Karlynn E. Neu

1.6k citations
16 papers · 656 · h-index 10

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immune Response and Inflammation 2
    • Monoclonal and Polyclonal Antibodies Research 4
    • Radiomics and Machine Learning in Medical Imaging 1

Karlynn E. Neu

13 papers receiving 653 citations

Peers

Karlynn E. Neu
Comparison fields: 5 of 63
  • Immunology 405
  • Epidemiology 204
  • Infectious Diseases 98
  • Radiology, Nuclear Medicine and Imaging 83
  • Transplantation 7
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Citations per field
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Ariën Schiepers · 1×
Citations per year

Countries citing papers authored by Karlynn E. Neu

Since Specialization
Citations

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

Fields of papers citing papers by Karlynn E. Neu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karlynn E. Neu. 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 Karlynn E. Neu. The network helps show where Karlynn E. Neu may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017167
2 201795
3 202076
4 201668
5 201668
6 201749
7 201648
8 201829
9 201826
10 201918
11 20218
12 20243
13 20251
14 20250
15 20250
16 20250

About Karlynn E. Neu

Karlynn E. Neu is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Oncology, having authored 16 papers that have together received 656 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Influenza Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Single-cell and spatial transcriptomics (2 papers), Immune Response and Inflammation (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Immunology (405 citations), Epidemiology (204 citations), Infectious Diseases (98 citations), Radiology, Nuclear Medicine and Imaging (83 citations) and Transplantation (7 citations). Karlynn E. Neu has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Patrick C. Wilson, Aly A. Khan, Qingming Tang, Carole J. Henry Dunand, Linda Yu-Ling Lan, Min Huang, Carole Henry, Anna-Karin E. Palm, Stefan Canzar and George Georgiou. Their work appears in journals such as Journal of Clinical Oncology, Trends in Immunology, Science Immunology, JCO Clinical Cancer Informatics 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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