Fatima Cavaleri
Impact in
- Developmental Neuroscience top 10%
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Pluripotent Stem Cells Research 11
- Renal and related cancers 6
- CRISPR and Genetic Engineering 5
- Kruppel-like factors research 1
- Peroxisome Proliferator-Activated Receptors 1
- Epigenetics and DNA Methylation 1
-
- Reproductive Biology and Fertility 5
- Co-authors
- Hans R. Schöler (11 shared papers)Michael J. Devine (1 shared paper)Tom Burdon (1 shared paper)Katrina Gwinn (1 shared paper)Petr Vodička (1 shared paper)Alison J. Thomson (1 shared paper)Nicola J. Drummond (1 shared paper)Mina Ryten (1 shared paper)
- Journals
- Stem Cells (2 papers)The EMBO Journal (1 paper)Developmental Biology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Development (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Fatima Cavaleri
12 papers receiving 773 citations
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 45
- Neurology 136
- Cellular and Molecular Neuroscience 174
- Molecular Biology 628
- Aging 16
Countries citing papers authored by Fatima Cavaleri
This map shows the geographic impact of Fatima Cavaleri'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 Fatima Cavaleri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatima Cavaleri more than expected).
Fields of papers citing papers by Fatima Cavaleri
This network shows the impact of papers produced by Fatima Cavaleri. 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 Fatima Cavaleri. The network helps show where Fatima Cavaleri may publish in the future.
Co-authors
The 25 scholars most cited alongside Fatima Cavaleri, 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 | 2011 | 388 | |
| 2 | 2003 | 121 | |
| 3 | 2005 | 75 | |
| 4 | 2005 | 73 | |
| 5 | 2010 | 45 | |
| 6 | 2007 | 31 | |
| 7 | 2007 | 23 | |
| 8 | 2001 | 11 | |
| 9 | 2006 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2004 | 8 | |
| 12 | 2009 | 2 | |
| 13 | 2009 | 0 | |
| 14 | 2009 | 0 | |
| 15 | 2004 | 0 |
About Fatima Cavaleri
Fatima Cavaleri is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 15 papers that have together received 799 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Renal and related cancers (6 papers), Reproductive Biology and Fertility (5 papers), CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (3 papers), Kruppel-like factors research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Developmental Neuroscience (45 citations), Neurology (136 citations), Cellular and Molecular Neuroscience (174 citations), Molecular Biology (628 citations) and Aging (16 citations). Fatima Cavaleri has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hans R. Schöler, Michael J. Devine, Tom Burdon, Katrina Gwinn, Petr Vodička, Alison J. Thomson, Nicola J. Drummond, Mina Ryten, Jan‐Willem Taanman and John Hardy. Their work appears in journals such as Stem Cells, The EMBO Journal, Developmental Biology, Biochemical and Biophysical Research Communications 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.