Tamara Kovačević-Preradović

1.5k citations
30 papers · 227 · h-index 9

Impact in

Papers in

Tamara Kovačević-Preradović

22 papers receiving 220 citations

Peers

Tamara Kovačević-Preradović
Comparison fields: 5 of 44
  • Internal Medicine 33
  • Cardiology and Cardiovascular Medicine 110
  • Physiology 37
  • Genetics 12
  • Epidemiology 36
Replace Takaaki Nakamoto with:
Takaaki Nakamoto Japan
Charles Andrews United States
Yelda Tayyareci Türkiye
Verena Tscholl Germany
James L. Laws United States
Gb Ambrosio Italy
Eleonora Russo Italy
Min‐Soo Ahn South Korea
Peter Vaško Czechia
Maciej Kubala France
Tamara Kovačević-Preradović relative to Takaaki Nakamoto Japan Takaaki Nakamoto's profile →
Citations per field
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Takaaki Nakamoto · 1×
Citations per year

Countries citing papers authored by Tamara Kovačević-Preradović

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Kovačević-Preradović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara Kovačević-Preradović. 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 Tamara Kovačević-Preradović. The network helps show where Tamara Kovačević-Preradović may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200866
2 200830
3 202317
4 201414
5 201912
6 201611
7 202210
8 202310
9 20208
10 20238
11 20078
12 20198
13 20205
14 20194
15 20203
16 20233
17 20222
18 20232
19 20202
20 20201

About Tamara Kovačević-Preradović

Tamara Kovačević-Preradović is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 227 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (11 papers), Acute Ischemic Stroke Management (4 papers), Cardiovascular Function and Risk Factors (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Diabetes Treatment and Management (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Organ Donation and Transplantation (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Internal Medicine (33 citations), Cardiology and Cardiovascular Medicine (110 citations), Physiology (37 citations), Genetics (12 citations) and Epidemiology (36 citations). Tamara Kovačević-Preradović has collaborated with scholars based in Bosnia and Herzegovina, Serbia and Poland. Frequent co-authors include Burkhardt Seifert, Rolf Jenni, Christine H. Attenhofer Jost, G. Noll, Erwin Oechslin, Bojan Stanetić, Andrea Fischer, M Zuber, U. Widmer and Gustav K. von Schulthess. Their work appears in journals such as International Journal of Cardiology, Neuropediatrics, Thrombosis Research, Clinica Chimica Acta and 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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