Miguel E. Ortiz
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- Pharmacy 1
- Co-authors
- Paul B. McCray (4 shared papers)Christine Wohlford-Lenane (3 shared papers)Mariah Leidinger (2 shared papers)David Kyle Meyerholz (3 shared papers)Lok-Yin Roy Wong (1 shared paper)Charles Michael Knudson (1 shared paper)Abhishek Kumar Verma (1 shared paper)Kun Li (1 shared paper)
- Journals
- Nature (2 papers)Infection Control and Hospital Epidemiology (1 paper)Radiation Research (1 paper)American Heart Journal (1 paper)ASAIO Journal (1 paper)
- Partner nations
- United StatesSpainIreland
In The Last Decade
Miguel E. Ortiz
13 papers receiving 743 citations
Miguel E. Ortiz's Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 458
- Neurology 182
- Sensory Systems 34
- Immunology 95
- Neurology 36
Countries citing papers authored by Miguel E. Ortiz
This map shows the geographic impact of Miguel E. Ortiz'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 Miguel E. Ortiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel E. Ortiz more than expected).
Fields of papers citing papers by Miguel E. Ortiz
This network shows the impact of papers produced by Miguel E. Ortiz. 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 Miguel E. Ortiz. The network helps show where Miguel E. Ortiz may publish in the future.
Co-authors
The 25 scholars most cited alongside Miguel E. Ortiz, 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 | COVID-19 treatments and pathogenesis including anosmia in K18-hACE2 mice Hit paper breakdown → | 2020 | 372 |
| 2 | 2020 | 151 | |
| 3 | 2022 | 130 | |
| 4 | 2020 | 32 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2021 | 1 |
About Miguel E. Ortiz
Miguel E. Ortiz is a scholar working on Infectious Diseases, Pharmacy, Sensory Systems, Surgery and Emergency Medical Services, having authored 13 papers that have together received 752 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Mechanical Circulatory Support Devices (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Milk Quality and Mastitis in Dairy Cows (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Infectious Diseases (458 citations), Neurology (182 citations), Sensory Systems (34 citations), Immunology (95 citations) and Neurology (36 citations). Miguel E. Ortiz has collaborated with scholars based in United States, Spain and Ireland. Frequent co-authors include Paul B. McCray, Christine Wohlford-Lenane, Mariah Leidinger, David Kyle Meyerholz, Lok-Yin Roy Wong, Charles Michael Knudson, Abhishek Kumar Verma, Kun Li, Jian Hua Zheng and Stanley M. Perlman. Their work appears in journals such as Nature, Infection Control and Hospital Epidemiology, Radiation Research, American Heart Journal and ASAIO Journal.
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.