An Aerts

3.3k citations
50 papers · 2.2k indexed · h-index 29

Impact in

Papers in

An Aerts

50 papers receiving 2.2k citations

Peers

An Aerts
Comparison fields: 5 of 126
  • Microbiology 440
  • Aging 58
  • Radiology, Nuclear Medicine and Imaging 760
  • Biotechnology 143
  • Molecular Biology 1.1k
Replace Piotr Wiland with:
Piotr Wiland Poland
Joo Hyun Kang South Korea
Yetrib Hathout United States
Shahin Aghamiri Iran
Valerie C. Wasinger Australia
Bettina Sarg Austria
Hideki Yokoyama Japan
Herbert Lindner Austria
Takashi Kodama Japan
Bing Yang China
An Aerts relative to Piotr Wiland Poland Piotr Wiland's profile →
Citations per field
00.5×10×15.7×
Piotr Wiland · 1×
Citations per year

Countries citing papers authored by An Aerts

Since Specialization
Citations

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

Fields of papers citing papers by An Aerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018208
2 2014181
3 2008159
4 2007144
5 2009113
6 201698
7 201191
8 201268
9 202166
10 200865
11 200756
12 201650
13 200849
14 201748
15 201447
16 200647
17 202144
18 202142
19 200541
20 201741

About An Aerts

An Aerts is a scholar working on Microbiology, Radiology, Nuclear Medicine and Imaging, Aging, Biotechnology and Immunology, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (16 papers), Antimicrobial Peptides and Activities (9 papers), Biochemical and Structural Characterization (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Biomarkers in Disease Mechanisms (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Transgenic Plants and Applications (4 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Microbiology (440 citations), Aging (58 citations), Radiology, Nuclear Medicine and Imaging (760 citations), Biotechnology (143 citations) and Molecular Biology (1.1k citations). An Aerts has collaborated with scholars based in Belgium, Germany and Austria. Frequent co-authors include Sarah Baatout, Karin Thevissen, Bruno P.A. Cammue, Isabelle François, Bjorn Baselet, Pierre Sonveaux, Nathalie Impens, Frank Madeo, Didac Carmona‐Gutiérrez and Gilmer Govaert. Their work appears in journals such as Cellular and Molecular Life Sciences, FEBS Letters, Nuclear Medicine and Biology, Frontiers in Pharmacology and International Journal of Radiation 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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