Stéphane Picard

794 citations
8 papers · 613 · h-index 5

Impact in

  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 5

Stéphane Picard

8 papers receiving 601 citations

Peers

Stéphane Picard
Comparison fields: 5 of 56
  • Hematology 480
  • Genetics 397
  • Rheumatology 240
  • Gastroenterology 47
  • Oncology 89
Replace Lucia Tornaghi with:
Lucia Tornaghi Italy
Stéphanie Dulucq France
Monique Ben‐Am Switzerland
Elena Tóthová Slovakia
Lindsey E. Roeker United States
Gabriel Medrano-Ramírez Mexico
Pedro Enrique Dorlhiac‐Llacer Brazil
Erika M. Mosesón United States
Andrea Patriarca Italy
Perttu Koskenvesa Finland
Stéphane Picard relative to Lucia Tornaghi Italy Lucia Tornaghi's profile →
Citations per field
00.5×6.5×
Lucia Tornaghi · 1×
Citations per year

Countries citing papers authored by Stéphane Picard

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Stéphane Picard, 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 Stéphane Picard Line = papers co-authored together Stéphane Picard links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006468
2 200584
3 201730
4
Absence of genetic abnormalities in fibroadenomas of the breast determined at p53 gene mutations and microsatellite alterations.
200115
5 20077
6 20024
7 20064
8 20051

About Stéphane Picard

Stéphane Picard is a scholar working on Genetics, Hematology, Rheumatology, Pathology and Forensic Medicine and Infectious Diseases, having authored 8 papers that have together received 613 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Cancer and Skin Lesions (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic factors in colorectal cancer (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Hematology (480 citations), Genetics (397 citations), Rheumatology (240 citations), Gastroenterology (47 citations) and Oncology (89 citations). Stéphane Picard has collaborated with scholars based in France. Frequent co-authors include Mathiéu Molimard, François‐Xavier Mahon, Nicholas Moore, Karine Titier, Dominique Ducint, Gérald Marit, R. Lassalle, Bernard Bégaud, Josy Reiffers and Marie‐Agnès Bernard. Their work appears in journals such as Blood, Therapeutic Drug Monitoring, Oncology Reports, Journal of Cancer Research and Clinical Oncology and PubMed.

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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