Daniel John

843 citations
7 papers · 593 · 1 hit paper · h-index 5

Impact in

Papers in

Daniel John

7 papers receiving 580 citations

Daniel John's Hit Papers

Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status 2021 · 544 citations
5440+1+3Years since publication100200300400500

Peers

Daniel John
Comparison fields: 5 of 86
  • Modeling and Simulation 79
  • Infectious Diseases 185
  • Health 85
  • Clinical Psychology 56
  • Neurology 35
Replace Shruti Magesh with:
Shruti Magesh United States
Ijeoma Nnodim Opara United States
Deniz Naghibi Iran
Oluwaseyi Olulana United States
Wikum Jayatunga United Kingdom
Hilary B. Parton United States
Kevin Guerra United States
Sebastian D. Romano United States
Paul D. Sutton United Kingdom
Sean D. Browning United States
Daniel John relative to Shruti Magesh United States Shruti Magesh's profile →
Citations per field
00.5×1.5×
Shruti Magesh · 1×
Citations per year

Countries citing papers authored by Daniel John

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 11 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.

Border = papers with Daniel John Line = papers co-authored together Daniel John links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status
Hit paper breakdown →
2021544
2 202217
3 202314
4 20248
5 20245
6 20233
7 20222

About Daniel John

Daniel John is a scholar working on Otorhinolaryngology, Periodontics, Health, Epidemiology and Molecular Biology, having authored 7 papers that have together received 593 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (3 papers), Gut microbiota and health (2 papers), Cervical Cancer and HPV Research (1 paper), Urinary Tract Infections Management (1 paper), COVID-19 Clinical Research Studies (1 paper), Bladder and Urothelial Cancer Treatments (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Modeling and Simulation (79 citations), Infectious Diseases (185 citations), Health (85 citations), Clinical Psychology (56 citations) and Neurology (35 citations). Daniel John has collaborated with scholars based in United States. Frequent co-authors include Weg M. Ongkeko, Wei Tse Li, Shruti Magesh, Sharad Jain, Yuxiang Li, Eric Yao Chang, Jaideep Chakladar, Tianyi Chen, Kevin T. Brumund and Jessica Wang‐Rodriguez. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, JAMA Network Open and Current Problems in Cancer.

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.

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