Daniela Macconi

2.7k citations
47 papers · 2.2k indexed · h-index 26

Impact in

  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Pregnancy and preeclampsia studies

Papers in

Daniela Macconi

47 papers receiving 2.1k citations

Peers

Daniela Macconi
Comparison fields: 5 of 97
  • Nephrology 879
  • Obstetrics and Gynecology 137
  • Cardiology and Cardiovascular Medicine 344
  • Endocrinology, Diabetes and Metabolism 243
  • Immunology 299
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Macconi

Since Specialization
Citations

This map shows the geographic impact of Daniela Macconi'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 Daniela Macconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Macconi more than expected).

Fields of papers citing papers by Daniela Macconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Macconi. 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 Daniela Macconi. The network helps show where Daniela Macconi may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Macconi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Macconi Line = papers co-authored together Daniela Macconi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979206
2
Protein overload-induced NF-kappaB activation in proximal tubular cells requires H(2)O(2) through a PKC-dependent pathway.
2002184
3 2004130
4 2006126
5 2000111
6 200689
7 199088
8 200984
9 201279
10 200874
11 201472
12 200568
13 200667
14
Pathophysiologic implications of proteinuria in a rat model of progressive glomerular injury.
199267
15 202060
16 200260
17 201757
18 201646
19 198743
20 199639

About Daniela Macconi

Daniela Macconi is a scholar working on Nephrology, Geriatrics and Gerontology, Critical Care and Intensive Care Medicine, Immunology and Biochemistry, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (13 papers), Chronic Kidney Disease and Diabetes (11 papers), Renin-Angiotensin System Studies (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Complement system in diseases (3 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Nephrology (879 citations), Obstetrics and Gynecology (137 citations), Cardiology and Cardiovascular Medicine (344 citations), Endocrinology, Diabetes and Metabolism (243 citations) and Immunology (299 citations). Daniela Macconi has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Giuseppe Remuzzi, Ariela Benigni, Carla Zoja, Anna Spada, Pietro De Camilli, Marina Morigi, Andrea Remuzzi, Simona Buelli, Marina Noris and Mauro Abbate. Their work appears in journals such as American Journal Of Pathology, Journal of the American Society of Nephrology, Kidney International, American Journal of Kidney Diseases and International Journal of Molecular Sciences.

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.

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