Anna J. Ucher

400 citations
12 papers · 317 · h-index 9

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 3
    • Immunodeficiency and Autoimmune Disorders 2
    • DNA Repair Mechanisms 6
    • CRISPR and Genetic Engineering 2

Anna J. Ucher

12 papers receiving 316 citations

Peers

Anna J. Ucher
Comparison fields: 5 of 38
  • Immunology 182
  • Molecular Biology 195
  • Pathology and Forensic Medicine 36
  • Genetics 19
  • Epidemiology 51
Replace Emily Klotz with:
Emily Klotz United States
Zéliha Oruc France
Naomi Goldman United States
Madeline J. Price United States
Carina Olsson Switzerland
Erin K. Linehan United States
Johan Fransson Sweden
Émilie Jacque France
Oksana Zagorodna United States
Justin Le United States
Anna J. Ucher relative to Emily Klotz United States Emily Klotz's profile →
Citations per field
00.5×10×15×19×
Emily Klotz · 1×
Citations per year

Countries citing papers authored by Anna J. Ucher

Since Specialization
Citations

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

Fields of papers citing papers by Anna J. Ucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201177
2 201151
3 201349
4 201445
5 201444
6 201414
7 200812
8 20149
9 20138
10 20124
11 20152
12 20142

About Anna J. Ucher

Anna J. Ucher is a scholar working on Immunology, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Nephrology, having authored 12 papers that have together received 317 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), DNA Repair Mechanisms (6 papers), Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (3 papers), CRISPR and Genetic Engineering (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Genetic factors in colorectal cancer (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (182 citations), Molecular Biology (195 citations), Pathology and Forensic Medicine (36 citations), Genetics (19 citations) and Epidemiology (51 citations). Anna J. Ucher has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Janet Stavnezer, Erin K. Linehan, Carol E. Schrader, Jeroen E. J. Guikema, Ori Staszewski, Richard E. Baker, Raygene Martier, Lyne Khair, Min Peng and Jenny Xie. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Molecular Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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