Emmanouela Repapi
- Hematology top 5%
- Acute Myeloid Leukemia Research 5
- Immunology top 10%
- IL-33, ST2, and ILC Pathways 3
- Immune Cell Function and Interaction 3
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 8
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- Genetics top 10%
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- Cancer Cells and Metastasis 4
- Co-authors
- Stephen TaylorJim R. HughesParesh VyasThomas A. MilneLaura GodfreyJelena TeleniusDaria GavriouchkinaRuth M. Williams
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Emmanouela Repapi
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Hematology 274
- Immunology 326
- Molecular Biology 900
- Cancer Research 149
- Genetics 87
Countries citing papers authored by Emmanouela Repapi
This map shows the geographic impact of Emmanouela Repapi'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 Emmanouela Repapi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanouela Repapi more than expected).
Fields of papers citing papers by Emmanouela Repapi
This network shows the impact of papers produced by Emmanouela Repapi. 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 Emmanouela Repapi. The network helps show where Emmanouela Repapi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emmanouela Repapi, 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 | 2022 | 2 | |
| 2 | 2022 | 29 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 76 | |
| 5 | 2019 | 93 | |
| 6 | 2019 | 44 | |
| 7 | 2019 | 93 | |
| 8 | 2018 | 26 | |
| 9 | 2018 | 81 | |
| 10 | 2017 | 144 | |
| 11 | 2017 | 61 | |
| 12 | 2017 | 70 | |
| 13 | A NOVEL MODEL OF HUMAN LYMPHO-MYELOID PROGENITOR HIERARCHY BASED ON SINGLE CELL FUNCTIONAL AND TRANSCRIPTIONAL ANALYSIS | 2017 | 2 |
| 14 | 2017 | 51 | |
| 15 | 2016 | 20 | |
| 16 | 2016 | 72 | |
| 17 | 2015 | 44 | |
| 18 | 2013 | 96 | |
| 19 | 2012 | 51 | |
| 20 | New Loci Associated with Lung Function and Chronic Obstructive Pulmonary Disease | 2010 | 0 |
About Emmanouela Repapi
Emmanouela Repapi is a scholar working on Aging, Hematology, Virology, Genetics and Immunology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (6 papers), Acute Myeloid Leukemia Research (5 papers), RNA Research and Splicing (5 papers), Cancer Cells and Metastasis (4 papers), RNA modifications and cancer (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (274 citations), Immunology (326 citations), Molecular Biology (900 citations), Cancer Research (149 citations) and Genetics (87 citations). Emmanouela Repapi has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Stephen Taylor, Jim R. Hughes, Paresh Vyas, Thomas A. Milne, Laura Godfrey, Jelena Telenius, Daria Gavriouchkina, Ruth M. Williams, Tatjana Sauka‐Spengler and Upeka Senanayake. Their work appears in journals such as Nature Communications, Developmental Cell, Cancer Research, Haematologica and Science Immunology.
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.