GA Sagnella

780 citations
12 papers · 625 indexed · h-index 8
Topics
Electrolyte and hormonal disorders (3 papers)Heart Failure Treatment and Management (3 papers)Renal function and acid-base balance (3 papers)
Partner nations
United KingdomFrance

In The Last Decade

GA Sagnella

12 papers receiving 605 citations

Peers

GA Sagnella
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 326
  • Endocrinology, Diabetes and Metabolism 213
  • Molecular Biology 194
  • Pulmonary and Respiratory Medicine 146
  • Nutrition and Dietetics 85
Replace Mary Anne Wagner with:
Mary Anne Wagner United States
Marcelo R. Choi Argentina
G. Düsterdieck United Kingdom
Robertson Ji United Kingdom
Nieves Martell Spain
NirmalaD. Markandu United Kingdom
GrahamA. Macgregor United Kingdom
Margaret Band United Kingdom
Vaidotas Urbanavičius Sweden
Claudia Jourdan Germany
GA Sagnella relative to Mary Anne Wagner United States Mary Anne Wagner's profile →
Citations per field
00.5×1.6×
Mary Anne Wagner · 1×
Citations per year

Countries citing papers authored by GA Sagnella

Since Specialization
Citations

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

Fields of papers citing papers by GA Sagnella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of GA Sagnella

This figure shows the co-authorship network connecting the top 25 collaborators of GA Sagnella. A scholar is included among the top collaborators of GA Sagnella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with GA Sagnella. GA Sagnella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 33
2 44
3 74
4 1
5 9
6 190
7 7
8 6
9
Plasma concentrations and comparisons of brain and atrial natriuretic peptide in normal subjects and in patients with essential hypertension.
59
10 1
11 188
12
Changes in plasma immunoreactive atrial natriuretic peptide in response to saline infusion or to alterations in dietary sodium intake in normal subjects.
13

About GA Sagnella

GA Sagnella is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 12 papers that have together received 625 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (3 papers), Heart Failure Treatment and Management (3 papers) and Renal function and acid-base balance (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (326 citations), Endocrinology, Diabetes and Metabolism (213 citations) and Nephrology (52 citations). GA Sagnella has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Derek G. Cook, Francesco P. Cappuccio, GA MacGregor, Emma H. Baker, Pierre Corvol, Alexandre Persu, Xavier Jeunemaı̂tre, Michelle A. Miller, Angela C. Shore and Jacqueline Barley. Their work appears in journals such as The Lancet, Journal of Human Hypertension and PubMed.

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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