Katja Aviszus

1.3k citations
26 papers · 827 indexed · h-index 14
Topics
T-cell and B-cell Immunology (18 papers)Immune Cell Function and Interaction (12 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Katja Aviszus

25 papers receiving 816 citations

Peers

Katja Aviszus
Comparison fields: 5 of 71
  • Immunology 639
  • Radiology, Nuclear Medicine and Imaging 186
  • Molecular Biology 165
  • Infectious Diseases 78
  • Rheumatology 67
Replace Masanao Asano with:
Masanao Asano United States
Lucie Baudino Switzerland
Dennis A. Carson United States
A K Matsumoto United States
Gitta Anne Heinz Germany
Frank J. Ward United Kingdom
Christina Bade‐Doeding Germany
Elisaveta Voynova United States
Mihail Firan United States
Federica Capolunghi Italy
Katja Aviszus relative to Masanao Asano United States Masanao Asano's profile →
Citations per field
00.5×3.3×
Masanao Asano · 1×
Citations per year

Countries citing papers authored by Katja Aviszus

Since Specialization
Citations

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

Fields of papers citing papers by Katja Aviszus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Aviszus

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Aviszus. A scholar is included among the top collaborators of Katja Aviszus 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 Katja Aviszus. Katja Aviszus 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 1
2 5
3 1
4 0
5 56
6 20
7 14
8 20
9 8
10 30
11 13
12 6
13 9
14 215
15 10
16 27
17 1
18 112
19 1
20 64

About Katja Aviszus

Katja Aviszus is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 26 papers that have together received 827 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Immunology (639 citations), Radiology, Nuclear Medicine and Imaging (186 citations) and Rheumatology (67 citations). Katja Aviszus has collaborated with scholars based in United States, China and France. Frequent co-authors include Lawrence J. Wysocki, John C. Cambier, Robert J. Benschop, Kevin T. Merrell, Stephen B. Gauld, Débora Decotè-Ricardo, Thiago Detanico, Gary S. Shapiro, Ryan A. Heiser and Xianghua Zhang. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine 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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