Benjamin R. Weeder

890 citations
8 papers · 459 indexed · h-index 4

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Immunotherapy and Immune Responses
    • Immune responses and vaccinations

Papers in

Benjamin R. Weeder

8 papers receiving 453 citations

Peers

Benjamin R. Weeder
Comparison fields: 5 of 66
  • Infectious Diseases 314
  • Immunology 143
  • Modeling and Simulation 24
  • Neurology 67
  • Obstetrics and Gynecology 28
Replace Austin Nguyen with:
Austin Nguyen United States
Simon Eschweiler United Kingdom
Benjamin J. Meckiff United Kingdom
Kening Li China
Litao Yang China
Shoji Yokochi Japan
Arul Nancy India
Verena Haselmann Germany
Ioan Filip United States
S. Rameeza Allie United States
Benjamin R. Weeder relative to Austin Nguyen United States Austin Nguyen's profile →
Citations per field
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Austin Nguyen · 1×
Citations per year

Countries citing papers authored by Benjamin R. Weeder

Since Specialization
Citations

This map shows the geographic impact of Benjamin R. Weeder'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 Benjamin R. Weeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin R. Weeder more than expected).

Fields of papers citing papers by Benjamin R. Weeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin R. Weeder. 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 Benjamin R. Weeder. The network helps show where Benjamin R. Weeder may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin R. Weeder, 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 Benjamin R. Weeder Line = papers co-authored together Benjamin R. Weeder links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20241
2 20233
3 20216
4 202015
5 202069
6 2020360
7 20192
8 20183

About Benjamin R. Weeder

Benjamin R. Weeder is a scholar working on Physiology, Cancer Research, Immunology, Oncology and Molecular Biology, having authored 8 papers that have together received 459 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Genetic Associations and Epidemiology (1 paper), Adenosine and Purinergic Signaling (1 paper), Machine Learning in Bioinformatics (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Infectious Diseases (314 citations), Immunology (143 citations), Modeling and Simulation (24 citations), Neurology (67 citations) and Obstetrics and Gynecology (28 citations). Benjamin R. Weeder has collaborated with scholars based in United States. Frequent co-authors include Reid F. Thompson, Abhinav Nellore, Julianne K. David, Mary A. Wood, Sean K. Maden, Austin Nguyen, Qi Wei, Stephen A. Ramsey, Zheng Liu and Zheng Liu. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, Bioinformatics, Journal of Virology, Cancer Research and Genome Medicine.

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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