Daniel John
Impact in
- Health top 10%
- Health disparities and outcomes
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
Papers in
-
- Gut microbiota and health 5
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 1
- Epigenetics and DNA Methylation 1
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- Cancer-related molecular mechanisms research 2
- NF-κB Signaling Pathways 1
- Co-authors
- Weg M. Ongkeko (8 shared papers)Wei Tse Li (8 shared papers)Shruti Magesh (4 shared papers)Yuxiang Li (1 shared paper)Sharad Jain (1 shared paper)Eric Y. Chang (1 shared paper)Jaideep Chakladar (6 shared papers)Tianyi Chen (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Cancers (2 papers)Cancer Letters (1 paper)Cancer Research (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
Daniel John
8 papers receiving 504 citations
Daniel John's Hit Papers
Peers
Comparison fields: 5 of 86
- Health 58
- Modeling and Simulation 24
- Infectious Diseases 78
- Clinical Psychology 70
- General Health Professions 65
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 | 463 |
| 2 | 2022 | 15 | |
| 3 | 2023 | 13 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2023 | 0 |
About Daniel John
Daniel John is a scholar working on Molecular Biology, Cancer Research, Surgery, Otorhinolaryngology and Epidemiology, having authored 9 papers that have together received 507 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Head and Neck Cancer Studies (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Health (58 citations), Modeling and Simulation (24 citations), Infectious Diseases (78 citations), Clinical Psychology (70 citations) and General Health Professions (65 citations). Daniel John has collaborated with scholars based in United States and Austria. Frequent co-authors include Weg M. Ongkeko, Wei Tse Li, Shruti Magesh, Yuxiang Li, Sharad Jain, Eric Y. Chang, Jaideep Chakladar, Tianyi Chen, Kevin T. Brumund and Mahadevan Rajasekaran. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Cancer Letters, Cancer Research and JAMA Network Open.
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.