Ralph L. Widya

861 citations
20 papers · 529 · h-index 11

Impact in

Papers in

Ralph L. Widya

19 papers receiving 525 citations

Peers

Ralph L. Widya
Comparison fields: 5 of 64
  • Cardiology and Cardiovascular Medicine 143
  • Endocrine and Autonomic Systems 29
  • Rheumatology 58
  • Physiology 91
  • Endocrinology, Diabetes and Metabolism 48
Replace Liang Su with:
Liang Su China
Ersel Onrat Türkiye
Niels C. F. Sandgaard Denmark
Tokihisa Nagai Japan
Ömür Kuru Türkiye
Hüseyin Doruk Türkiye
Daneshvari R. Solanki United States
Xiaoling Hou China
Yasumasa Yamamoto Japan
L Mangiardi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Ralph L. Widya

Since Specialization
Citations

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

Fields of papers citing papers by Ralph L. Widya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph L. Widya. 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 Ralph L. Widya. The network helps show where Ralph L. Widya may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201895
2 201494
3 201256
4 201348
5 201147
6 201544
7 202134
8 201228
9 201525
10 201616
11 202111
12 20218
13 20207
14 20176
15 20134
16 20212
17 20172
18 20201
19 20131
20 20120

About Ralph L. Widya

Ralph L. Widya is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine, having authored 20 papers that have together received 529 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Cardiovascular Disease and Adiposity (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (143 citations), Endocrine and Autonomic Systems (29 citations), Rheumatology (58 citations), Physiology (91 citations) and Endocrinology, Diabetes and Metabolism (48 citations). Ralph L. Widya has collaborated with scholars based in Netherlands, Italy and Belarus. Frequent co-authors include Albert de Roos, Hildo J. Lamb, Frits R. Rosendaal, Martin den Heijer, Johannes W. A. Smit, Renée de Mutsert, Saskia le Cessie, Karin B. Gast, Eelco J.P. de Koning and J. Wouter Jukema. Their work appears in journals such as Radiology, Journal of Cardiovascular Magnetic Resonance, Nutrition Metabolism and Cardiovascular Diseases, Arthritis Research & Therapy and International journal of cardiac imaging.

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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