Nazeefa Fatima
Impact in
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- Genomics and Phylogenetic Studies
- Genetics, Bioinformatics, and Biomedical Research
- Protist diversity and phylogeny
- Gene expression and cancer classification
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- Zoonotic diseases and public health
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 3
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 1
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- Scientific Computing and Data Management 2
- Co-authors
- Adam Ameur (1 shared paper)Martin Carr (1 shared paper)Ulf Gyllensten (1 shared paper)Alan O. Marron (1 shared paper)Lars Feuk (1 shared paper)Bart Cuypers (1 shared paper)Federico Bianchini (1 shared paper)Isabel Cuesta (2 shared papers)
- Journals
- PLoS Computational Biology (1 paper)Mobile DNA (1 paper)Genes (1 paper)BMC Bioinformatics (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- United KingdomSwedenNorway
In The Last Decade
Nazeefa Fatima
6 papers receiving 18 citations
Peers
Comparison fields: 5 of 14
- Molecular Biology 11
- Public Health, Environmental and Occupational Health 3
- Infectious Diseases 2
- Ecology 3
- Genetics 1
Countries citing papers authored by Nazeefa Fatima
This map shows the geographic impact of Nazeefa Fatima'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 Nazeefa Fatima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nazeefa Fatima more than expected).
Fields of papers citing papers by Nazeefa Fatima
This network shows the impact of papers produced by Nazeefa Fatima. 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 Nazeefa Fatima. The network helps show where Nazeefa Fatima may publish in the future.
Co-authors
The 25 scholars most cited alongside Nazeefa Fatima, 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 | 2019 | 6 | |
| 2 | 2020 | 4 | |
| 3 | 2018 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2018 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 |
About Nazeefa Fatima
Nazeefa Fatima is a scholar working on Molecular Biology, Information Systems and Management, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Information Systems, having authored 7 papers that have together received 18 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (3 papers), Genomics and Phylogenetic Studies (2 papers), Scientific Computing and Data Management (2 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper), Gene expression and cancer classification (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Molecular Biology (11 citations), Public Health, Environmental and Occupational Health (3 citations), Infectious Diseases (2 citations), Ecology (3 citations) and Genetics (1 citation). Nazeefa Fatima has collaborated with scholars based in United Kingdom, Sweden and Norway. Frequent co-authors include Adam Ameur, Martin Carr, Ulf Gyllensten, Alan O. Marron, Lars Feuk, Bart Cuypers, Federico Bianchini, Isabel Cuesta, Terje Klemetsen and Nadim Rahman. Their work appears in journals such as PLoS Computational Biology, Mobile DNA, Genes, BMC Bioinformatics and Frontiers in Public Health.
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.