Francesca Pignoni
Impact in
- Aging top 5%
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Neurobiology and Insect Physiology Research 14
- Aging 1
- Co-authors
- S Lawrence ZipurskyEirı́kur Steingrı́mssonJudith A. LengyelBirong HuPaul GarrityJian XiaoKenton H. ZavitzKristy L. Kenyon
- Journals
- Developmental Biology (6 papers)genesis (4 papers)Development (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Cell Science (3 papers)
- Partner nations
- United StatesPortugalIceland
In The Last Decade
Francesca Pignoni
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Aging 69
- Cellular and Molecular Neuroscience 610
- Cell Biology 547
- Molecular Biology 2.1k
- Genetics 472
Countries citing papers authored by Francesca Pignoni
This map shows the geographic impact of Francesca Pignoni'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 Francesca Pignoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Pignoni more than expected).
Fields of papers citing papers by Francesca Pignoni
This network shows the impact of papers produced by Francesca Pignoni. 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 Francesca Pignoni. The network helps show where Francesca Pignoni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesca Pignoni, 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 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 6 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 60 | |
| 10 | Can Fly Photoreceptors Lead to Treatments for RhoP23H-Linked Retinitis Pigmentosa? | 2013 | 1 |
| 11 | 2011 | 8 | |
| 12 | 2010 | 25 | |
| 13 | 2005 | 35 | |
| 14 | 2005 | 4 | |
| 15 | 2005 | 50 | |
| 16 | 2004 | 181 | |
| 17 | 2003 | 126 | |
| 18 | 1997 | 494 | |
| 19 | 1996 | 13 | |
| 20 | The Drosophila gene tailless is expressed at the embryonic termini and is a member of the steroid receptor superfamily Hit paper breakdown → | 1990 | 318 |
About Francesca Pignoni
Francesca Pignoni is a scholar working on Cellular and Molecular Neuroscience, Aging, Cell Biology, Molecular Biology and Energy Engineering and Power Technology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (21 papers), Neurobiology and Insect Physiology Research (14 papers), Retinal Development and Disorders (8 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Ubiquitin and proteasome pathways (7 papers), Genomics and Chromatin Dynamics (5 papers), Head and Neck Anomalies (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Aging (69 citations), Cellular and Molecular Neuroscience (610 citations), Cell Biology (547 citations), Molecular Biology (2.1k citations) and Genetics (472 citations). Francesca Pignoni has collaborated with scholars based in United States, Portugal and Iceland. Frequent co-authors include S Lawrence Zipursky, Eirı́kur Steingrı́msson, Judith A. Lengyel, Birong Hu, Paul Garrity, Jian Xiao, Kenton H. Zavitz, Kristy L. Kenyon, Swati Ranade and Sally A. Moody. Their work appears in journals such as Developmental Biology, genesis, Development, Proceedings of the National Academy of Sciences and Journal of Cell 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.