Novalia Sidik

18 papers receiving 470 citations

Hit Papers

Prevalence of Coronary Artery Disease and Coronary Microv...2021202620222024202150100150

Peers

Novalia Sidik
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 336
  • Radiology, Nuclear Medicine and Imaging 230
  • Surgery 173
  • Molecular Biology 39
  • Pulmonary and Respiratory Medicine 38
Replace Attila Pálinkás with:
Attila Pálinkás Hungary
Ahmed Aziz Denmark
Giuseppe Rosato Italy
Dae‐Won Sohn South Korea
Şennur Ünal Dayı Türkiye
Nicolas Delarche France
Masatsugu Iwase Japan
Árpád Lux Hungary
Mohammad Alidoosti Iran
Kenan Demır Türkiye
Novalia Sidik relative to Attila Pálinkás Hungary Attila Pálinkás's profile →
Citations per field
00.5×11.8×
Attila Pálinkás · 1×
Citations per year

Countries citing papers authored by Novalia Sidik

Since Specialization
Citations

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

Fields of papers citing papers by Novalia Sidik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Novalia Sidik

This figure shows the co-authorship network connecting the top 25 collaborators of Novalia Sidik. A scholar is included among the top collaborators of Novalia Sidik 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 Novalia Sidik. Novalia Sidik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 6
5
Prevalence of Coronary Artery Disease and Coronary Microvascular Dysfunction in Patients With Heart Failure With Preserved Ejection Fractionbreakdown →
155
6 43
7 1
8 1
9 3
10 23
11 21
12 1
13 12
14 9
15 127
16 30
17 6
18 22
19 14

About Novalia Sidik

Novalia Sidik is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 19 papers that have together received 476 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (13 papers), Coronary Interventions and Diagnostics (11 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (336 citations), Radiology, Nuclear Medicine and Imaging (230 citations) and Surgery (173 citations). Novalia Sidik has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Margaret McEntegart, Keith G. Oldroyd, Colin Berry, Thomas J. Ford, Mitchell Lindsay, Rhian M. Touyz, Mark C. Petrie, John J.V. McMurray, Ninian N. Lang and J. Paul Rocchiccioli. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal and The American Journal of 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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