Michelle Hussain
- Molecular Biology
- Genetics top 5%
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Cell Biology
- Co-authors
- Edward V. BallPeter D. StensonMatthew MortAndrew D. PhillipsSally HeywoodD.N. CooperMatthew HaydenLuciano Mutti
- Topics
- Cancer-related Molecular Pathways (3 papers)Bioinformatics and Genomic Networks (2 papers)Occupational and environmental lung diseases (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Michelle Hussain
5 papers receiving 954 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 565
- Genetics 356
- Pulmonary and Respiratory Medicine 73
- Cardiology and Cardiovascular Medicine 66
- Cell Biology 66
Countries citing papers authored by Michelle Hussain
This map shows the geographic impact of Michelle Hussain'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 Michelle Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Hussain more than expected).
Fields of papers citing papers by Michelle Hussain
This network shows the impact of papers produced by Michelle Hussain. 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 Michelle Hussain. The network helps show where Michelle Hussain may publish in the future.
Co-authorship network of co-authors of Michelle Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Hussain. A scholar is included among the top collaborators of Michelle Hussain 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 Michelle Hussain. Michelle Hussain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studiesbreakdown → | 921 |
| 3 | 3 | |
| 4 | 21 | |
| 5 | Applications of p53 interactome analysis to personalised drug discovery | 2 |
| 6 | "Doing Justice to History": The Learning of African History in a North London Secondary School and Teacher Development in the Spirit of "Ubuntu". | 1 |
About Michelle Hussain
Michelle Hussain is a scholar working on Oncology, Cultural Studies and Biotechnology, having authored 6 papers that have together received 966 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Bioinformatics and Genomic Networks (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Genetics (356 citations), Molecular Biology (565 citations) and Clinical Biochemistry (40 citations). Michelle Hussain has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Edward V. Ball, Peter D. Stenson, Matthew Mort, Andrew D. Phillips, Sally Heywood, D.N. Cooper, Matthew Hayden, Luciano Mutti, Marija Krstic–Demonacos and Jean‐Marc Schwartz. Their work appears in journals such as Human Genetics, Journal of Translational Medicine and Expert Opinion on Biological Therapy.
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.