Daniel John
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Health disparities and outcomes
Papers in
-
- Gut microbiota and health 4
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 1
- Genomics and Phylogenetic Studies 1
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- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Co-authors
- Wei Tse Li (7 shared papers)Weg M. Ongkeko (7 shared papers)Shruti Magesh (4 shared papers)Yuxiang Li (1 shared paper)Eric Y. Chang (1 shared paper)Sharad Jain (1 shared paper)Jaideep Chakladar (5 shared papers)Tianyi Chen (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Cancers (2 papers)JAMA Network Open (1 paper)Current Problems in Cancer (1 paper)Cancer Letters (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
Daniel John
8 papers receiving 462 citations
Daniel John's Hit Papers
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 44
- Health 73
- Infectious Diseases 122
- Clinical Psychology 114
- Critical Care and Intensive Care Medicine 20
Countries citing papers authored by Daniel John
This map shows the geographic impact of Daniel John'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 Daniel John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel John more than expected).
Fields of papers citing papers by Daniel John
This network shows the impact of papers produced by Daniel John. 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 Daniel John. The network helps show where Daniel John may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel John, 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 | Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status Hit paper breakdown → | 2021 | 427 |
| 2 | 2023 | 12 | |
| 3 | 2022 | 11 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2025 | 1 |
About Daniel John
Daniel John is a scholar working on Molecular Biology, Cancer Research, Surgery, Otorhinolaryngology and General Health Professions, having authored 8 papers that have together received 464 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Head and Neck Cancer Studies (2 papers), MicroRNA in disease regulation (1 paper), Food Security and Health in Diverse Populations (1 paper), RNA and protein synthesis mechanisms (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Modeling and Simulation (44 citations), Health (73 citations), Infectious Diseases (122 citations), Clinical Psychology (114 citations) and Critical Care and Intensive Care Medicine (20 citations). Daniel John has collaborated with scholars based in United States and Austria. Frequent co-authors include Wei Tse Li, Weg M. Ongkeko, Shruti Magesh, Yuxiang Li, Eric Y. Chang, Sharad Jain, Jaideep Chakladar, Tianyi Chen, Mahadevan Rajasekaran and Kevin T. Brumund. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, JAMA Network Open, Current Problems in Cancer and Cancer Letters.
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.