Natko Nuber

459 citations
13 papers · 325 · h-index 11

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Natko Nuber

13 papers receiving 311 citations

Peers

Natko Nuber
Comparison fields: 5 of 53
  • Immunology 195
  • Oncology 146
  • Hematology 32
  • Molecular Biology 105
  • Radiology, Nuclear Medicine and Imaging 28
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Citations per field
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Citations per year

Countries citing papers authored by Natko Nuber

Since Specialization
Citations

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

Fields of papers citing papers by Natko Nuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200994
2 201445
3 201138
4 200826
5 200623
6 201320
7 201018
8 201317
9 201415
10 200711
11 202110
12
Yeast-based identification of prostate tumor antigens provides an effective vaccine platform.
20106
13
Rational development of high-affinity T-cell receptor-like antibodies (vol 106, pg 5784, 2009)
20092

About Natko Nuber

Natko Nuber is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 13 papers that have together received 325 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), vaccines and immunoinformatics approaches (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers) and Parasites and Host Interactions (1 paper). The work is most often cited by research in Immunology (195 citations), Oncology (146 citations), Hematology (32 citations), Molecular Biology (105 citations) and Radiology, Nuclear Medicine and Imaging (28 citations). Natko Nuber has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Alexander Knuth, Maries van den Broek, Holger Moch, Reinhard Dummer, Davide Soldini, Vincenzo Cerundolo, Sascha Kleber, Alessandra Curioni‐Fontecedro, Guillaume Stewart-Jones and Stefan Bauer. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, European Journal of Immunology, Haematologica and European Journal of Phycology.

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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