Michael Ma

81 papers receiving 1.1k citations

Peers

Michael Ma
Comparison fields: 5 of 95
  • Developmental Neuroscience 354
  • Genetics 220
  • Neurology 124
  • Cellular and Molecular Neuroscience 214
  • Cardiology and Cardiovascular Medicine 255
Replace Shinichi Oka with:
Shinichi Oka Japan
Michael A. Thornton United States
Donald Seyfried United States
Taís Hanae Kasai-Brunswick Brazil
Pao‐Sheng Yen Taiwan
Marie Théaudin France
Manja Kamprad Germany
Tetsuo Kanno Japan
Yasuo Kurimoto Japan
Yasuo Tajima Japan
Michael Ma relative to Shinichi Oka Japan Shinichi Oka's profile →
Citations per field
00.5×4.4×
Shinichi Oka · 1×
Citations per year

Countries citing papers authored by Michael Ma

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004488
2 201184
3 200662
4 201441
5 201827
6 201822
7 202021
8 202220
9 202019
10 201919
11 201815
12 201813
13 201513
14 202012
15 201911
16 202410
17 202410
18 20179
19 20189
20 20209

About Michael Ma

Michael Ma is a scholar working on Transplantation, Surgery, Epidemiology, Developmental Neuroscience and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (41 papers), Cardiac Structural Anomalies and Repair (29 papers), Cardiac Valve Diseases and Treatments (19 papers), Mechanical Circulatory Support Devices (18 papers), Aortic Disease and Treatment Approaches (17 papers), Transplantation: Methods and Outcomes (14 papers), Tracheal and airway disorders (8 papers) and Congenital Diaphragmatic Hernia Studies (8 papers). The work is most often cited by research in Developmental Neuroscience (354 citations), Genetics (220 citations), Neurology (124 citations), Cellular and Molecular Neuroscience (214 citations) and Cardiology and Cardiovascular Medicine (255 citations). Michael Ma has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Theo D. Palmer, Gary K. Steinberg, Tonya Bliss, Stephen Kelly, Guohua Sun, Joanna Masel, Naoshige Uchida, Midori A. Yenari, Irving L. Weissman and Frank L. Hanley. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, The Journal of Heart and Lung Transplantation, Journal of Clinical Oncology and Journal of the American College 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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