Gibran Hemani
- Genetics top 0.05%
- Molecular Biology top 1%
- Epidemiology top 1%
- Physiology top 1%
- Surgery top 2%
- Co-authors
- George Davey SmithJack BowdenKate TillingJie ZhengPhilip HaycockDavid M. EvansCaroline L. ReltonTom R. Gaunt
- Topics
- Genetic Associations and Epidemiology (65 papers)Genetic Mapping and Diversity in Plants and Animals (29 papers)Genetic and phenotypic traits in livestock (22 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Gibran Hemani
106 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Genetics 8.3k
- Molecular Biology 4.7k
- Epidemiology 2.1k
- Physiology 1.8k
- Surgery 1.3k
Countries citing papers authored by Gibran Hemani
This map shows the geographic impact of Gibran Hemani'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 Gibran Hemani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gibran Hemani more than expected).
Fields of papers citing papers by Gibran Hemani
This network shows the impact of papers produced by Gibran Hemani. 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 Gibran Hemani. The network helps show where Gibran Hemani may publish in the future.
Co-authorship network of co-authors of Gibran Hemani
This figure shows the co-authorship network connecting the top 25 collaborators of Gibran Hemani. A scholar is included among the top collaborators of Gibran Hemani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gibran Hemani. Gibran Hemani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 29 | |
| 7 | 15 | |
| 8 | 61 | |
| 9 | 95 | |
| 10 | 28 | |
| 11 | 15 | |
| 12 | 16 | |
| 13 | 109 | |
| 14 | 176 | |
| 15 | 40 | |
| 16 | 179 | |
| 17 | LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data | 5 |
| 18 | 143 | |
| 19 | Mendelian randomization: genetic anchors for causal inference in epidemiological studiesbreakdown → | 2608 |
| 20 | Mendelianrandomization:geneticanchors forcausal inference in epidemiological studies | 1 |
About Gibran Hemani
Gibran Hemani is a scholar working on Genetics, Biological Psychiatry and Modeling and Simulation, having authored 110 papers that have together received 16.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (65 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Genetic and phenotypic traits in livestock (22 papers). The work is most often cited by research in Genetics (8.3k citations), Biological Psychiatry (246 citations) and Rheumatology (1.3k citations). Gibran Hemani has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include George Davey Smith, Jack Bowden, Kate Tilling, Jie Zheng, Philip Haycock, David M. Evans, Caroline L. Relton, Tom R. Gaunt, Denis Baird and Benjamin Elsworth. Their work appears in journals such as Nature, Nature Communications and Bioinformatics.
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.