Daniel John

801 total citations · 1 hit paper
8 papers, 464 citations indexed

About

Daniel John is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Daniel John has authored 8 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Daniel John's work include Gut microbiota and health (4 papers), RNA modifications and cancer (2 papers) and Head and Neck Cancer Studies (2 papers). Daniel John is often cited by papers focused on Gut microbiota and health (4 papers), RNA modifications and cancer (2 papers) and Head and Neck Cancer Studies (2 papers). Daniel John collaborates with scholars based in United States and Austria. Daniel John's co-authors include Weg M. Ongkeko, Wei Tse Li, Shruti Magesh, Sharad Jain, Yuxiang Li, Eric Y. Chang, Jaideep Chakladar, Tianyi Chen, Kevin T. Brumund and Mahadevan Rajasekaran and has published in prestigious journals such as International Journal of Molecular Sciences, Cancer Letters and Cancers.

In The Last Decade

Daniel John

8 papers receiving 462 citations

Hit Papers

Disparities in COVID-19 Outcomes by Race, Ethnicity, and ... 2021 2026 2022 2024 2021 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status
    2021 427 citations Shruti Magesh, Daniel John et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel John United States 4 122 114 105 94 73 8 464
Shruti Magesh United States 4 119 1.0× 114 1.0× 116 1.1× 94 1.0× 73 1.0× 7 488
Cameron G. Gmehlin United States 4 117 1.0× 74 0.6× 88 0.8× 80 0.9× 59 0.8× 10 335
Stephanie Manson Brown United States 7 144 1.2× 143 1.3× 179 1.7× 135 1.4× 97 1.3× 13 545
Adriana Perez United States 6 145 1.2× 68 0.6× 85 0.8× 59 0.6× 52 0.7× 8 351
Julia Andrieni United States 7 179 1.5× 97 0.9× 106 1.0× 56 0.6× 63 0.9× 16 412
Clareece R. Nevill United Kingdom 7 222 1.8× 152 1.3× 131 1.2× 87 0.9× 106 1.5× 18 623
Sebastian Romano United States 5 201 1.6× 77 0.7× 62 0.6× 71 0.8× 58 0.8× 7 442
Deniz Naghibi Iran 5 81 0.7× 94 0.8× 72 0.7× 86 0.9× 75 1.0× 7 335
John Buresh United States 7 111 0.9× 84 0.7× 97 0.9× 49 0.5× 46 0.6× 11 336
Ashika Maharaj Australia 7 152 1.2× 119 1.0× 107 1.0× 68 0.7× 70 1.0× 11 547

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-authorship network of co-authors of Daniel John

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel John. A scholar is included among the top collaborators of Daniel John based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel John. Daniel John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
John, Daniel, J. Thomas Hannich, Clemens Fürnsinn, et al.. (2025). Loss of SPHK1 fuels inflammation to drive KRAS-mutated lung adenocarcinoma. Cancer Letters. 623. 217733–217733. 1 indexed citations
2.
Magesh, Shruti, Daniel John, Jaideep Chakladar, et al.. (2024). The intratumor microbiome varies by geographical location and anatomical site in head and neck squamous cell carcinoma. Current Problems in Cancer. 50. 101100–101100. 3 indexed citations
3.
Chen, Tianyi, et al.. (2024). Urinary Microbiome Dysbiosis and Immune Dysregulations as Potential Diagnostic Indicators of Bladder Cancer. Cancers. 16(2). 394–394. 5 indexed citations
4.
Magesh, Shruti, et al.. (2023). Characterization of tRNA-Derived Fragments in Lung Squamous Cell Carcinoma with Respect to Tobacco Smoke. International Journal of Molecular Sciences. 24(6). 5501–5501. 3 indexed citations
5.
6.
Chakladar, Jaideep, Daniel John, Shruti Magesh, et al.. (2022). The Intratumor Bacterial and Fungal Microbiome Is Characterized by HPV, Smoking, and Alcohol Consumption in Head and Neck Squamous Cell Carcinoma. International Journal of Molecular Sciences. 23(21). 13250–13250. 11 indexed citations
7.
John, Daniel, et al.. (2022). Effects of Human Papilloma Virus E6/E7 Oncoproteins on Genomic Structure in Head and Neck Squamous Cell Carcinoma. Cancers. 14(24). 6190–6190. 2 indexed citations
8.
Magesh, Shruti, Daniel John, Wei Tse Li, et al.. (2021). Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status. JAMA Network Open. 4(11). e2134147–e2134147. 427 indexed citations breakdown →

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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