Meinrad Busslinger

35.3k citations
209 papers · 25.8k indexed · 5 hit papers · h-index 89
Topics
T-cell and B-cell Immunology (79 papers)Immune Cell Function and Interaction (74 papers)Immunotherapy and Immune Responses (28 papers)

In The Last Decade

Meinrad Busslinger

209 papers receiving 25.3k citations

Hit Papers

Transcription termination and 3′ processing: the end is i...1985202619982012198519992014201220154008001.2k

Peers

Meinrad Busslinger
Comparison fields: 5 of 150
  • Molecular Biology 13.7k
  • Immunology 10.8k
  • Genetics 2.9k
  • Oncology 2.8k
  • Surgery 2.1k
Replace Cornelis Murre with:
Cornelis Murre United States
Haruhiko Koseki Japan
Keiko Ozato United States
Harinder Singh United States
Toru Nakano Japan
Toshio Kitamura Japan
Frédéric J. de Sauvage United States
Victor L. J. Tybulewicz United Kingdom
Osamu Ohara Japan
Rudolf Grosschedl United States
Meinrad Busslinger relative to Cornelis Murre United States Cornelis Murre's profile →
Citations per field
00.5×1.5×1.8×
Cornelis Murre · 1×
Citations per year

Countries citing papers authored by Meinrad Busslinger

Since Specialization
Citations

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

Fields of papers citing papers by Meinrad Busslinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meinrad Busslinger

This figure shows the co-authorship network connecting the top 25 collaborators of Meinrad Busslinger. A scholar is included among the top collaborators of Meinrad Busslinger 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 Meinrad Busslinger. Meinrad Busslinger 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 37
4 83
5 15
6 65
7 23
8 110
9 39
10
The microbiota regulates type 2 immunity through RORγt + T cellsbreakdown →
650
11 150
12 176
13 43
14 254
15 227
16 6
17 38
18 40
19 144
20 246

About Meinrad Busslinger

Meinrad Busslinger is a scholar working on Immunology, Molecular Biology and Hematology, having authored 209 papers that have together received 25.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (79 papers), Immune Cell Function and Interaction (74 papers) and Immunotherapy and Immune Responses (28 papers). The work is most often cited by research in Immunology (10.8k citations), Molecular Biology (13.7k citations) and Hematology (1.9k citations). Meinrad Busslinger has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Stephen L. Nutt, Max L. Birnstiel, Abdallah Souabni, Katharina Strub, Barry Heavey, César Cobaleda, Antonius Rolink, Maxime Bouchard, Thomas Czerny and Zbyněk Kozmík. Their work appears in journals such as Nature, Science and Cell.

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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