David Krisky
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Diabetes and associated disorders
-
- Diabetes Management and Research
Papers in
- Genetics 22
- Virus-based gene therapy research 21
- Epidemiology 19
- Herpesvirus Infections and Treatments 19
- Cytomegalovirus and herpesvirus research 5
- Co-authors
- Joseph C. Glorioso (23 shared papers)Darren Wolfe (14 shared papers)William F. Goins (13 shared papers)James Wechuck (10 shared papers)David J. Fink (9 shared papers)Peggy Marconi (8 shared papers)Marina Mata (3 shared papers)James R. Goss (5 shared papers)
- Journals
- Molecular Therapy (4 papers)Neuromuscular Disorders (2 papers)Virology (2 papers)Biotechnology and Bioengineering (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesFranceRussia
In The Last Decade
David Krisky
32 papers receiving 918 citations
Peers
Comparison fields: 5 of 79
- Genetics 548
- Endocrinology, Diabetes and Metabolism 139
- Epidemiology 232
- Cellular and Molecular Neuroscience 119
- Urology 31
Countries citing papers authored by David Krisky
This map shows the geographic impact of David Krisky'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 David Krisky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Krisky more than expected).
Fields of papers citing papers by David Krisky
This network shows the impact of papers produced by David Krisky. 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 David Krisky. The network helps show where David Krisky may publish in the future.
Co-authors
The 25 scholars most cited alongside David Krisky, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 244 | |
| 2 | 2011 | 129 | |
| 3 | 2000 | 58 | |
| 4 | 1998 | 50 | |
| 5 | 2003 | 45 | |
| 6 | 2008 | 41 | |
| 7 | 2003 | 36 | |
| 8 | 1997 | 36 | |
| 9 | 2004 | 33 | |
| 10 | 2004 | 30 | |
| 11 | 2009 | 28 | |
| 12 | 1998 | 27 | |
| 13 | 2006 | 26 | |
| 14 | 2010 | 19 | |
| 15 | 2007 | 18 | |
| 16 | 2013 | 17 | |
| 17 | 2003 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 1997 | 14 | |
| 20 | 2008 | 12 |
About David Krisky
David Krisky is a scholar working on Genetics, Epidemiology, Molecular Biology, Physiology and Immunology, having authored 32 papers that have together received 958 indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), Herpesvirus Infections and Treatments (19 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Cytomegalovirus and herpesvirus research (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Pain Mechanisms and Treatments (4 papers), Viral Infections and Immunology Research (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Genetics (548 citations), Endocrinology, Diabetes and Metabolism (139 citations), Epidemiology (232 citations), Cellular and Molecular Neuroscience (119 citations) and Urology (31 citations). David Krisky has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Joseph C. Glorioso, Darren Wolfe, William F. Goins, James Wechuck, David J. Fink, Peggy Marconi, Marina Mata, James R. Goss, Johnny Ludvigsson and Jerry P. Palmer. Their work appears in journals such as Molecular Therapy, Neuromuscular Disorders, Virology, Biotechnology and Bioengineering and Journal of Clinical Oncology.
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.