David Anz

3.6k citations
54 papers · 2.3k indexed · h-index 26

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
    • interferon and immune responses
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 21
    • Immunotherapy and Immune Responses 21
    • Immune Response and Inflammation 15
    • T-cell and B-cell Immunology 10
    • interferon and immune responses 5
    • Chemokine receptors and signaling 8
    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 5

David Anz

53 papers receiving 2.3k citations

Peers

David Anz
Comparison fields: 5 of 102
  • Immunology 1.5k
  • Oncology 651
  • Genetics 149
  • Molecular Biology 758
  • Microbiology 65
Replace Venetia Bigley with:
Venetia Bigley United Kingdom
Antonin R. de Fougerolles United States
Marta Carretero Spain
Raúl Elgueta United States
Reem Al‐Daccak France
Evemie Schutyser Belgium
Guimei Zhang China
Dietmar M. Zaiss United Kingdom
Masatoshi Tateno Japan
Anders Elm Pedersen Denmark
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Citations per field
00.5×1.5×2.4×
Venetia Bigley · 1×
Citations per year

Countries citing papers authored by David Anz

Since Specialization
Citations

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

Fields of papers citing papers by David Anz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011347
2 2011199
3 2008125
4 2009117
5 201195
6 201191
7 200983
8 201476
9 201274
10 201670
11 201168
12 201268
13 201563
14 201858
15 201556
16 201353
17 200652
18 200943
19 200942
20 202040

About David Anz

David Anz is a scholar working on Immunology, Oncology, Molecular Biology, Surgery and Genetics, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), Immunotherapy and Immune Responses (21 papers), Immune Response and Inflammation (15 papers), T-cell and B-cell Immunology (10 papers), Chemokine receptors and signaling (8 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (651 citations), Genetics (149 citations), Molecular Biology (758 citations) and Microbiology (65 citations). David Anz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Endres, Carole Bourquin, Moritz Rapp, Veit Hornung, Nadja Sandholzer, Cornelia Wurzenberger, Doris Mayr, Robert Besch, Wolf Christian Prall and W. Mutschler. Their work appears in journals such as The Journal of Immunology, Journal of Immunotherapy, OncoImmunology, Cancer Research and Annals of the Rheumatic Diseases.

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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