Matthew D. Layne
Impact in
- Molecular Biology top 2%
- Heme Oxygenase-1 and Carbon Monoxide
- Kruppel-like factors research
- Cancer-related gene regulation
- Wnt/β-catenin signaling in development and cancer
- Cancer Research top 2%
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 12
- Signaling Pathways in Disease 6
- Receptor Mechanisms and Signaling 6
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- Protease and Inhibitor Mechanisms 11
- Co-authors
- Shaw‐Fang Yet (40 shared papers)Mark A. Perrella (34 shared papers)Koji Maemura (13 shared papers)Chung-Ming Hsieh (10 shared papers)Mu-En Lee (11 shared papers)Mu-En Lee (7 shared papers)Bonna Ith (8 shared papers)Xiaoli Liu (9 shared papers)
- Journals
- Journal of Biological Chemistry (20 papers)Circulation Research (6 papers)The FASEB Journal (5 papers)The Journal of Immunology (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Matthew D. Layne
80 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 3.2k
- Cancer Research 646
- Critical Care and Intensive Care Medicine 208
- Endocrine and Autonomic Systems 268
- Biochemistry 262
Countries citing papers authored by Matthew D. Layne
This map shows the geographic impact of Matthew D. Layne'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 Matthew D. Layne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Layne more than expected).
Fields of papers citing papers by Matthew D. Layne
This network shows the impact of papers produced by Matthew D. Layne. 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 Matthew D. Layne. The network helps show where Matthew D. Layne may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew D. Layne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 360 | |
| 2 | 1999 | 339 | |
| 3 | 2001 | 296 | |
| 4 | 2003 | 247 | |
| 5 | 2002 | 242 | |
| 6 | 2011 | 206 | |
| 7 | 2000 | 168 | |
| 8 | 1998 | 159 | |
| 9 | 2000 | 136 | |
| 10 | 2015 | 125 | |
| 11 | 2005 | 125 | |
| 12 | 2018 | 115 | |
| 13 | 2000 | 107 | |
| 14 | 2003 | 104 | |
| 15 | 2011 | 101 | |
| 16 | 2001 | 87 | |
| 17 | 2001 | 80 | |
| 18 | 1998 | 77 | |
| 19 | 2015 | 76 | |
| 20 | 2002 | 73 |
About Matthew D. Layne
Matthew D. Layne is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Physiology, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (12 papers), Heme Oxygenase-1 and Carbon Monoxide (12 papers), Protease and Inhibitor Mechanisms (11 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (8 papers), Connective tissue disorders research (7 papers), Signaling Pathways in Disease (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (646 citations), Critical Care and Intensive Care Medicine (208 citations), Endocrine and Autonomic Systems (268 citations) and Biochemistry (262 citations). Matthew D. Layne has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Shaw‐Fang Yet, Mark A. Perrella, Koji Maemura, Chung-Ming Hsieh, Mu-En Lee, Mu-En Lee, Bonna Ith, Xiaoli Liu, Michael T. Chin and Yen‐Hsu Chen. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research, The FASEB Journal, The Journal of Immunology and PLoS ONE.
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.