Debora Bogani
Impact in
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Genetic and Kidney Cyst Diseases
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
- Genetics 16
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 8
- Animal Genetics and Reproduction 4
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Andy GreenfieldPam SiggersJ. MurdochSara WellsNick WarrMichael CheesemanRachel BrixeyLaura L. Yates
- Journals
- PLoS ONE (3 papers)Human Molecular Genetics (2 papers)Developmental Biology (2 papers)Development (2 papers)Italian Journal of Animal Science (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Debora Bogani
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Genetics 615
- Cell Biology 324
- Molecular Biology 1.2k
- Reproductive Medicine 132
- Sensory Systems 58
Countries citing papers authored by Debora Bogani
This map shows the geographic impact of Debora Bogani'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 Debora Bogani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Bogani more than expected).
Fields of papers citing papers by Debora Bogani
This network shows the impact of papers produced by Debora Bogani. 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 Debora Bogani. The network helps show where Debora Bogani may publish in the future.
Co-authors
The 25 scholars most cited alongside Debora Bogani, 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 | 2014 | 23 | |
| 2 | 2014 | 14 | |
| 3 | 2014 | 5 | |
| 4 | 2014 | 23 | |
| 5 | 2013 | 27 | |
| 6 | 2013 | 37 | |
| 7 | 2012 | 107 | |
| 8 | 2012 | 65 | |
| 9 | 2011 | 138 | |
| 10 | 2011 | 143 | |
| 11 | 2011 | 54 | |
| 12 | 2010 | 122 | |
| 13 | 2009 | 104 | |
| 14 | 2008 | 69 | |
| 15 | 2007 | 7 | |
| 16 | 2006 | 260 | |
| 17 | 2006 | 21 | |
| 18 | 2004 | 56 | |
| 19 | 2004 | 22 | |
| 20 | Use of AFLP and SAMPL markers for the analysis of the genetic variability of three sheep groups belonging to the Appenninica, Massese and Suffolk breeds. | 2001 | 1 |
About Debora Bogani
Debora Bogani is a scholar working on Genetics, Developmental Biology, Reproductive Medicine, Molecular Biology and Physiology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Reproductive Biology and Fertility (5 papers), Renal and related cancers (5 papers), Sexual Differentiation and Disorders (4 papers), Animal Genetics and Reproduction (4 papers), Cancer-related gene regulation (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Genetics (615 citations), Cell Biology (324 citations), Molecular Biology (1.2k citations), Reproductive Medicine (132 citations) and Sensory Systems (58 citations). Debora Bogani has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andy Greenfield, Pam Siggers, J. Murdoch, Sara Wells, Nick Warr, Michael Cheeseman, Rachel Brixey, Laura L. Yates, Charlotte Dean and Helen Hilton. Their work appears in journals such as PLoS ONE, Human Molecular Genetics, Developmental Biology, Development and Italian Journal of Animal Science.
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.