Jason Siebert

434 citations
9 papers · 267 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Jason Siebert

9 papers receiving 265 citations

Peers

Jason Siebert
Comparison fields: 5 of 64
  • Immunology 184
  • Oncology 70
  • Hematology 19
  • Ecology 24
  • Molecular Biology 61
Replace Michael Loubser with:
Michael Loubser South Africa
Katie Lowe United Kingdom
Joanna Hård Sweden
Stephen Paul Joyce United States
Giovanni Fulvio Italy
Chiho Homma Japan
M. Kadyrov Germany
Yueqian Yu China
Manuela Terranova Barberio United States
Pierre Philippet Belgium
Jason Siebert relative to Michael Loubser South Africa Michael Loubser's profile →
Citations per field
00.5×9.3×
Michael Loubser · 1×
Citations per year

Countries citing papers authored by Jason Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Jason Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2019177
2 201229
3 201420
4 202018
5 201813
6 20225
7 20213
8 20231
9
[Chronic lichenoid dermatitis in sensitization to alpha-amylase in a baker].
19871

About Jason Siebert

Jason Siebert is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Infectious Diseases, Surgery and Molecular Biology, having authored 9 papers that have together received 267 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (2 papers), interferon and immune responses (1 paper), Reconstructive Surgery and Microvascular Techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Opioid Use Disorder Treatment (1 paper), Antifungal resistance and susceptibility (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Immunology (184 citations), Oncology (70 citations), Hematology (19 citations), Ecology (24 citations) and Molecular Biology (61 citations). Jason Siebert has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Subramaniam Malarkannan, Monica S. Thakar, Chao Yang, Zachary J. Gerbec, Karen-Sue Carlson, Robert Burns, Matthew J. Riese, Benedetta Bonacci, Sridhar Rao and Amy L. Rymaszewski. Their work appears in journals such as Nature Communications, Frontiers in Immunology, eLife, Molecular Immunology and American Journal of Respiratory Cell and Molecular Biology.

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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