Raphaël Porcher

30.3k citations
424 papers · 17.5k indexed · 4 hit papers · h-index 72

Impact in

Papers in

    • Statistical Methods in Clinical Trials 44
    • Advanced Causal Inference Techniques 24
    • Hematopoietic Stem Cell Transplantation 36
    • Acute Myeloid Leukemia Research 18

Raphaël Porcher

412 papers receiving 17.0k citations

Hit Papers

Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort 2022 · 161 citations
1612006202620122019200400600

Peers

Raphaël Porcher
Comparison fields: 5 of 210
  • Hematology 1.8k
  • Transplantation 317
  • Neurology 1.6k
  • Critical Care and Intensive Care Medicine 481
  • Rheumatology 1.3k
Replace Catherine Klersy with:
Catherine Klersy Italy
Jason P. Fine United States
Aeilko H. Zwinderman Netherlands
Rebecca DerSimonian United States
A. E. Ades United Kingdom
Martin Schumacher Germany
Olaf M. Dekkers Netherlands
Reem A. Mustafa United States
Friedo W. Dekker Netherlands
Philippe Ravaud France
Raphaël Porcher relative to Catherine Klersy Italy Catherine Klersy's profile →
Citations per field
00.5×1.5×
Catherine Klersy · 1×
Citations per year

Countries citing papers authored by Raphaël Porcher

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Porcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20242
3 20240
4 20240
5 20246
6 20233
7 202312
8 202242
9 202114
10 20187
11 20183
12 20167
13 2014122
14 201430
15 2011103
16 201140
17 201128
18 201098
19 201026
20 2008184

About Raphaël Porcher

Raphaël Porcher is a scholar working on Statistics and Probability, Hematology, Statistics, Probability and Uncertainty, Transplantation and Infectious Diseases, having authored 424 papers that have together received 17.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (44 papers), Health Systems, Economic Evaluations, Quality of Life (39 papers), Hematopoietic Stem Cell Transplantation (36 papers), Advanced Causal Inference Techniques (24 papers), Meta-analysis and systematic reviews (20 papers), Acute Lymphoblastic Leukemia research (19 papers), Acute Myeloid Leukemia Research (18 papers) and Antifungal resistance and susceptibility (14 papers). The work is most often cited by research in Hematology (1.8k citations), Transplantation (317 citations), Neurology (1.6k citations), Critical Care and Intensive Care Medicine (481 citations) and Rheumatology (1.3k citations). Raphaël Porcher has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Ravaud, David Biau, Marie‐Germaine Bousser, Monique Boukobza, Gèrard Socié, Anne Ducros, S. Delanian, Jean-Louis Lefaix, Ludovic Trinquart and Patricia Ribaud. Their work appears in journals such as Blood, PLoS ONE, Journal of Clinical Oncology, Statistics in Medicine and Biology of Blood and Marrow Transplantation.

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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2026