Martin H. Kang
- Cancer Research top 10%
- MicroRNA in disease regulation 4
- Surgery top 10%
- Cholesterol and Lipid Metabolism 12
- Congenital Diaphragmatic Hernia Studies 3
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- Peroxisome Proliferator-Activated Receptors 7
- Congenital heart defects research 2
- Biochemistry top 10%
- Lipid metabolism and biosynthesis 2
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- Drug Transport and Resistance Mechanisms 8
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- Neonatal Respiratory Health Research 3
- Co-authors
- Michael R. HaydenAlpana BhattacharjeeRoshni R. SingarajaWilleke de HaanNadeeja WijesekaraConrad P. HodgkinsonLiam R. BrunhamVictor J. Dzau
- Journals
- Circulation Research (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Journal of Lipid Research (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Martin H. Kang
22 papers receiving 975 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 260
- Surgery 529
- Molecular Biology 541
- Biochemistry 55
- Oncology 188
Countries citing papers authored by Martin H. Kang
This map shows the geographic impact of Martin H. Kang'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 H. Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin H. Kang more than expected).
Fields of papers citing papers by Martin H. Kang
This network shows the impact of papers produced by Martin H. Kang. 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 H. Kang. The network helps show where Martin H. Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin H. Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 46 | |
| 3 | 2020 | 19 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 41 | |
| 6 | 2015 | 24 | |
| 7 | 2015 | 80 | |
| 8 | 2014 | 15 | |
| 9 | 2014 | 69 | |
| 10 | 2013 | 89 | |
| 11 | 2013 | 0 | |
| 12 | 2012 | 114 | |
| 13 | 2010 | 35 | |
| 14 | 2010 | 83 | |
| 15 | 2009 | 66 | |
| 16 | 2009 | 86 | |
| 17 | 2008 | 1 | |
| 18 | 2006 | 66 | |
| 19 | 2005 | 11 | |
| 20 | 2005 | 6 |
About Martin H. Kang
Martin H. Kang is a scholar working on Surgery, Cancer Research and Oncology, having authored 24 papers that have together received 980 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), MicroRNA in disease regulation (4 papers), Congenital Diaphragmatic Hernia Studies (3 papers), Neonatal Respiratory Health Research (3 papers), Congenital heart defects research (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cancer Research (260 citations), Surgery (529 citations) and Molecular Biology (541 citations). Martin H. Kang has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Michael R. Hayden, Alpana Bhattacharjee, Roshni R. Singaraja, Willeke de Haan, Nadeeja Wijesekara, Conrad P. Hodgkinson, Liam R. Brunham, Victor J. Dzau, Bernard Thébaud and Shaun S. Sanders. Their work appears in journals such as Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research, Clinical Genetics and Journal of the Association for Information Systems.
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.