Eva Hagberg

606 citations
12 papers · 385 · h-index 7

Impact in

Papers in

Eva Hagberg

12 papers receiving 371 citations

Peers

Eva Hagberg
Comparison fields: 5 of 73
  • Emergency Medicine 109
  • Infectious Diseases 62
  • Emergency Medical Services 17
  • Endocrinology, Diabetes and Metabolism 25
  • Neurology 20
Replace Halla Kamińska with:
Halla Kamińska Poland
Gwendolyn M. van der Wilden United States
James M. Prieto United States
Rachna Kataria United States
Hakeem Yusuff United Kingdom
Vincenzo Tipo Italy
Linda A. Dultz United States
Takashi Muguruma Japan
Sandra Rosillo Spain
Pauline Darbellay Farhoumand Switzerland
Eva Hagberg relative to Halla Kamińska Poland Halla Kamińska's profile →
Citations per field
00.5×3.4×
Halla Kamińska · 1×
Citations per year

Countries citing papers authored by Eva Hagberg

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hagberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202088
2 202185
3 202085
4 199256
5 201927
6 202418
7 202213
8 20184
9
Cardiac involvement in critically ill and mechanically ventilated patients with COVID-19 - a prospective, observational echocardiographic study.
20214
10 20243
11 20211
12 20221

About Eva Hagberg

Eva Hagberg is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Surgery, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (3 papers), Cardiovascular Function and Risk Factors (2 papers), Diabetes Management and Research (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Diabetes and associated disorders (1 paper), Pelvic and Acetabular Injuries (1 paper), Machine Learning in Healthcare (1 paper) and Ultrasound in Clinical Applications (1 paper). The work is most often cited by research in Emergency Medicine (109 citations), Infectious Diseases (62 citations), Emergency Medical Services (17 citations), Endocrinology, Diabetes and Metabolism (25 citations) and Neurology (20 citations). Eva Hagberg has collaborated with scholars based in Sweden, Martinique and Australia. Frequent co-authors include Araz Rawshani, Örjan Berlin, Per A.F.H. Renström, Anneli Strömsöe, Johan Herlitz, Sven‐Erik Ricksten, Christer Axelsson, Annika Rosengren, Bengt Nellgård and Martin Adiels. Their work appears in journals such as Acta Anaesthesiologica Scandinavica, European Journal of Preventive Cardiology, Prosthetics and Orthotics International, The Lancet Regional Health - Europe and European Heart Journal.

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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