Eric Lipsic

500 citations
14 papers · 289 · h-index 5

Impact in

Papers in

Eric Lipsic

10 papers receiving 278 citations

Peers

Eric Lipsic
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 128
  • Immunology 109
  • Hematology 54
  • Nephrology 22
  • Emergency Medicine 24
Replace P. M. van der Zee with:
P. M. van der Zee Netherlands
R Bettini Italy
Vibeke Bratseth Norway
Ramona Merki Switzerland
Alain Tedgui France
Shuhei Miura Japan
Amelia Ravera Italy
Wenxue Hu China
Yao-Wei Wang China
Eric Lipsic relative to P. M. van der Zee Netherlands P. M. van der Zee's profile →
Citations per field
00.5×3.8×
P. M. van der Zee · 1×
Citations per year

Countries citing papers authored by Eric Lipsic

Since Specialization
Citations

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

Fields of papers citing papers by Eric Lipsic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012167
2 200861
3 201524
4 202414
5 201313
6 20223
7 20202
8
A single bolus of long-acting erythropoietin analogue darbepoetin in patients with an acute myocardial infarction: A randomized feasibility and safety study
20051
9
Anemia predicts cardiovascular events in patients with coronary artery disease
20041
10
Statin use is associated with lower EPO levels in patients with coronary artery disease
20041
11 20211
12 20221
13 20240
14 20250

About Eric Lipsic

Eric Lipsic is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, General Health Professions, Biomedical Engineering and Economics and Econometrics, having authored 14 papers that have together received 289 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (4 papers), Mechanical Circulatory Support Devices (3 papers), Hermeneutics and Narrative Identity (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Health, Medicine and Society (2 papers), Blood Pressure and Hypertension Studies (2 papers), Acute Myocardial Infarction Research (2 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (128 citations), Immunology (109 citations), Hematology (54 citations), Nephrology (22 citations) and Emergency Medicine (24 citations). Eric Lipsic has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Peter van der Meer, Dirk J. Lok, Dirk J. van Veldhuisen, Sjoukje I. Lok, Jan van Wijngaarden, Rudolf A. de Boer, Erik Badings, Wiek H. van Gilst, James L. Januzzi and Adriaan A. Voors. Their work appears in journals such as European Heart Journal, European Heart Journal Acute Cardiovascular Care, EP Europace, Catheterization and Cardiovascular Interventions and Clinical Research in Cardiology.

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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