Nick Hastie
- Molecular Biology
- Physiology top 10%
- Epidemiology
- Genetics
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- You-Ying ChauJoan SlightMartin LeeAlan SerrelsOfelia M. Martínez-EstradaRoland H. StimsonRoberto BandieraBrian R. Walker
- Topics
- Renal and related cancers (8 papers)Genetic Associations and Epidemiology (4 papers)Genetic and phenotypic traits in livestock (2 papers)
- Cited by
- PhysiologyNephrologyGenetics
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Nick Hastie
21 papers receiving 866 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 391
- Physiology 272
- Epidemiology 212
- Genetics 177
- Cardiology and Cardiovascular Medicine 144
Countries citing papers authored by Nick Hastie
This map shows the geographic impact of Nick Hastie'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 Nick Hastie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Hastie more than expected).
Fields of papers citing papers by Nick Hastie
This network shows the impact of papers produced by Nick Hastie. 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 Nick Hastie. The network helps show where Nick Hastie may publish in the future.
Co-authorship network of co-authors of Nick Hastie
This figure shows the co-authorship network connecting the top 25 collaborators of Nick Hastie. A scholar is included among the top collaborators of Nick Hastie 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 Nick Hastie. Nick Hastie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 12 | |
| 3 | 33 | |
| 4 | 22 | |
| 5 | 33 | |
| 6 | 19 | |
| 7 | Using Haplotype Mapping to Uncover the Missing Heritability: A Simulation Study | 0 |
| 8 | Visceral and subcutaneous fat have different origins and evidence supports a mesothelial sourcebreakdown → | 401 |
| 9 | 38 | |
| 10 | 42 | |
| 11 | 18 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 42 | |
| 15 | WT1 is a key regulator of podocyte function | 2 |
| 16 | 1 | |
| 17 | The evolution of WT1 sequence and expression pattern in the vertebrates. | 102 |
| 18 | 35 | |
| 19 | Construction of a small Mus musculus repetitive DNA library | 1 |
| 20 | Inhibition of influenza virus replication by -amanitin | 1 |
About Nick Hastie
Nick Hastie is a scholar working on Genetics, Nephrology and Molecular Biology, having authored 24 papers that have together received 874 indexed citations. Recurring topics across this work include Renal and related cancers (8 papers), Genetic Associations and Epidemiology (4 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Physiology (272 citations), Nephrology (48 citations) and Genetics (177 citations). Nick Hastie has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include You-Ying Chau, Joan Slight, Martin Lee, Alan Serrels, Ofelia M. Martínez-Estrada, Roland H. Stimson, Roberto Bandiera, Brian R. Walker, Andreas Schedl and Ramón Muñoz‐Chápuli. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Genes & Development.
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.