Jared Sheehan

651 citations
7 papers · 479 · h-index 6

Impact in

Papers in

    • Immune Cell Function and Interaction 2
    • T-cell and Retrovirus Studies 1
    • Protein purification and stability 1

Jared Sheehan

7 papers receiving 475 citations

Peers

Jared Sheehan
Comparison fields: 5 of 51
  • Infectious Diseases 200
  • Animal Science and Zoology 75
  • Radiology, Nuclear Medicine and Imaging 143
  • Immunology 131
  • Epidemiology 141
Replace Yuval Avnir with:
Yuval Avnir United States
Christoph Kreer Germany
Deleah Pettie United States
Leopold Grillberger Austria
Linda Benincasa Italy
Ainhoa Moliner Morro Sweden
Dmitry V. Shcheblyakov Russia
Sreedhar Chinnaswamy India
Terianne Wong United States
Jens‐Peter Gregersen Germany
Jared Sheehan relative to Yuval Avnir United States Yuval Avnir's profile →
Citations per field
00.5×1.5×
Yuval Avnir · 1×
Citations per year

Countries citing papers authored by Jared Sheehan

Since Specialization
Citations

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

Fields of papers citing papers by Jared Sheehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared Sheehan. 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 Jared Sheehan. The network helps show where Jared Sheehan may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2014174
2 201496
3 201664
4 201260
5 201548
6 200933
7 20204

About Jared Sheehan

Jared Sheehan is a scholar working on Immunology, Molecular Biology, Animal Science and Zoology, Epidemiology and Infectious Diseases, having authored 7 papers that have together received 479 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), Influenza Virus Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Protein purification and stability (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Bacteriophages and microbial interactions (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Infectious Diseases (200 citations), Animal Science and Zoology (75 citations), Radiology, Nuclear Medicine and Imaging (143 citations), Immunology (131 citations) and Epidemiology (141 citations). Jared Sheehan has collaborated with scholars based in United States. Frequent co-authors include Wayne A. Marasco, Quan Zhu, Yuval Avnir, Aimée St. Clair Tallarico, Sudhakar Agnihothram, Eric Charles Peterson, Ralph S. Baric, Yongjun Jiao, Rachel L. Graham and Jianhua Sui. Their work appears in journals such as Molecular Cancer Therapeutics, PLoS Pathogens, FEMS Yeast Research, Microbiology Spectrum and Proceedings of the National Academy of Sciences.

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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