Shila Ghazanfar
- Biophysics top 2%
- Cell Image Analysis Techniques 4
- Oncology top 10%
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 21
- Gene expression and cancer classification 11
- Gene Regulatory Network Analysis 7
- Congenital heart defects research 4
- Pluripotent Stem Cells Research 2
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- Cancer Genomics and Diagnostics 4
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- Genetic Associations and Epidemiology 2
- Co-authors
- Jean YangJohn C. MarioniCarolina GuibentifYingxin LinMatteo S. CarlinoRichard KeffordGeorgina V. LongSu Yin Lim
- Cited by
- BiophysicsOncologyMolecular Biology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Shila Ghazanfar
32 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Biophysics 155
- Oncology 309
- Molecular Biology 770
- Cancer Research 148
- Immunology 179
Countries citing papers authored by Shila Ghazanfar
This map shows the geographic impact of Shila Ghazanfar'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 Shila Ghazanfar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shila Ghazanfar more than expected).
Fields of papers citing papers by Shila Ghazanfar
This network shows the impact of papers produced by Shila Ghazanfar. 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 Shila Ghazanfar. The network helps show where Shila Ghazanfar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shila Ghazanfar, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 22 | |
| 5 | 2023 | 44 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 46 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 35 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 49 | |
| 14 | 2020 | 43 | |
| 15 | 2019 | 110 | |
| 16 | 2019 | 48 | |
| 17 | 2019 | 62 | |
| 18 | 2018 | 271 | |
| 19 | 2018 | 5 | |
| 20 | 2016 | 18 |
About Shila Ghazanfar
Shila Ghazanfar is a scholar working on Biophysics, Aging and Molecular Biology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (21 papers), Gene expression and cancer classification (11 papers), Gene Regulatory Network Analysis (7 papers), Congenital heart defects research (4 papers), Cancer Genomics and Diagnostics (4 papers), Cell Image Analysis Techniques (4 papers), Genetic Associations and Epidemiology (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Biophysics (155 citations), Oncology (309 citations) and Molecular Biology (770 citations). Shila Ghazanfar has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jean Yang, John C. Marioni, Carolina Guibentif, Yingxin Lin, Matteo S. Carlino, Richard Kefford, Georgina V. Long, Su Yin Lim, Alexander Guminski and Alexander M. Menzies. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.