Jayme Salsman
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 8
- Retinoids in leukemia and cellular processes 6
- RNA Interference and Gene Delivery 5
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 3
- Genetics 9
- Virus-based gene therapy research 9
- Co-authors
- Graham Dellaire (24 shared papers)Roy Duncan (10 shared papers)Jordan Pinder (3 shared papers)David W. Hoskin (3 shared papers)Jamie S. Mader (3 shared papers)David Conrad (1 shared paper)Deniz Top (4 shared papers)Lori Frappier (3 shared papers)
- Journals
- Journal of Virology (5 papers)Nucleic Acids Research (2 papers)Experimental Cell Research (2 papers)Journal of Biological Chemistry (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Jayme Salsman
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Microbiology 174
- Aging 50
- Molecular Biology 1.1k
- Genetics 349
- Business and International Management 24
Countries citing papers authored by Jayme Salsman
This map shows the geographic impact of Jayme Salsman'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 Jayme Salsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayme Salsman more than expected).
Fields of papers citing papers by Jayme Salsman
This network shows the impact of papers produced by Jayme Salsman. 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 Jayme Salsman. The network helps show where Jayme Salsman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayme Salsman, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 216 | |
| 2 | 2015 | 216 | |
| 3 | 2016 | 118 | |
| 4 | 2017 | 113 | |
| 5 | 2005 | 99 | |
| 6 | 2007 | 89 | |
| 7 | 2008 | 89 | |
| 8 | 2011 | 62 | |
| 9 | 2018 | 54 | |
| 10 | 2005 | 48 | |
| 11 | 2003 | 47 | |
| 12 | 2008 | 43 | |
| 13 | 2019 | 41 | |
| 14 | 2005 | 41 | |
| 15 | 2020 | 35 | |
| 16 | 2006 | 31 | |
| 17 | 2004 | 24 | |
| 18 | 2011 | 23 | |
| 19 | 2017 | 22 | |
| 20 | 2015 | 22 |
About Jayme Salsman
Jayme Salsman is a scholar working on Molecular Biology, Genetics, Cell Biology, Infectious Diseases and Oncology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (8 papers), Retinoids in leukemia and cellular processes (6 papers), RNA Interference and Gene Delivery (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Protein Degradation and Inhibitors (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Microbiology (174 citations), Aging (50 citations), Molecular Biology (1.1k citations), Genetics (349 citations) and Business and International Management (24 citations). Jayme Salsman has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Graham Dellaire, Roy Duncan, Jordan Pinder, David W. Hoskin, Jamie S. Mader, David Conrad, Deniz Top, Lori Frappier, Jennifer A. Corcoran and Roberto de Antueno. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, Experimental Cell Research, Journal of Biological Chemistry and PLoS Pathogens.
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.