Jane Antony
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
Papers in
- Oncology 7
- Cancer Cells and Metastasis 5
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- Ovarian cancer diagnosis and treatment 4
- Co-authors
- Ruby Yun‐Ju Huang (6 shared papers)Jean Paul Thiery (4 shared papers)Hani Gabra (5 shared papers)Chiara Recchi (5 shared papers)Tuan Zea Tan (3 shared papers)Mahesh Arjandas Choolani (1 shared paper)Jeffrey J. H. Low (1 shared paper)Evdoxia Karali (3 shared papers)
- Journals
- Nature (5 papers)Nature Communications (2 papers)Molecular Cancer Therapeutics (1 paper)Cells Tissues Organs (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Jane Antony
23 papers receiving 2.7k citations
Jane Antony's Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 433
- Molecular Biology 1.3k
- Physiology 326
- Neurology 91
- Oncology 230
Countries citing papers authored by Jane Antony
This map shows the geographic impact of Jane Antony'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 Jane Antony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Antony more than expected).
Fields of papers citing papers by Jane Antony
This network shows the impact of papers produced by Jane Antony. 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 Jane Antony. The network helps show where Jane Antony may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Antony, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A single-cell transcriptomic atlas characterizes ageing tissues in the mouse Hit paper breakdown → | 2020 | 828 |
| 2 | The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans Hit paper breakdown → | 2022 | 738 |
| 3 | Ageing hallmarks exhibit organ-specific temporal signatures Hit paper breakdown → | 2020 | 473 |
| 4 | 2017 | 141 | |
| 5 | 2022 | 112 | |
| 6 | 2016 | 103 | |
| 7 | 2022 | 73 | |
| 8 | 2021 | 71 | |
| 9 | 2019 | 50 | |
| 10 | 2022 | 33 | |
| 11 | 2018 | 29 | |
| 12 | 2017 | 23 | |
| 13 | 2016 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2025 | 7 | |
| 20 | 2022 | 4 |
About Jane Antony
Jane Antony is a scholar working on Oncology, Reproductive Medicine, Molecular Biology, Aging and Immunology and Allergy, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Cancer Cells and Metastasis (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Protease and Inhibitor Mechanisms (1 paper), Protein Tyrosine Phosphatases (1 paper), Alzheimer's disease research and treatments (1 paper) and Veterinary Oncology Research (1 paper). The work is most often cited by research in Aging (433 citations), Molecular Biology (1.3k citations), Physiology (326 citations), Neurology (91 citations) and Oncology (230 citations). Jane Antony has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Ruby Yun‐Ju Huang, Jean Paul Thiery, Hani Gabra, Chiara Recchi, Tuan Zea Tan, Mahesh Arjandas Choolani, Jeffrey J. H. Low, Evdoxia Karali, Michael F. Clarke and David S.P. Tan. Their work appears in journals such as Nature, Nature Communications, Molecular Cancer Therapeutics, Cells Tissues Organs and Science Advances.
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.