António Bandeira

5.6k citations
96 papers · 4.7k indexed · 1 hit paper · h-index 35
Topics
T-cell and B-cell Immunology (69 papers)Immune Cell Function and Interaction (58 papers)Immunotherapy and Immune Responses (30 papers)
Partner nations
FranceSpainPortugal

In The Last Decade

António Bandeira

93 papers receiving 4.6k citations

Hit Papers

Evidence for a differential avidity model of T cell selec...19942026200420151994100200300400500

Peers

António Bandeira
Comparison fields: 5 of 107
  • Immunology 3.9k
  • Molecular Biology 595
  • Genetics 531
  • Radiology, Nuclear Medicine and Imaging 429
  • Oncology 395
Replace António A. Freitas with:
António A. Freitas France
Pablo Pereira France
Andrew J. Caton United States
Matthias Haury France
Roberto Baccalà United States
Mikael Dohlsten Sweden
Adrien Six France
Anja Fuchs United States
Dinakantha Kumararatne United Kingdom
Jeanne Magram United States
António Bandeira relative to António A. Freitas France António A. Freitas's profile →
Citations per field
00.5×1.5×
António A. Freitas · 1×
Citations per year

Countries citing papers authored by António Bandeira

Since Specialization
Citations

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

Fields of papers citing papers by António Bandeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of António Bandeira

This figure shows the co-authorship network connecting the top 25 collaborators of António Bandeira. A scholar is included among the top collaborators of António Bandeira 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 António Bandeira. António Bandeira 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 0
2 7
3 32
4 74
5 16
6 1
7 1
8 455
9 15
10 61
11 1
12 6
13 17
14 92
15
Evidence for a differential avidity model of T cell selection in the thymusbreakdown →
588
16 52
17 5
18 24
19 1
20 88

About António Bandeira

António Bandeira is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 96 papers that have together received 4.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (69 papers), Immune Cell Function and Interaction (58 papers) and Immunotherapy and Immune Responses (30 papers). The work is most often cited by research in Immunology (3.9k citations), Genetics (531 citations) and Hematology (208 citations). António Bandeira has collaborated with scholars based in France, Spain and Portugal. Frequent co-authors include António Coutinho, Odile Burlen‐Defranoux, Susumu Tonegawa, Ana Cumano, Pablo Pereira, Josselyne Salaün, Yves Modigliani, Philip G. Ashton‐Rickardt, Rolf M. Zinkernagel and Joseph R. Delaney. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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