Rita Mitnacht

613 citations
14 papers · 528 indexed · h-index 10
Topics
T-cell and B-cell Immunology (11 papers)Immune Cell Function and Interaction (10 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
Partner nations
GermanySlovakiaAustria

In The Last Decade

Rita Mitnacht

14 papers receiving 513 citations

Peers

Rita Mitnacht
Comparison fields: 5 of 63
  • Immunology 309
  • Molecular Biology 162
  • Plant Science 73
  • Radiology, Nuclear Medicine and Imaging 47
  • Oncology 46
Replace Viresh P. Patel with:
Viresh P. Patel United States
H Kimura Japan
Keith McKune United States
Cédric Bès France
Ryan Cummings United States
Polly E. Mattila United States
J M McNicholas United States
Y Seto Japan
Samarendra N. Seal United States
M. Damotte France
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Citations per field
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Viresh P. Patel · 1×
Citations per year

Countries citing papers authored by Rita Mitnacht

Since Specialization
Citations

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

Fields of papers citing papers by Rita Mitnacht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Mitnacht

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Mitnacht. A scholar is included among the top collaborators of Rita Mitnacht 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 Rita Mitnacht. Rita Mitnacht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 8
2
Opposite CD4/CD8 lineage decisions of CD4+8+ mouse and rat thymocytes to equivalent triggering signals: correlation with thymic expression of a truncated CD8 alpha chain in mice but not rats.
12
3 3
4 20
5 14
6 59
7 18
8 120
9 27
10
The "erythrocyte receptor" of T-lymphocytes and T11 target structure (T11TS): complementary cell interaction molecules involved in T-cell activation.
5
11 1
12 38
13 35
14 168

About Rita Mitnacht

Rita Mitnacht is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 14 papers that have together received 528 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (309 citations), Immunology and Allergy (36 citations) and Endocrinology (21 citations). Rita Mitnacht has collaborated with scholars based in Germany, Slovakia and Austria. Frequent co-authors include Thomas Hünig, Thomas Hünig, Hildburg Beier, Guido Krupp, Hans Groß, Mirosława Z. Barciszewska, Georg Tiefenthaler, Marion H. Brown, Abigail Williams and Thomas Hanke. Their work appears in journals such as The Journal of Experimental Medicine, The EMBO Journal 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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