C. Hotz

1.3k citations
27 papers · 765 · h-index 15

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer

Papers in

    • Immune Response and Inflammation 9
    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 2
    • Immune cells in cancer 2
    • RNA Interference and Gene Delivery 2

C. Hotz

27 papers receiving 753 citations

Peers

C. Hotz
Comparison fields: 5 of 85
  • Immunology 312
  • Molecular Medicine 43
  • Biotechnology 75
  • Dermatology 69
  • Pharmacology 116
Replace Waka Ishida with:
Waka Ishida Japan
Dennis J. Horvath United States
Mrinmoy Das India
Djenet Bousbaine United States
Yuqing Chen China
Zu T. Shen United States
Daniel Schmitt France
Daniel Drocourt France
Omid Gholizadeh Iran
Guanghui Yi China
C. Hotz relative to Waka Ishida Japan Waka Ishida's profile →
Citations per field
00.5×6.8×
Waka Ishida · 1×
Citations per year

Countries citing papers authored by C. Hotz

Since Specialization
Citations

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

Fields of papers citing papers by C. Hotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 201672
3 201170
4 200759
5 201956
6 200652
7 201851
8 201046
9 201342
10 201838
11 201630
12 201527
13 201926
14 200820
15 201217
16 202110
17 20087
18 20136
19 20135
20 20115

About C. Hotz

C. Hotz is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Epidemiology, having authored 27 papers that have together received 765 indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Cancer Research and Treatments (3 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (312 citations), Molecular Medicine (43 citations), Biotechnology (75 citations), Dermatology (69 citations) and Pharmacology (116 citations). C. Hotz has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Carole Bourquin, Aurélien Pommier, Inès Mottas, Thibaud Spinetti, P. Wolkenstein, Lorenzo Spagnuolo, Ivaylo Gentschev, Birgit Bergmann, Werner Goebel and Joachim Fensterle. Their work appears in journals such as Cancer Research, OncoImmunology, The Journal of Immunology, PLoS ONE and Blood.

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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