Johannes Hampl

4.0k citations
23 papers · 2.3k indexed · 1 hit paper · h-index 14
Topics
T-cell and B-cell Immunology (15 papers)Immune Cell Function and Interaction (14 papers)Immunotherapy and Immune Responses (9 papers)

In The Last Decade

Johannes Hampl

23 papers receiving 2.3k citations

Hit Papers

LIGAND RECOGNITION BY αβ T CELL RECEPTORS19982026200720161998250500750

Peers

Johannes Hampl
Comparison fields: 5 of 92
  • Immunology 1.8k
  • Molecular Biology 443
  • Oncology 404
  • Radiology, Nuclear Medicine and Imaging 392
  • Biomedical Engineering 146
Replace Takachika Azuma with:
Takachika Azuma Japan
M I Greene United States
Franco Calabi United Kingdom
Yuri Sykulev United States
Roman M. Chicz United States
Lisa F. Boyd United States
Hanspeter Michel United States
Ronald Bordens United States
Brian E. Collins United States
Arvind Rajpal United States
Johannes Hampl relative to Takachika Azuma Japan Takachika Azuma's profile →
Citations per field
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Takachika Azuma · 1×
Citations per year

Countries citing papers authored by Johannes Hampl

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Hampl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Hampl

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Hampl. A scholar is included among the top collaborators of Johannes Hampl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johannes Hampl. Johannes Hampl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 6
3 42
4 4
5 2
6 20
7 2
8 231
9 15
10 161
11 17
12
The specificity of a weak gamma delta TCR interaction can be modulated by the glycosylation of the ligand.
20
13 321
14 102
15 372
16
Immunogenicity of infectious bovine rhinotracheitis virus (BHV-1) proteins integrated into ISCOMs or liposomes.
2
17 1
18 10
19 6
20 16

About Johannes Hampl

Johannes Hampl is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Immunology (1.8k citations), Radiology, Nuclear Medicine and Imaging (392 citations) and Oncology (404 citations). Johannes Hampl has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Mark M. Davis, Yueh‐hsiu Chien, J. Jay Boniface, Daniel S. Lyons, Ziv Reich, Bernhard Arden, Leslie J. Berg, W. H. Wright, David E. Cooper and Michael Hall. Their work appears in journals such as Science, Immunity and The Journal of 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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