Lawrence T. Bish
- Genetics top 5%
- Virus-based gene therapy research 16
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- Viral Infections and Immunology Research 12
- Cardiomyopathy and Myosin Studies 10
- Biomaterials top 5%
- Molecular Biology top 10%
- Muscle Physiology and Disorders 9
- Viral Infectious Diseases and Gene Expression in Insects 7
- RNA Interference and Gene Delivery 3
- Cell Biology top 5%
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- Tissue Engineering and Regenerative Medicine 3
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- Liver physiology and pathology 3
- Co-authors
- H. Lee SweeneyKevin MorineY. Joseph WooVasant JayasankarTimothy J. PirolliTimothy J. GardnerMeg M. SleeperMark F. Berry
- Partner nations
- United StatesChinaGermany
In The Last Decade
Lawrence T. Bish
37 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 298
- Cardiology and Cardiovascular Medicine 618
- Biomaterials 283
- Molecular Biology 1.1k
- Cell Biology 249
Countries citing papers authored by Lawrence T. Bish
This map shows the geographic impact of Lawrence T. Bish'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 Lawrence T. Bish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence T. Bish more than expected).
Fields of papers citing papers by Lawrence T. Bish
This network shows the impact of papers produced by Lawrence T. Bish. 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 Lawrence T. Bish. The network helps show where Lawrence T. Bish may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lawrence T. Bish, 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 | 2014 | 3 | |
| 2 | 2013 | 27 | |
| 3 | 2011 | 51 | |
| 4 | 2011 | 18 | |
| 5 | 2011 | 14 | |
| 6 | 2011 | 2 | |
| 7 | 2010 | 108 | |
| 8 | 2010 | 7 | |
| 9 | 2010 | 32 | |
| 10 | 2010 | 10 | |
| 11 | 2010 | 56 | |
| 12 | 2010 | 3 | |
| 13 | 2009 | 5 | |
| 14 | Mesenchymal stem cell injection after myocardial infarction improves myocardial compliancebreakdown → | 2006 | 546 |
| 15 | 2005 | 66 | |
| 16 | 2004 | 17 | |
| 17 | 2004 | 15 | |
| 18 | 2004 | 80 | |
| 19 | 2003 | 1 | |
| 20 | 2003 | 36 |
About Lawrence T. Bish
Lawrence T. Bish is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Hepatology and Surgery, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Viral Infections and Immunology Research (12 papers), Cardiomyopathy and Myosin Studies (10 papers), Muscle Physiology and Disorders (9 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Tissue Engineering and Regenerative Medicine (3 papers), Liver physiology and pathology (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Genetics (298 citations), Cardiology and Cardiovascular Medicine (618 citations), Biomaterials (283 citations), Molecular Biology (1.1k citations) and Cell Biology (249 citations). Lawrence T. Bish has collaborated with scholars based in United States, China and Germany. Frequent co-authors include H. Lee Sweeney, Kevin Morine, Y. Joseph Woo, Vasant Jayasankar, Timothy J. Pirolli, Timothy J. Gardner, Meg M. Sleeper, Mark F. Berry, Dennis E. Discher and Adam J. Engler. Their work appears in journals such as Human Gene Therapy, PLoS ONE, Circulation, Journal of Thoracic and Cardiovascular Surgery and Muscle & Nerve.
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.