Michèle Malassis-Séris

1.7k citations
11 papers · 1.4k indexed · 1 hit paper · h-index 10
Topics
Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (6 papers)Virus-based gene therapy research (3 papers)
Partner nations
FranceSwitzerland

In The Last Decade

Michèle Malassis-Séris

11 papers receiving 1.3k citations

Hit Papers

Two gut intraepithelial CD8+ lymphocyte populations with ...19912026200220141991100200300400500

Peers

Michèle Malassis-Séris
Comparison fields: 5 of 72
  • Immunology 1.0k
  • Molecular Biology 258
  • Genetics 224
  • Oncology 220
  • Epidemiology 154
Replace John Shires with:
John Shires United States
Thomas Goodman United States
Stéphanie L. Sanos Germany
Lee K. Richman United States
Kerstin Bonhagen Germany
John S. Cowdery United States
Anne Goubier France
J E Carty United Kingdom
Valentina Salucci Italy
Rowan Higgs Ireland
Michèle Malassis-Séris relative to John Shires United States John Shires's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michèle Malassis-Séris

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Malassis-Séris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michèle Malassis-Séris. 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 Michèle Malassis-Séris. The network helps show where Michèle Malassis-Séris may publish in the future.

Co-authorship network of co-authors of Michèle Malassis-Séris

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 47
2 52
3 59
4 88
5 173
6 9
7 95
8 103
9 94
10
Two gut intraepithelial CD8+ lymphocyte populations with different T cell receptors: a role for the gut epithelium in T cell differentiation.breakdown →
506
11 153

About Michèle Malassis-Séris

Michèle Malassis-Séris is a scholar working on Immunology, Genetics and Oncology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Immunology (1.0k citations), Gastroenterology (71 citations) and Oncology (220 citations). Michèle Malassis-Séris has collaborated with scholars based in France and Switzerland. Frequent co-authors include Delphine Guy‐Grand, P Vassalli, Bernard Malissen, Nadine Cerf–Bensussan, Françoise Selz, James P. Di Santo, Bénédita Rocha, Sébastien Calbo, Marina Cavazzana and Philippe Kourilsky. Their work appears in journals such as The Journal of Experimental Medicine, Blood and European 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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