Thierry Rème

7.0k total citations
102 papers, 5.4k citations indexed

About

Thierry Rème is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Thierry Rème has authored 102 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Hematology, 46 papers in Molecular Biology and 30 papers in Immunology. Recurrent topics in Thierry Rème's work include Multiple Myeloma Research and Treatments (50 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and T-cell and B-cell Immunology (18 papers). Thierry Rème is often cited by papers focused on Multiple Myeloma Research and Treatments (50 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and T-cell and B-cell Immunology (18 papers). Thierry Rème collaborates with scholars based in France, Germany and United States. Thierry Rème's co-authors include Bernard Klein, John De Vos, Dirk Hose, Jérôme Moreaux, Hartmut Goldschmidt, Jean‐François Rossi, Véronique Pantesco, Karin Tarte, Karène Mahtouk and S. Hamamah and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Bioinformatics.

In The Last Decade

Thierry Rème

100 papers receiving 5.3k citations

Peers

Thierry Rème
Comparison fields: 5 of 114
  • Molecular Biology 2.5k
  • Hematology 2.0k
  • Immunology 1.8k
  • Oncology 1.4k
  • Genetics 545
Replace Frederic I. Preffer with:
Frederic I. Preffer United States
David Dombkowski United States
Stewart D. Lyman United States
Virginia C. Broudy United States
Kevin D. Bunting United States
Keyvan Keyvanfar United States
Deborah L. French United States
Gerald Wulf Germany
D Delia Italy
Marcel Spaargaren Netherlands
Frederic I. Preffer United States View profile →
Citations per field, relative to Thierry Rème
Thierry Rème · 1×
Citations per year, relative to Thierry Rème
Thierry Rème · 1×

Countries citing papers authored by Thierry Rème

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Rème

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thierry Rème

This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Rème. A scholar is included among the top collaborators of Thierry Rème 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 Thierry Rème. Thierry Rème 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
# Work Indexed citations
1 106
2 19
3 39
4 30
5 41
6 49
7 124
8 23
9 61
10 26
11 176
12 44
13 61
14 167
15 5
16
Human mucosyl lymphocyte marker expression in synovial fluid lymphocytes of patient with rheumatoid arthritis.
7
17 114
18 6
19
Resistance to metabolic inactivation is a functional phenotype of radioresistant stimulating spleen cells (RSCs) in allo-CTL generation.
1
20 82

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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