontiers in Oncology. 8. 518–518. 55 indexed citations
6.
Leszczyńska, Katarzyna B., Jonathan Ient, Joana M. Senra, et al.. (2016). Preclinical testing of an ATR inhibitor demonstrates improved response to standard therapies for esophageal cancer. Radiotherapy and Oncology. 121(2). 232–238. 39 indexed citations
7.
Murphy, Sarah E., et al.. (2016). Using HHsearch to tackle proteins of unknown function: A pilot study with PH domains. Traffic. 17(11). 1214–1226. 41 indexed citations
8.
Leszczyńska, Katarzyna B., Deborah Biasoli, Monica M. Olcina, et al.. (2016). Mechanisms and consequences of ATMIN repression in hypoxic conditions: roles for p53 and HIF-1. Scientific Reports. 6(1). 21698–21698. 15 indexed citations
9.
Ramachandran, Shaliny, et al.. (2015). Epigenetic Therapy for Solid Tumors: Highlighting the Impact of Tumor Hypoxia. Genes. 6(4). 935–956. 42 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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