Heinner Guio
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Genetics top 10%
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
- Genomics and Rare Diseases
- Race, Genetics, and Society
Papers in
-
- Tuberculosis Research and Epidemiology 21
- Genetics 17
- Genetic Associations and Epidemiology 6
- Forensic and Genetic Research 6
- Genomics and Rare Diseases 4
- Race, Genetics, and Society 4
- Co-authors
- Kelly S. Levano (13 shared papers)David D. Tarazona (15 shared papers)Marco Galarza (11 shared papers)César Sánchez (11 shared papers)Pedro O. Flores-Villanueva (3 shared papers)Timothy D. O’Connor (7 shared papers)Matthew J Saunders (2 shared papers)Eduardo Tarazona‐Santos (10 shared papers)
- Journals
- Frontiers in Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (2 papers)Cell Genomics (2 papers)Pharmacology Research & Perspectives (2 papers)
- Partner nations
- PeruUnited StatesBrazil
In The Last Decade
Heinner Guio
57 papers receiving 829 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 237
- Genetics 263
- Pharmacology 52
- Epidemiology 149
- Cancer Research 47
Countries citing papers authored by Heinner Guio
This map shows the geographic impact of Heinner Guio'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 Heinner Guio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinner Guio more than expected).
Fields of papers citing papers by Heinner Guio
This network shows the impact of papers produced by Heinner Guio. 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 Heinner Guio. The network helps show where Heinner Guio may publish in the future.
Co-authors
The 25 scholars most cited alongside Heinner Guio, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2022 | 74 | |
| 3 | 2020 | 63 | |
| 4 | 2020 | 48 | |
| 5 | 2017 | 48 | |
| 6 | 2019 | 39 | |
| 7 | 2010 | 33 | |
| 8 | 2020 | 32 | |
| 9 | 2012 | 28 | |
| 10 | 2016 | 25 | |
| 11 | 2012 | 22 | |
| 12 | 2018 | 22 | |
| 13 | Method for efficient storage and transportation of sputum specimens for molecular testing of tuberculosis. | 2006 | 21 |
| 14 | 2024 | 21 | |
| 15 | 2018 | 17 | |
| 16 | 2006 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2011 | 14 | |
| 19 | 2024 | 14 | |
| 20 | 2014 | 14 |
About Heinner Guio
Heinner Guio is a scholar working on Infectious Diseases, Genetics, Pharmacology, Epidemiology and Immunology, having authored 61 papers that have together received 860 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (9 papers), Genetic Associations and Epidemiology (6 papers), Forensic and Genetic Research (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Genomics and Rare Diseases (4 papers), Race, Genetics, and Society (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Infectious Diseases (237 citations), Genetics (263 citations), Pharmacology (52 citations), Epidemiology (149 citations) and Cancer Research (47 citations). Heinner Guio has collaborated with scholars based in Peru, United States and Brazil. Frequent co-authors include Kelly S. Levano, David D. Tarazona, Marco Galarza, César Sánchez, Pedro O. Flores-Villanueva, Timothy D. O’Connor, Matthew J Saunders, Eduardo Tarazona‐Santos, Carlton A. Evans and Daniel Harris. Their work appears in journals such as Frontiers in Genetics, Proceedings of the National Academy of Sciences, The Journal of Immunology, Cell Genomics and Pharmacology Research & Perspectives.
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.