Samuel A. Lambert
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
- Co-authors
- Timothy R. HughesMihai AlbuMatthew T. WeirauchYimeng YinLaura F. CampitelliJussi TaipalePratyush Kumar DasArttu Jolma
- Journals
- Nature Genetics (3 papers)Nature Communications (3 papers)G3 Genes Genomes Genetics (1 paper)Human Molecular Genetics (1 paper)European Heart Journal (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Samuel A. Lambert
15 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Aging 71
- Molecular Biology 2.0k
- Cancer Research 406
- Genetics 691
- Immunology 236
Countries citing papers authored by Samuel A. Lambert
This map shows the geographic impact of Samuel A. Lambert'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 Samuel A. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel A. Lambert more than expected).
Fields of papers citing papers by Samuel A. Lambert
This network shows the impact of papers produced by Samuel A. Lambert. 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 Samuel A. Lambert. The network helps show where Samuel A. Lambert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samuel A. Lambert, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 33 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 76 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 34 | |
| 9 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation Hit paper breakdown → | 2021 | 320 |
| 10 | Towards clinical utility of polygenic risk scores Hit paper breakdown → | 2019 | 329 |
| 11 | 2019 | 81 | |
| 12 | The Human Transcription Factors Hit paper breakdown → | 2018 | 2049 |
| 13 | 2017 | 17 | |
| 14 | 2016 | 12 | |
| 15 | 2015 | 70 | |
| 16 | 2013 | 44 |
About Samuel A. Lambert
Samuel A. Lambert is a scholar working on Aging, Genetics, Molecular Biology, Organizational Behavior and Human Resource Management and Physiology, having authored 16 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), Genetic and phenotypic traits in livestock (3 papers), BRCA gene mutations in cancer (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Aging (71 citations), Molecular Biology (2.0k citations), Cancer Research (406 citations), Genetics (691 citations) and Immunology (236 citations). Samuel A. Lambert has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Timothy R. Hughes, Mihai Albu, Matthew T. Weirauch, Yimeng Yin, Laura F. Campitelli, Jussi Taipale, Pratyush Kumar Das, Arttu Jolma, Xiaoting Chen and Michael Inouye. Their work appears in journals such as Nature Genetics, Nature Communications, G3 Genes Genomes Genetics, Human Molecular Genetics and European Heart Journal.
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.