Eva M. Boorsma

9 papers receiving 769 citations

Hit Papers

Randomized, Double-Blind, Placebo-Controlled, Multicentre...20202026202220242020202050100150200250

Peers

Eva M. Boorsma
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 464
  • Endocrinology, Diabetes and Metabolism 366
  • Pulmonary and Respiratory Medicine 250
  • Surgery 198
  • Molecular Biology 126
Replace Devin Mahoney with:
Devin Mahoney United States
Davide Giorgi Italy
Shervin Eshaghian United States
Matteo Serenelli Italy
Nobuhiko Maejima Japan
Licette C.Y. Liu Netherlands
Anilkumar Mehra United States
Søren Lindberg Denmark
Iolanda Enea Italy
Adriaan A. Voors Netherlands
Eva M. Boorsma relative to Devin Mahoney United States Devin Mahoney's profile →
Citations per field
00.5×1.7×
Devin Mahoney · 1×
Citations per year

Countries citing papers authored by Eva M. Boorsma

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Boorsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva M. Boorsma

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Boorsma. A scholar is included among the top collaborators of Eva M. Boorsma 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 Eva M. Boorsma. Eva M. Boorsma 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 0
2 0
3 7
4 39
5 9
6 17
7 79
8 0
9 8
10
Randomized, Double-Blind, Placebo-Controlled, Multicentre Pilot Study on the Effects of Empagliflozin on Clinical Outcomes in Patients with Acute Decompensated Heart Failure (EMPA-RESPONSE-AHF)breakdown →
295
11
Congestion in heart failure: a contemporary look at physiology, diagnosis and treatmentbreakdown →
216
12 107

About Eva M. Boorsma

Eva M. Boorsma is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 777 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Heart Failure Treatment and Management (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (366 citations), Cardiology and Cardiovascular Medicine (464 citations) and Nephrology (100 citations). Eva M. Boorsma has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Adriaan A. Voors, Kevin Damman, Jozine M. ter Maaten, Hiddo J.L. Heerspink, Joost C. Beusekamp, Dirk J. van Veldhuisen, Arif Elvan, Tom D.J. Smilde, Henk P. Swart and Faı̈ez Zannad. Their work appears in journals such as European Heart Journal, Nature Reviews Cardiology and Clinical Journal of the American Society of 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.

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