Ignacio Pino
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 8
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- Advanced Biosensing Techniques and Applications 4
- Glycosylation and Glycoproteins Research 2
- Advanced biosensing and bioanalysis techniques 1
- Insect Resistance and Genetics 1
- Co-authors
- Daniel Eichinger (8 shared papers)Heng Zhu (6 shared papers)Shaohui Hu (5 shared papers)Jiang Qian (4 shared papers)Jianbo Pan (3 shared papers)Seth Blackshaw (2 shared papers)Yi Huang (2 shared papers)Lizhi Jiang (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (4 papers)Clinical and Vaccine Immunology (2 papers)mAbs (1 paper)Nature Communications (1 paper)Journal of Chromatography B (1 paper)
- Partner nations
- United StatesPuerto RicoChina
In The Last Decade
Ignacio Pino
12 papers receiving 334 citations
Peers
Comparison fields: 5 of 65
- Parasitology 61
- Radiology, Nuclear Medicine and Imaging 105
- Molecular Biology 185
- Infectious Diseases 48
- Immunology 52
Countries citing papers authored by Ignacio Pino
This map shows the geographic impact of Ignacio Pino'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 Ignacio Pino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Pino more than expected).
Fields of papers citing papers by Ignacio Pino
This network shows the impact of papers produced by Ignacio Pino. 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 Ignacio Pino. The network helps show where Ignacio Pino may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Pino, 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 | 2012 | 125 | |
| 2 | 2017 | 64 | |
| 3 | 2006 | 39 | |
| 4 | 2014 | 25 | |
| 5 | 2008 | 24 | |
| 6 | 2020 | 22 | |
| 7 | 2017 | 15 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2021 | 2 |
About Ignacio Pino
Ignacio Pino is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Infectious Diseases, Virology and Epidemiology, having authored 12 papers that have together received 338 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Advanced Biosensing Techniques and Applications (4 papers), HIV Research and Treatment (2 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Vector-Borne Animal Diseases (1 paper), Insect Resistance and Genetics (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Parasitology (61 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Molecular Biology (185 citations), Infectious Diseases (48 citations) and Immunology (52 citations). Ignacio Pino has collaborated with scholars based in United States, Puerto Rico and China. Frequent co-authors include Daniel Eichinger, Heng Zhu, Shaohui Hu, Jiang Qian, Jianbo Pan, Seth Blackshaw, Yi Huang, Lizhi Jiang, Carlos Vera and Hee Sool Rho. Their work appears in journals such as Molecular & Cellular Proteomics, Clinical and Vaccine Immunology, mAbs, Nature Communications and Journal of Chromatography B.
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.