Philippe Haas

614 citations
11 papers · 495 · h-index 8

Impact in

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

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 483 citations

Peers

Philippe Haas
Comparison fields: 5 of 48
  • Immunology 387
  • Hematology 192
  • Transplantation 11
  • Oncology 61
  • Epidemiology 73
Replace Maddalena Migliavacca with:
Maddalena Migliavacca Italy
Bernard Chapuis Switzerland
Sharat Chandra United States
Michaela Calvillo Italy
Beth A. Martin United States
José María Sánchez‐Pina Spain
Thomas N. Burn United States
Kai-Yan Liu China
Solaiman Raha Germany
Yajing Xu China
Philippe Haas relative to Maddalena Migliavacca Italy Maddalena Migliavacca's profile →
Citations per field
00.5×3.2×
Maddalena Migliavacca · 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 2008115
2 2006104
3 200984
4 200955
5 201052
6 201447
7 202216
8 20238
9 19837
10 20216
11 20221

About Philippe Haas

Philippe Haas is a scholar working on Immunology, Hematology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 11 papers that have together received 495 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), Vitamin D Research Studies (2 papers), COVID-19 Clinical Research Studies (1 paper), Heart Failure Treatment and Management (1 paper), Respiratory Support and Mechanisms (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Immunology (387 citations), Hematology (192 citations), Transplantation (11 citations), Oncology (61 citations) and Epidemiology (73 citations). Philippe Haas has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Antoine Toubert, Nicolas Dulphy, Dominique Charron, Gèrard Socié, Marc Busson, Ryad Tamouza, Vanderson Rocha, Régis Peffault de Latour, Catherine Scieux and Pascale Loiseau. Their work appears in journals such as The Journal of Immunology, Blood, Trials, Biomedicines and Haematologica.

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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