Germana Daidola
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 4
- Nephrology top 10%
- Renal Diseases and Glomerulopathies 3
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- Pregnancy and Medication Impact 4
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- Maternal and fetal healthcare 1
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- Renal and Vascular Pathologies 2
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- Adenosine and Purinergic Signaling 1
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- Muscle and Compartmental Disorders 1
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- Glycogen Storage Diseases and Myoclonus 1
- Co-authors
- Silvia ParisiRossella AttiniMartina FerraresiTullia TodrosFederica FassioGiorgina Barbara PiccoliNatascia CastellucciaDario Roccatello
- Journals
- Journal of Nephrology (1 paper)Clinical Kidney Journal (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)
- Partner nations
- Italy
In The Last Decade
Germana Daidola
11 papers receiving 236 citations
Peers
Comparison fields: 5 of 39
- Obstetrics and Gynecology 132
- Nephrology 69
- Public Health, Environmental and Occupational Health 130
- Pediatrics, Perinatology and Child Health 86
- Immunology 34
Countries citing papers authored by Germana Daidola
This map shows the geographic impact of Germana Daidola'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 Germana Daidola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germana Daidola more than expected).
Fields of papers citing papers by Germana Daidola
This network shows the impact of papers produced by Germana Daidola. 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 Germana Daidola. The network helps show where Germana Daidola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Germana Daidola, 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 | [Efficacy of SUPRA HFR in the treatment of acute renal damage during multiple myeloma]. | 2018 | 1 |
| 2 | 2014 | 12 | |
| 3 | 2014 | 42 | |
| 4 | 2013 | 2 | |
| 5 | 2013 | 6 | |
| 6 | 2013 | 2 | |
| 7 | 2013 | 85 | |
| 8 | 2012 | 22 | |
| 9 | 2012 | 66 | |
| 10 | [Lymphomatous renal involvement]. | 2011 | 3 |
| 11 | IL COINVOLGIMENTO RENALE NEI LINFOMI | 2010 | 1 |
About Germana Daidola
Germana Daidola is a scholar working on Nephrology, Obstetrics and Gynecology and Physiology, having authored 11 papers that have together received 242 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Pregnancy and Medication Impact (4 papers), Renal Diseases and Glomerulopathies (3 papers), Renal and Vascular Pathologies (2 papers), Adenosine and Purinergic Signaling (1 paper), Muscle and Compartmental Disorders (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper) and Maternal and fetal healthcare (1 paper). The work is most often cited by research in Obstetrics and Gynecology (132 citations), Nephrology (69 citations) and Public Health, Environmental and Occupational Health (130 citations). Germana Daidola has collaborated with scholars based in Italy. Frequent co-authors include Silvia Parisi, Rossella Attini, Martina Ferraresi, Tullia Todros, Federica Fassio, Giorgina Barbara Piccoli, Natascia Castelluccia, Dario Roccatello, Carla Naretto and Maria Chiara Deagostini. Their work appears in journals such as Journal of Nephrology, Clinical Kidney Journal, Clinical Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation and BMC Nephrology.
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.