Joy Martinez
Impact in
- Virology top 5%
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 15
- Cytomegalovirus and herpesvirus research 14
- Herpesvirus Infections and Treatments 11
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- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 3
- Co-authors
- Don J. Diamond (20 shared papers)Simon Francis Lacey (8 shared papers)Jeff Longmate (10 shared papers)Corinna La Rosa (9 shared papers)Felix Wussow (8 shared papers)Peter A. Barry (4 shared papers)Ajit P. Limaye (3 shared papers)Flavia Chiuppesi (7 shared papers)
- Journals
- Journal of Virology (4 papers)The Journal of Infectious Diseases (3 papers)Blood (3 papers)Vaccine (2 papers)npj Vaccines (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Joy Martinez
24 papers receiving 989 citations
Peers
Comparison fields: 5 of 65
- Virology 87
- Epidemiology 530
- Infectious Diseases 298
- Transplantation 32
- Parasitology 76
Countries citing papers authored by Joy Martinez
This map shows the geographic impact of Joy Martinez'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 Joy Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Martinez more than expected).
Fields of papers citing papers by Joy Martinez
This network shows the impact of papers produced by Joy Martinez. 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 Joy Martinez. The network helps show where Joy Martinez may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Martinez, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 94 | |
| 2 | 2020 | 83 | |
| 3 | 2012 | 79 | |
| 4 | 2005 | 79 | |
| 5 | 2007 | 76 | |
| 6 | 2016 | 68 | |
| 7 | 2020 | 60 | |
| 8 | 2007 | 56 | |
| 9 | Common pigmentation disorders. | 2009 | 51 |
| 10 | 2010 | 47 | |
| 11 | 2022 | 46 | |
| 12 | 2006 | 43 | |
| 13 | 2009 | 42 | |
| 14 | 2006 | 33 | |
| 15 | 2018 | 32 | |
| 16 | 1983 | 31 | |
| 17 | 2006 | 28 | |
| 18 | 2005 | 27 | |
| 19 | 2002 | 16 | |
| 20 | 2022 | 9 |
About Joy Martinez
Joy Martinez is a scholar working on Epidemiology, Immunology, Parasitology, Infectious Diseases and Virology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (14 papers), Herpesvirus Infections and Treatments (11 papers), Immunotherapy and Immune Responses (5 papers), Toxoplasma gondii Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Polyomavirus and related diseases (3 papers), Immune Cell Function and Interaction (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Virology (87 citations), Epidemiology (530 citations), Infectious Diseases (298 citations), Transplantation (32 citations) and Parasitology (76 citations). Joy Martinez has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Don J. Diamond, Simon Francis Lacey, Jeff Longmate, Corinna La Rosa, Felix Wussow, Peter A. Barry, Ajit P. Limaye, Flavia Chiuppesi, Tumul Srivastava and Wahajul Haq. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Blood, Vaccine and npj Vaccines.
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.