Nina Topic

2.2k citations
18 papers · 1.8k · h-index 13

Impact in

Papers in

Nina Topic

18 papers receiving 1.6k citations

Peers

Nina Topic
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 1.5k
  • Complementary and alternative medicine 465
  • Hematology 162
  • Radiology, Nuclear Medicine and Imaging 248
  • Critical Care and Intensive Care Medicine 47
Replace Nikolay P. Nikitin with:
Nikolay P. Nikitin United Kingdom
Marco Comeglio Italy
Katarzyna Hryniewicz United States
Yoichi Inaba United States
Gyo‐Seung Hwang South Korea
Steven G. Meister United States
Erich Kvas Austria
C Montemartini Italy
Laurence H. Green United States
Valerio Zacà Italy
Nina Topic relative to Nikolay P. Nikitin United Kingdom Nikolay P. Nikitin's profile →
Citations per field
00.5×5.1×
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

18 of 18 papers shown
#Work
1 1984447
2 1985403
3 2000198
4 1983198
5 1985102
6 198491
7 198891
8 198252
9 198238
10 198228
11 198428
12 198525
13 198219
14 198411
15 19826
16 19826
17 19874
18
Converting-enzyme inhibitor therapy for chronic heart failure.
19834

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 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (8 papers), Cardiovascular and exercise physiology (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), Blood Pressure and Hypertension Studies (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Complementary and alternative medicine (465 citations), Hematology (162 citations), Radiology, Nuclear Medicine and Imaging (248 citations) and Critical Care and Intensive Care Medicine (47 citations). Nina Topic has collaborated with scholars based in United States. 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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