Benjamin R. Weeder

900 citations
9 papers · 465 · h-index 5

Impact in

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

Papers in

    • RNA modifications and cancer 2
    • Gene expression and cancer classification 1
    • Bioinformatics and Genomic Networks 1
    • Immunotherapy and Immune Responses 1
    • T-cell and B-cell Immunology 1

Benjamin R. Weeder

8 papers receiving 459 citations

Peers

Benjamin R. Weeder
Comparison fields: 5 of 63
  • Infectious Diseases 286
  • Immunology 130
  • Modeling and Simulation 22
  • Neurology 59
  • Obstetrics and Gynecology 27
Replace Austin Nguyen with:
Austin Nguyen United States
Simon Eschweiler United States
Verena Klemis Germany
Benjamin J. Meckiff United Kingdom
Ninaad Lasrado United States
Michael Yik-Chun Wong Hong Kong
Shoji Yokochi Japan
Alex Farina Switzerland
S. Rameeza Allie United States
Brian P. Tullius United States
Benjamin R. Weeder relative to Austin Nguyen United States Austin Nguyen's profile →
Citations per field
00.5×1.5×2.1×
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

9 of 9 papers shown
#Work
1 2020363
2 202069
3 202016
4 20217
5 20234
6 20183
7 20192
8 20241
9 20240

About Benjamin R. Weeder

Benjamin R. Weeder is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), SARS-CoV-2 detection and testing (1 paper), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper), Adenosine and Purinergic Signaling (1 paper), T-cell and B-cell Immunology (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Infectious Diseases (286 citations), Immunology (130 citations), Modeling and Simulation (22 citations), Neurology (59 citations) and Obstetrics and Gynecology (27 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, Stephen A. Ramsey, Qi Wei, Zheng Liu and Yao Yao. Their work appears in journals such as Journal of Virology, ImmunoHorizons, Journal of Thrombosis and Thrombolysis, 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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