Ben Lehner
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 25
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks 33
- RNA and protein synthesis mechanisms 24
- CRISPR and Genetic Engineering 20
- Gene Regulatory Network Analysis 17
- RNA Research and Splicing 17
- Genetics top 0.5%
- Evolution and Genetic Dynamics 23
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 12
- Co-authors
- Fran SupekAndrew FraserTanya VavouriMarcos Francisco PerezBenjamin Schuster‐BöcklerJennifer I. SempleRik G.H. LindeboomChristopher M. Sanderson
- Cited by
- AgingMolecular BiologyGenetics
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Ben Lehner
119 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Aging 913
- Molecular Biology 7.1k
- Genetics 2.3k
- Cancer Research 1.2k
- Endocrine and Autonomic Systems 244
Countries citing papers authored by Ben Lehner
This map shows the geographic impact of Ben Lehner'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 Ben Lehner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Lehner more than expected).
Fields of papers citing papers by Ben Lehner
This network shows the impact of papers produced by Ben Lehner. 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 Ben Lehner. The network helps show where Ben Lehner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben Lehner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | Site-saturation mutagenesis of 500 human protein domainsbreakdown → | 2025 | 20 |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 55 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 41 | |
| 11 | 2019 | 169 | |
| 12 | Intergenerational and transgenerational epigenetic inheritance in animalsbreakdown → | 2018 | 364 |
| 13 | 2017 | 261 | |
| 14 | 2017 | 11 | |
| 15 | 2015 | 3 | |
| 16 | 2014 | 40 | |
| 17 | 2014 | 21 | |
| 18 | 2011 | 113 | |
| 19 | 2010 | 5 | |
| 20 | 2004 | 115 |
About Ben Lehner
Ben Lehner is a scholar working on Aging, Molecular Biology, Genetics, Cancer Research and Anatomy, having authored 119 papers that have together received 9.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (33 papers), Genetics, Aging, and Longevity in Model Organisms (25 papers), RNA and protein synthesis mechanisms (24 papers), Evolution and Genetic Dynamics (23 papers), CRISPR and Genetic Engineering (20 papers), Gene Regulatory Network Analysis (17 papers), RNA Research and Splicing (17 papers) and Cancer Genomics and Diagnostics (12 papers). The work is most often cited by research in Aging (913 citations), Molecular Biology (7.1k citations), Genetics (2.3k citations), Cancer Research (1.2k citations) and Endocrine and Autonomic Systems (244 citations). Ben Lehner has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Fran Supek, Andrew Fraser, Tanya Vavouri, Marcos Francisco Perez, Benjamin Schuster‐Böckler, Jennifer I. Semple, Rik G.H. Lindeboom, Christopher M. Sanderson, Julia Tischler and Jörn M. Schmiedel. Their work appears in journals such as Nature Communications, Nature, Genome biology, Nature Genetics and Trends in Genetics.
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.