Denis Puthier

4.5k citations
71 papers · 3.0k indexed · h-index 30
Topics
Cancer-related molecular mechanisms research (13 papers)T-cell and B-cell Immunology (13 papers)Multiple Myeloma Research and Treatments (11 papers)
Journals
Nature GeneticsThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
Partner nations
FranceThailandBrazil

In The Last Decade

Denis Puthier

70 papers receiving 2.9k citations

Peers

Denis Puthier
Comparison fields: 5 of 112
  • Molecular Biology 1.6k
  • Immunology 896
  • Hematology 783
  • Oncology 739
  • Cancer Research 502
Replace Daniel E. Sabath with:
Daniel E. Sabath United States
João T. Barata Portugal
Thomas Chittenden United States
Giuseppe Sconocchia Italy
Paul Coughlin Australia
Alexander Y. Tsygankov United States
Chien‐Kuo Lee Taiwan
Isao Hamaguchi Japan
Laura L. McCormick United States
C L Verweij Netherlands
Denis Puthier relative to Daniel E. Sabath United States Daniel E. Sabath's profile →
Citations per field
00.5×
Daniel E. Sabath · 1×
Citations per year

Countries citing papers authored by Denis Puthier

Since Specialization
Citations

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

Fields of papers citing papers by Denis Puthier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Puthier

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Puthier. A scholar is included among the top collaborators of Denis Puthier 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 Denis Puthier. Denis Puthier 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 3
3 1
4 8
5 17
6 3
7 3
8 28
9 5
10 29
11 75
12 83
13
Transcriptome analyses comparing the profiles of type 1, type 2 and gestational diabetes mellitus show differential expression of HLA and KIR genes
1
14 31
15 69
16 97
17 66
18 77
19 24
20
Mcl-1 and Bcl-xL are co-regulated by IL-6 in human myeloma cells
4

About Denis Puthier

Denis Puthier is a scholar working on Hematology, Cancer Research and Immunology, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), T-cell and B-cell Immunology (13 papers) and Multiple Myeloma Research and Treatments (11 papers). The work is most often cited by research in Hematology (783 citations), Immunology (896 citations) and Cancer Research (502 citations). Denis Puthier has collaborated with scholars based in France, Thailand and Brazil. Frequent co-authors include Martine Amiot, Régis Bataille, Catherine Nguyen, Jean‐Luc Harousseau, Catherine Pellat‐Deceunynck, Nelly Robillard, Salvatore Spicuglia, Gaëtan Jégo, Danielle Pineau and M J Rapp. Their work appears in journals such as Nature Genetics, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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