Songran Yang

28 papers receiving 534 citations

Peers

Songran Yang
Comparison fields: 5 of 90
  • Rehabilitation 47
  • Geriatrics and Gerontology 21
  • Psychiatry and Mental health 79
  • Neurology 38
  • Cardiology and Cardiovascular Medicine 95
Replace Francesco Arba with:
Francesco Arba Italy
Yuan Qiao China
Chunrong Tao China
Beata Łabuz-Roszak Poland
Hanna Johansson Sweden
Seongjin Choi United States
Sylvie De Raedt Belgium
Andreas Rogalewski Germany
Marco Frontoni Italy
Sabrina Debruxelles France
Songran Yang relative to Francesco Arba Italy Francesco Arba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Songran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Songran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012104
2 201976
3 201743
4 201433
5 201531
6 201529
7 201728
8 201326
9 201424
10
Erysipelothrix rhusiopathiae-induced aortic valve endocarditis: case report and literature review.
201518
11 201513
12 201813
13 201712
14 201711
15 202311
16 202010
17 20189
18 20149
19 20229
20 20138

About Songran Yang

Songran Yang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Genetics and Neurology, having authored 29 papers that have together received 547 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Mesenchymal stem cell research (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Rehabilitation (47 citations), Geriatrics and Gerontology (21 citations), Psychiatry and Mental health (79 citations), Neurology (38 citations) and Cardiology and Cardiovascular Medicine (95 citations). Songran Yang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Ping Hua, Jun Tao, Rongjun Zou, Wanting Shi, Ben Schmand, Willem A. van Gool, Eric P. Moll van Charante, Edo Richard, Piet Eikelenboom and Suzanne A. Ligthart. Their work appears in journals such as BioMed Research International, PLoS ONE, Circulation Cardiovascular Imaging, Experimental Biology and Medicine and Nutrition Metabolism and Cardiovascular Diseases.

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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