Lea Lahnstein
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Genomics and Rare Diseases
Papers in
- Genetics 14
- Genomics and Rare Diseases 6
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Fiona Maleady-Crowe (1 shared paper)Philippa Clare Matthews (1 shared paper)Ghanasyam Rallapalli (1 shared paper)Jean Lutamyo Mbisa (1 shared paper)Effy Vayena (1 shared paper)Gkikas Magiorkinis (1 shared paper)Tom Fowler (1 shared paper)Peter Simmonds (1 shared paper)
- Journals
- Genetics in Medicine (10 papers)Brain (5 papers)Scientific Reports (4 papers)Nature Communications (4 papers)Nature Genetics (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Lea Lahnstein
49 papers receiving 1.4k citations
Lea Lahnstein's Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 254
- Genetics 337
- Molecular Biology 699
- Pathology and Forensic Medicine 164
- Genetics 87
Countries citing papers authored by Lea Lahnstein
This map shows the geographic impact of Lea Lahnstein'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 Lea Lahnstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lea Lahnstein more than expected).
Fields of papers citing papers by Lea Lahnstein
This network shows the impact of papers produced by Lea Lahnstein. 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 Lea Lahnstein. The network helps show where Lea Lahnstein may publish in the future.
Co-authors
The 17 scholars most cited alongside Lea Lahnstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Substitution mutational signatures in whole-genome–sequenced cancers in the UK population Hit paper breakdown → | 2022 | 190 |
| 2 | 2021 | 105 | |
| 3 | 2020 | 81 | |
| 4 | 2020 | 66 | |
| 5 | 2022 | 52 | |
| 6 | 2021 | 50 | |
| 7 | 2023 | 48 | |
| 8 | 2022 | 47 | |
| 9 | 2022 | 47 | |
| 10 | 2021 | 42 | |
| 11 | 2023 | 42 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 37 | |
| 14 | 2020 | 36 | |
| 15 | 2022 | 36 | |
| 16 | 2022 | 34 | |
| 17 | 2023 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2022 | 28 | |
| 20 | 2022 | 27 |
About Lea Lahnstein
Lea Lahnstein is a scholar working on Genetics, Cancer Research, Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genomics and Rare Diseases (6 papers), Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (4 papers), Genetic factors in colorectal cancer (3 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (254 citations), Genetics (337 citations), Molecular Biology (699 citations), Pathology and Forensic Medicine (164 citations) and Genetics (87 citations). Lea Lahnstein has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Fiona Maleady-Crowe, Philippa Clare Matthews, Ghanasyam Rallapalli, Jean Lutamyo Mbisa, Effy Vayena, Gkikas Magiorkinis, Tom Fowler, Peter Simmonds, Colin S. Cooper and Richard S. Tedder. Their work appears in journals such as Genetics in Medicine, Brain, Scientific Reports, Nature Communications and Nature 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.