Patrick Daum

608 citations
7 papers · 216 · h-index 4

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 2
    • Immune Cell Function and Interaction 4
    • interferon and immune responses 1
    • T-cell and B-cell Immunology 1

Patrick Daum

7 papers receiving 214 citations

Peers

Patrick Daum
Comparison fields: 5 of 40
  • Immunology 125
  • Cancer Research 71
  • Hematology 17
  • Molecular Biology 93
  • Parasitology 5
Replace Saumya Maru with:
Saumya Maru United States
Dejene M. Tufa Germany
Mingnan Zhang China
Tatjana Hirschmugl Austria
Nina C. Zitzer United States
Talyn Chu United States
Jianlin Geng China
Ángel F. Álvarez-Prado Spain
Elisenda Alari‐Pahissa Spain
Kerstin Westendorf Germany
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Daum

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Daum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Patrick Daum, 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 Patrick Daum Line = papers co-authored together Patrick Daum links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2017102
2 201570
3 201624
4 202016
5 20222
6 20231
7 20171

About Patrick Daum

Patrick Daum is a scholar working on Cancer Research, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 7 papers that have together received 216 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related molecular mechanisms research (2 papers), interferon and immune responses (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), T-cell and B-cell Immunology (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (125 citations), Cancer Research (71 citations), Hematology (17 citations), Molecular Biology (93 citations) and Parasitology (5 citations). Patrick Daum has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Hans‐Martin Jäck, Edith Roth, Katharina Pracht, Sebastian Schulz, Wolfgang Schuh, Dirk Mielenz, Dorothea Reimer, Claudia Berek, Jürgen Wittmann and Andreas Brandl. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Biomolecules 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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