Martin Wong

18 papers receiving 527 citations

Peers

Martin Wong
Comparison fields: 5 of 76
  • Molecular Biology 376
  • Organic Chemistry 89
  • Cardiology and Cardiovascular Medicine 63
  • Immunology 51
  • Surgery 50
Replace Michael Thormann with:
Michael Thormann Germany
Gunnar J. Hanson United States
Y. V. Venkatachalapathi United States
Peter Schlieper Germany
David O. Holland United States
Ajit Kumar Sharma United States
Sandra A. Murphree United States
Eva Muñoz Spain
Shome Nath Mitra United States
Inês Alves Portugal
Martin Wong relative to Michael Thormann Germany Michael Thormann's profile →
Citations per field
00.5×3.4×
Michael Thormann · 1×
Citations per year

Countries citing papers authored by Martin Wong

Since Specialization
Citations

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

Fields of papers citing papers by Martin Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Wong

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4
Emergency stenting of vertical vein in a neonate with obstructed supracardiac total anomalous pulmonary venous drainage.
5
5 10
6 4
7 1
8 1
9 11
10 9
11 29
12 25
13 12
14 3
15
Preoperative identification of patients likely to have left ventricular dysfunction after aortic valve replacement. Participants in the Veterans Administration Cooperative Study on Valvular Heart Disease.
63
16 53
17 70
18 150
19 93
20 21

About Martin Wong

Martin Wong is a scholar working on Immunology, Genetics and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 566 indexed citations. Recurring topics across this work include Tracheal and airway disorders (4 papers), Mast cells and histamine (4 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Molecular Biology (376 citations), Pharmaceutical Science (24 citations) and Biochemistry (25 citations). Martin Wong has collaborated with scholars based in United States, Malaysia and Poland. Frequent co-authors include T. E. Thompson, Thomas W. Tillack, Margaretta Allietta, Rhoderick E. Brown, Yechezkel Barenholz, Anthony R. Gangloff, Edward D. Folland, K.E. Hammermeister, J. J. Patel and D. Craig Miller. Their work appears in journals such as Biochemistry, Analytical Biochemistry and Cochrane Database of Systematic Reviews.

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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