Hanni Höhn

595 citations
18 papers · 485 · h-index 14

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Tuberculosis Research and Epidemiology

Papers in

    • Immunotherapy and Immune Responses 14
    • T-cell and B-cell Immunology 11
    • Immune Cell Function and Interaction 11
    • Cervical Cancer and HPV Research 4
    • Mycobacterium research and diagnosis 2

Hanni Höhn

18 papers receiving 472 citations

Peers

Hanni Höhn
Comparison fields: 5 of 47
  • Immunology 384
  • Infectious Diseases 109
  • Epidemiology 191
  • Oncology 113
  • Transplantation 8
Replace Maarten E. Emmelot with:
Maarten E. Emmelot Netherlands
Alice R. Burton United Kingdom
Sofya A. Kasatskaya Russia
Ewa Terczyńska‐Dyla Denmark
Helen Cooksley United Kingdom
Lucy Golden-Mason United States
Maham Farshidpour United States
D. van Baarle Netherlands
Celeste Pallant United Kingdom
Alexander Rölle Germany
Hanni Höhn relative to Maarten E. Emmelot Netherlands Maarten E. Emmelot's profile →
Citations per field
00.5×3.7×
Maarten E. Emmelot · 1×
Citations per year

Countries citing papers authored by Hanni Höhn

Since Specialization
Citations

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

Fields of papers citing papers by Hanni Höhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200577
2 200360
3 200242
4 200141
5 199940
6 200034
7 200329
8 200225
9 200523
10 200421
11 200217
12 200715
13 200414
14 200114
15 200112
16 199911
17 20026
18 20004

About Hanni Höhn

Hanni Höhn is a scholar working on Immunology, Epidemiology, Infectious Diseases, Oncology and Surgery, having authored 18 papers that have together received 485 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers), Tuberculosis Research and Epidemiology (4 papers), Cervical Cancer and HPV Research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Mycobacterium research and diagnosis (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (384 citations), Infectious Diseases (109 citations), Epidemiology (191 citations), Oncology (113 citations) and Transplantation (8 citations). Hanni Höhn has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Markus Maeurer, Claudia Neukirch, Kirsten Freitag, Henryk Pilch, Antje Necker, Ingeborg Zehbe, Walter Hitzler, C. Kortsik, Klaus Kayser and Pierre J. Talbot. Their work appears in journals such as International Journal of Cancer, The Journal of Immunology, Immunology, Clinical and Vaccine Immunology and Journal of Virology.

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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