Benjamin Wan

547 citations
10 papers · 412 · h-index 7

Impact in

Papers in

Benjamin Wan

10 papers receiving 407 citations

Peers

Benjamin Wan
Comparison fields: 5 of 48
  • Cardiology and Cardiovascular Medicine 250
  • Pulmonary and Respiratory Medicine 272
  • Surgery 155
  • Critical Care and Intensive Care Medicine 16
  • Epidemiology 84
Replace Mariano Cefarelli with:
Mariano Cefarelli Italy
Donald M. Botta United States
Majesh Makan United States
Rawa Arif Germany
Konstantinos Perreas Greece
Tomonobu Abe Japan
Massimo Baudo United States
Maria Cristina Donadio Abduch Brazil
Jürgen Falkensammer Austria
Naoto Morimoto Japan
Benjamin Wan relative to Mariano Cefarelli Italy Mariano Cefarelli's profile →
Citations per field
00.5×1.5×
Mariano Cefarelli · 1×
Citations per year

Countries citing papers authored by Benjamin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013113
2 2013106
3 201346
4 201344
5 201339
6 201337
7 199814
8 20136
9 20145
10 20152

About Benjamin Wan

Benjamin Wan is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Molecular Biology, having authored 10 papers that have together received 412 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (7 papers), Aortic aneurysm repair treatments (5 papers), Aortic Disease and Treatment Approaches (5 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Comparative Animal Anatomy Studies (1 paper), Intestinal Malrotation and Obstruction Disorders (1 paper) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (250 citations), Pulmonary and Respiratory Medicine (272 citations), Surgery (155 citations), Critical Care and Intensive Care Medicine (16 citations) and Epidemiology (84 citations). Benjamin Wan has collaborated with scholars based in Australia, Italy and China. Frequent co-authors include David H. Tian, Tristan D. Yan, Marco Di Eusanio, Deborah Black, Mohammad Rahnavardi, Stine Munkholm-Larsen, Friedrich W. Mohr, Nicholas T. Kouchoukos, Teruhisa Kazui and Paul G. Bannon. Their work appears in journals such as Heart, Heart Lung and Circulation, Translational Cancer Research, Anatomia Histologia Embryologia and PubMed.

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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