Philippe Haas

612 citations
11 papers · 475 · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4
    • Hematopoietic Stem Cell Transplantation 5

Philippe Haas

11 papers receiving 467 citations

Peers

Philippe Haas
Comparison fields: 5 of 53
  • Hematology 211
  • Immunology 393
  • Transplantation 12
  • Biological Psychiatry 6
  • Oncology 65
Replace Sharat Chandra with:
Sharat Chandra United States
Elena Boyakova Russia
José María Sánchez‐Pina Spain
Toshihiro Matsukawa Japan
Y L Tracey Chan United Kingdom
Yajing Xu China
Beth A. Martin United States
Lisa Cook United States
Manuela Testi Italy
Jane Samuel United Kingdom
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Citations per field
00.5×3.5×
Sharat Chandra · 1×
Citations per year

Countries citing papers authored by Philippe Haas

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Haas, 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 Philippe Haas Line = papers co-authored together Philippe Haas links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008113
2 200697
3 200982
4 201051
5 200948
6 201447
7 202215
8 20238
9 19837
10 20216
11 20221

About Philippe Haas

Philippe Haas is a scholar working on Immunology, Hematology, Infectious Diseases, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 475 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), T-cell and B-cell Immunology (4 papers), COVID-19 Clinical Research Studies (3 papers), Vitamin D Research Studies (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Heart Failure Treatment and Management (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Hematology (211 citations), Immunology (393 citations), Transplantation (12 citations), Biological Psychiatry (6 citations) and Oncology (65 citations). Philippe Haas has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Nicolas Dulphy, Antoine Toubert, Dominique Charron, Marc Busson, Gèrard Socié, Ryad Tamouza, Régis Peffault de Latour, Catherine Scieux, Vanderson Rocha and Philippe M. Loiseau. Their work appears in journals such as The Journal of Immunology, Trials, Blood, Bone Marrow Transplantation and Biomedicines.

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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