Allison Nau

1.4k citations
7 papers · 766 indexed · 1 hit paper · h-index 6

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

Allison Nau

7 papers receiving 759 citations

Hit Papers

Identifying specificity groups in the T cell receptor repertoire 2017 · 595 citations
5952017202620202023100200300400500

Peers

Allison Nau
Comparison fields: 5 of 79
  • Immunology 490
  • Oncology 209
  • Infectious Diseases 131
  • Molecular Biology 327
  • Radiology, Nuclear Medicine and Imaging 104
Replace Vadim I. Nazarov with:
Vadim I. Nazarov Russia
Olivia Hatton United States
Meriem Attaf United Kingdom
Katherine Bourne Australia
Carolyn G. King Switzerland
Cees E. van der Poel United States
Cristina Rius United Kingdom
Luke S. Manlove United States
Jana R. Hermes Australia
Michael Fehlings Singapore
Allison Nau relative to Vadim I. Nazarov Russia Vadim I. Nazarov's profile →
Citations per field
00.5×3.2×
Vadim I. Nazarov · 1×
Citations per year

Countries citing papers authored by Allison Nau

Since Specialization
Citations

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

Fields of papers citing papers by Allison Nau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

7 of 7 papers shown
#Work
1 202417
2 20245
3 20236
4 202195
5 201737
6
Identifying specificity groups in the T cell receptor repertoire
Hit paper breakdown →
2017595
7
Exit, No Exit
201011

About Allison Nau

Allison Nau is a scholar working on Biophysics, Immunology, Genetics, Hematology and Neurology, having authored 7 papers that have together received 766 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (490 citations), Oncology (209 citations), Infectious Diseases (131 citations), Molecular Biology (327 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Allison Nau has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Mark M. Davis, Lisa E. Wagar, Thomas J. Scriba, Olivia M. Martinez, Olivia Hatton, Huang Huang, Jacob Glanville, Alessandro Sette, Scott D. Boyd and Xuhuai Ji. Their work appears in journals such as Clinical Cancer Research, Nature, Science Immunology, Journal of Immunological Methods and Frontiers in Immunology.

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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