Pedro Paz
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Galectins and Cancer Biology 2
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Lenore Pereira (3 shared papers)David Navarro (3 shared papers)Nilabh Shastri (3 shared papers)Sharof M. Tugizov (2 shared papers)Jean‐Bernard Le Pecq (2 shared papers)Kimberly Topp (1 shared paper)Robin Perry (1 shared paper)Nathalie Brouwenstijn (1 shared paper)
- Journals
- Virology (3 papers)Journal of Immunotherapy (2 papers)Blood (2 papers)Immunity (2 papers)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- United StatesAustriaFrance
In The Last Decade
Pedro Paz
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Immunology 364
- Epidemiology 345
- Virology 49
- Parasitology 68
- Molecular Biology 558
Countries citing papers authored by Pedro Paz
This map shows the geographic impact of Pedro Paz'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 Pedro Paz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Paz more than expected).
Fields of papers citing papers by Pedro Paz
This network shows the impact of papers produced by Pedro Paz. 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 Pedro Paz. The network helps show where Pedro Paz may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro Paz, 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 | 1993 | 194 | |
| 2 | 2005 | 158 | |
| 3 | 2003 | 138 | |
| 4 | 1999 | 108 | |
| 5 | 1986 | 94 | |
| 6 | 1997 | 90 | |
| 7 | 1992 | 80 | |
| 8 | 1994 | 67 | |
| 9 | 1997 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2009 | 23 | |
| 12 | 2016 | 20 | |
| 13 | 1998 | 13 | |
| 14 | 2017 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2004 | 1 |
About Pedro Paz
Pedro Paz is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Hematology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Herpesvirus Infections and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Hemophilia Treatment and Research (2 papers), Toxoplasma gondii Research Studies (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (364 citations), Epidemiology (345 citations), Virology (49 citations), Parasitology (68 citations) and Molecular Biology (558 citations). Pedro Paz has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Lenore Pereira, David Navarro, Nilabh Shastri, Sharof M. Tugizov, Jean‐Bernard Le Pecq, Kimberly Topp, Robin Perry, Nathalie Brouwenstijn, Brian J. Sutton and Michael J. Darsley. Their work appears in journals such as Virology, Journal of Immunotherapy, Blood, Immunity and Blood Cells Molecules and Diseases.
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.