Rahima Patel
Impact in
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 2
- Cell Biology 11
- Zebrafish Biomedical Research Applications 11
- Co-authors
- Georges Lacaud (13 shared papers)Valérie Kouskoff (11 shared papers)Amal Shervington (9 shared papers)Monika Stefańska (4 shared papers)Elli Marinopoulou (4 shared papers)Christophe Lancrin (3 shared papers)Mark D. Starr (1 shared paper)Mervin C. Yöder (1 shared paper)
- Journals
- Blood (3 papers)Brain Research (2 papers)Gene (1 paper)Cell Reports (1 paper)Development (1 paper)
- Partner nations
- United KingdomItalyCanada
In The Last Decade
Rahima Patel
23 papers receiving 893 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 478
- Hematology 213
- Immunology 208
- Molecular Biology 516
- Cancer Research 79
Countries citing papers authored by Rahima Patel
This map shows the geographic impact of Rahima Patel'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 Rahima Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahima Patel more than expected).
Fields of papers citing papers by Rahima Patel
This network shows the impact of papers produced by Rahima Patel. 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 Rahima Patel. The network helps show where Rahima Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahima Patel, 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 | 2015 | 166 | |
| 2 | 2001 | 135 | |
| 3 | 2012 | 127 | |
| 4 | 2014 | 60 | |
| 5 | 2007 | 39 | |
| 6 | 2021 | 38 | |
| 7 | 2018 | 37 | |
| 8 | 2008 | 36 | |
| 9 | 2016 | 36 | |
| 10 | 2017 | 31 | |
| 11 | 2020 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2007 | 21 | |
| 14 | 2008 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2010 | 16 | |
| 17 | 2016 | 14 | |
| 18 | 2008 | 14 | |
| 19 | 2009 | 13 | |
| 20 | 2006 | 9 |
About Rahima Patel
Rahima Patel is a scholar working on Molecular Biology, Cell Biology, Physiology, Hematology and Cancer Research, having authored 23 papers that have together received 901 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (11 papers), Telomeres, Telomerase, and Senescence (6 papers), Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (4 papers), MicroRNA in disease regulation (3 papers), DNA Repair Mechanisms (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cell Biology (478 citations), Hematology (213 citations), Immunology (208 citations), Molecular Biology (516 citations) and Cancer Research (79 citations). Rahima Patel has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Georges Lacaud, Valérie Kouskoff, Amal Shervington, Monika Stefańska, Elli Marinopoulou, Christophe Lancrin, Mark D. Starr, Mervin C. Yöder, Anne D. Koniski and Rebecca J. Chan. Their work appears in journals such as Blood, Brain Research, Gene, Cell Reports and Development.
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.