Kyle J. Lorentsen

561 citations
7 papers · 325 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Eosinophilic Esophagitis

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • IL-33, ST2, and ILC Pathways 3
    • T-cell and B-cell Immunology 2

Kyle J. Lorentsen

7 papers receiving 323 citations

Peers

Kyle J. Lorentsen
Comparison fields: 5 of 44
  • Immunology 253
  • Surgery 80
  • Pharmaceutical Science 10
  • Pathology and Forensic Medicine 19
  • Oncology 26
Replace David Lligé with:
David Lligé Spain
Otto Strauß Sweden
Laura Surace France
Jinxi Zuo China
Emilie Bollon France
Thibaut Perchet France
Aref Hosseini Switzerland
Satoshi Sugaya Japan
Claire Willis United Kingdom
Ryusuke Munemura Japan
Kyle J. Lorentsen relative to David Lligé Spain David Lligé's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kyle J. Lorentsen

Since Specialization
Citations

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

Fields of papers citing papers by Kyle J. Lorentsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle J. Lorentsen. 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 Kyle J. Lorentsen. The network helps show where Kyle J. Lorentsen may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2015136
2 201773
3 201735
4 201827
5 201920
6 201619
7 201615

About Kyle J. Lorentsen

Kyle J. Lorentsen is a scholar working on Immunology, Surgery, Genetics, Pathology and Forensic Medicine and Virology, having authored 7 papers that have together received 325 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), IL-33, ST2, and ILC Pathways (3 papers), T-cell and B-cell Immunology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Poxvirus research and outbreaks (1 paper), Multiple Sclerosis Research Studies (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Immunology (253 citations), Surgery (80 citations), Pharmaceutical Science (10 citations), Pathology and Forensic Medicine (19 citations) and Oncology (26 citations). Kyle J. Lorentsen has collaborated with scholars based in United States. Frequent co-authors include Dorina Avram, Jonathan Cho, Mohammad Nizam Uddin, Danielle Califano, Hongmin Li, Qi Yang, Avinash Bhandoola, Theodore T. Drashansky, Maigan Brusko and Benjamin G. Keselowsky. Their work appears in journals such as Nature Communications, American Journal of Respiratory Cell and Molecular Biology, Proceedings of the National Academy of Sciences, Biomaterials and Science Advances.

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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