E. Berra

539 citations
17 papers · 306 · h-index 8

Impact in

Papers in

E. Berra

16 papers receiving 303 citations

Peers

E. Berra
Comparison fields: 5 of 60
  • Family Practice 73
  • Cardiology and Cardiovascular Medicine 214
  • Geriatrics and Gerontology 15
  • Endocrinology, Diabetes and Metabolism 49
  • Psychiatry and Mental health 38
Replace Sven Klebs with:
Sven Klebs Germany
Nieves Martell‐Claros Spain
Erietta Polychronopoulou Switzerland
C. Shaun Wagner United States
Lida Feyz Netherlands
Dmitrij Achelrod Germany
Kamran Aghasadeghi Iran
Silvia Di Monaco Italy
Prasart Laothavorn Thailand
Neil R Poulter United Kingdom
E. Berra relative to Sven Klebs Germany Sven Klebs's profile →
Citations per field
00.5×1.5×
Sven Klebs · 1×
Citations per year

Countries citing papers authored by E. Berra

Since Specialization
Citations

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

Fields of papers citing papers by E. Berra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Berra, 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 E. Berra Line = papers co-authored together E. Berra links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2016125
2 201642
3 201835
4 201820
5 201318
6 201816
7 201715
8 202010
9 20166
10 20186
11 20135
12 20163
13 20122
14 20171
15 20161
16 20171
17 20170

About E. Berra

E. Berra is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Psychiatry and Mental health, Family Practice and Surgery, having authored 17 papers that have together received 306 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (11 papers), Heart Rate Variability and Autonomic Control (6 papers), Renal and Vascular Pathologies (4 papers), Medication Adherence and Compliance (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Hormonal Regulation and Hypertension (2 papers), Attention Deficit Hyperactivity Disorder (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Family Practice (73 citations), Cardiology and Cardiovascular Medicine (214 citations), Geriatrics and Gerontology (15 citations), Endocrinology, Diabetes and Metabolism (49 citations) and Psychiatry and Mental health (38 citations). E. Berra has collaborated with scholars based in Italy, Belgium and France. Frequent co-authors include Alexandre Persu, Franco Rabbia, Jan A. Staessen, Pierre Wallemacq, Arnaud Capron, Michel Azizi, Aud Høieggen, Sverre E. Kjeldsen, Patricia Van der Niepen and Xavier Jeunemaı̂tre. Their work appears in journals such as Journal of Hypertension, Hypertension, Blood Pressure Monitoring, Blood Pressure and Journal of Clinical Hypertension.

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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