Rafael E. Hernandez
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- interferon and immune responses 3
- Immune cells in cancer 3
-
- Retinoids in leukemia and cellular processes 2
- Co-authors
- Cecilia B. Moens (5 shared papers)Lalita Ramakrishnan (3 shared papers)David M. Tobin (2 shared papers)Kevin B. Urdahl (2 shared papers)C.J. Cambier (1 shared paper)Christine L. Cosma (1 shared paper)Ryan Larson (1 shared paper)Kevin K. Takaki (1 shared paper)
- Journals
- Development (3 papers)Cell Death and Disease (1 paper)Nature (1 paper)Developmental Biology (1 paper)Neonatology (1 paper)
- Partner nations
- United StatesUnited KingdomPeru
In The Last Decade
Rafael E. Hernandez
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Cell Biology 258
- Infectious Diseases 261
- Immunology 285
- Molecular Biology 618
- Developmental Neuroscience 31
Countries citing papers authored by Rafael E. Hernandez
This map shows the geographic impact of Rafael E. Hernandez'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 Rafael E. Hernandez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael E. Hernandez more than expected).
Fields of papers citing papers by Rafael E. Hernandez
This network shows the impact of papers produced by Rafael E. Hernandez. 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 Rafael E. Hernandez. The network helps show where Rafael E. Hernandez may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael E. Hernandez, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 353 | |
| 2 | 2006 | 179 | |
| 3 | 2001 | 133 | |
| 4 | 2009 | 103 | |
| 5 | 2004 | 94 | |
| 6 | 2017 | 88 | |
| 7 | 2018 | 57 | |
| 8 | 2019 | 43 | |
| 9 | 2019 | 28 | |
| 10 | 1998 | 28 | |
| 11 | 2021 | 21 | |
| 12 | 2018 | 19 | |
| 13 | 2019 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 9 | |
| 19 | 1997 | 2 | |
| 20 | 2023 | 2 |
About Rafael E. Hernandez
Rafael E. Hernandez is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Food Science, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Agricultural and Food Production Studies (4 papers), Cystic Fibrosis Research Advances (3 papers), Antibiotic Resistance in Bacteria (3 papers), interferon and immune responses (3 papers), Zebrafish Biomedical Research Applications (3 papers), Immune cells in cancer (3 papers), Plant and soil sciences (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cell Biology (258 citations), Infectious Diseases (261 citations), Immunology (285 citations), Molecular Biology (618 citations) and Developmental Neuroscience (31 citations). Rafael E. Hernandez has collaborated with scholars based in United States, United Kingdom and Peru. Frequent co-authors include Cecilia B. Moens, Lalita Ramakrishnan, David M. Tobin, Kevin B. Urdahl, C.J. Cambier, Christine L. Cosma, Ryan Larson, Kevin K. Takaki, Jonathan P. Myers and Aaron P. Putzke. Their work appears in journals such as Development, Cell Death and Disease, Nature, Developmental Biology and Neonatology.
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.