Nina Topic

2.2k citations
19 papers · 1.8k · h-index 14

Impact in

Papers in

Nina Topic

18 papers receiving 1.7k citations

Peers

Nina Topic
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 1.3k
  • Complementary and alternative medicine 417
  • Hematology 144
  • Radiology, Nuclear Medicine and Imaging 221
  • Critical Care and Intensive Care Medicine 35
Replace Nikolay P. Nikitin with:
Nikolay P. Nikitin United Kingdom
Marco Comeglio Italy
Katarzyna Hryniewicz United States
Monica Failla Italy
Laurence H. Green United States
Steven G. Meister United States
Nicola Riccardo Pugliese Italy
Yoichi Inaba United States
L. Görnandt Germany
J Pombo United States
Nina Topic relative to Nikolay P. Nikitin United Kingdom Nikolay P. Nikitin's profile →
Citations per field
00.5×2×4×7.0×
Nikolay P. Nikitin · 1×
Citations per year

Countries citing papers authored by Nina Topic

Since Specialization
Citations

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

Fields of papers citing papers by Nina Topic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1984462
2 1985430
3 2000208
4 1983205
5 1985110
6 1988103
7 198495
8 198254
9 198241
10 198231
11 198428
12 198525
13 198219
14 198413
15 19827
16 19826
17 19875
18
Converting-enzyme inhibitor therapy for chronic heart failure.
19835
19 20220

About Nina Topic

Nina Topic is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Animal Science and Zoology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (8 papers), Heart Failure Treatment and Management (8 papers), Cardiovascular Function and Risk Factors (7 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pharmacological Effects and Assays (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Complementary and alternative medicine (417 citations), Hematology (144 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Critical Care and Intensive Care Medicine (35 citations). Nina Topic has collaborated with scholars based in United States and Serbia. Frequent co-authors include Barry M. Massie, Julio F. Tubau, B Krämer, Barry Kramer, Jadwiga Szlachcic, Debra Loge, Isao K. Inouye, Paul Simpson, Daniel Silverstein and Delos M. Cosgrove. Their work appears in journals such as The American Journal of Cardiology, Circulation, Journal of the American College of Cardiology, American Heart Journal and British Journal of Clinical Pharmacology.

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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