Hana Lango Allen
- Genetics top 2%
- Diabetes and associated disorders 7
- Genomics and Rare Diseases 6
- Genomic variations and chromosomal abnormalities 4
- Genetic Associations and Epidemiology 3
- Surgery top 5%
- Pancreatic function and diabetes 10
- Molecular Biology top 10%
- RNA modifications and cancer 5
- Congenital heart defects research 4
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders 5
- Co-authors
- Andrew T. HattersleySian EllardSarah E. FlanaganMichael N. WeedonElisa De FrancoRichard CaswellJayne HoughtonCharles Shaw‐Smith
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Hana Lango Allen
30 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Genetics 1.1k
- Endocrinology, Diabetes and Metabolism 519
- Surgery 991
- Molecular Biology 791
- Immunology 222
Countries citing papers authored by Hana Lango Allen
This map shows the geographic impact of Hana Lango Allen'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 Hana Lango Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hana Lango Allen more than expected).
Fields of papers citing papers by Hana Lango Allen
This network shows the impact of papers produced by Hana Lango Allen. 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 Hana Lango Allen. The network helps show where Hana Lango Allen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hana Lango Allen, 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 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 12 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 7 | |
| 9 | 2017 | 48 | |
| 10 | 2015 | 30 | |
| 11 | 2014 | 36 | |
| 12 | 2014 | 99 | |
| 13 | 2013 | 191 | |
| 14 | 2013 | 217 | |
| 15 | 2011 | 207 | |
| 16 | 2009 | 34 | |
| 17 | Fine-mapping type 2 diabetes causal variants on chromosome 9p21 in 2000 UK cases and 3000 unselected controls | 2008 | 1 |
| 18 | 2008 | 230 | |
| 19 | A common variant in the FTO gene region is associated with BMI in the general population and predisposes to adult and childhood obesity | 2007 | 0 |
| 20 | 2007 | 38 |
About Hana Lango Allen
Hana Lango Allen is a scholar working on Genetics, Developmental Biology and Immunology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (7 papers), Genomics and Rare Diseases (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), RNA modifications and cancer (5 papers), Congenital heart defects research (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (1.1k citations), Endocrinology, Diabetes and Metabolism (519 citations) and Surgery (991 citations). Hana Lango Allen has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Andrew T. Hattersley, Sian Ellard, Sarah E. Flanagan, Michael N. Weedon, Elisa De Franco, Richard Caswell, Jayne Houghton, Charles Shaw‐Smith, Jorge Ferrer and Timothy M. Frayling. Their work appears in journals such as The Lancet, 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.