Bénédicte Puissant‐Lubrano

2.2k citations
47 papers · 1.6k indexed · 1 hit paper · h-index 16

Bénédicte Puissant‐Lubrano

46 papers receiving 1.6k citations

Hit Papers

Immunomodulatory effect of human adipose tissue‐derived a...7592005202620122019250500750

Peers

Bénédicte Puissant‐Lubrano
Comparison fields: 5 of 97
  • Genetics 673
  • Virology 209
  • Transplantation 94
  • Immunology 359
  • Hepatology 117
Replace Gian Paolo Bagnara with:
Gian Paolo Bagnara Italy
Roberta Angeli Italy
M Benbunan France
Beverly Torok‐Storb United States
Mickey Koh United Kingdom
Antonia Moretta Italy
C Clavel France
Marius Strioga Lithuania
Brigitte Rüster Germany
Christene A. Huang United States
Bénédicte Puissant‐Lubrano relative to Gian Paolo Bagnara Italy Gian Paolo Bagnara's profile →
Citations per field
00.5×5.9×
Gian Paolo Bagnara · 1×
Citations per year

Countries citing papers authored by Bénédicte Puissant‐Lubrano

Since Specialization
Citations

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

Fields of papers citing papers by Bénédicte Puissant‐Lubrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bénédicte Puissant‐Lubrano. 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 Bénédicte Puissant‐Lubrano. The network helps show where Bénédicte Puissant‐Lubrano may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Bénédicte Puissant‐Lubrano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bénédicte Puissant‐Lubrano Line = papers co-authored together Bénédicte Puissant‐Lubrano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 20182
4 20171
5 20162
6 201513
7 201025
8 201079
9 2009140
10 200815
11 200716
12 200625
13 200610
14 20056
15
Immunomodulatory effect of human adipose tissue‐derived adult stem cells: comparison with bone marrow mesenchymal stem cellsbreakdown →
2005759
16 20044
17 200410
18 200312
19 20012
20 200072

About Bénédicte Puissant‐Lubrano

Bénédicte Puissant‐Lubrano is a scholar working on Virology, Transplantation, Immunology, Hematology and Microbiology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Multiple Sclerosis Research Studies (5 papers), Blood groups and transfusion (5 papers), Renal Transplantation Outcomes and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Genetics (673 citations), Virology (209 citations), Transplantation (94 citations), Immunology (359 citations) and Hepatology (117 citations). Bénédicte Puissant‐Lubrano has collaborated with scholars based in France, United States and Vietnam. Frequent co-authors include Antoine Blancher, M. Abbal, Louis Casteilla, Philippe Bourin, Christine Bousquet, C Clavel, Béatrice Cousin, Corinne Barreau, Luc Pénicaud and Jill Corre. Their work appears in journals such as AIDS, Immunogenetics, Clinical Immunology, Clinical Biochemistry and Cardiovascular Pathology.

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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