C. Pecquet
Impact in
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 31
- Myeloproliferative Neoplasms: Diagnosis and Treatment 29
- Dermatology 27
- Contact Dermatitis and Allergies 24
- Co-authors
- Stefan N. Constantinescu (35 shared papers)F Leynadier (21 shared papers)J. Dry (5 shared papers)William Vainchenker (16 shared papers)Michael Girardot (4 shared papers)Jean‐Philippe Defour (11 shared papers)Róbert Královics (8 shared papers)Caroline Marty (7 shared papers)
In The Last Decade
C. Pecquet
83 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Genetics 1.1k
- Hematology 916
- Dermatology 517
- Immunology and Allergy 271
- Chemical Health and Safety 32
Countries citing papers authored by C. Pecquet
This map shows the geographic impact of C. Pecquet'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 C. Pecquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Pecquet more than expected).
Fields of papers citing papers by C. Pecquet
This network shows the impact of papers produced by C. Pecquet. 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 C. Pecquet. The network helps show where C. Pecquet may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Pecquet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 233 | |
| 2 | 2015 | 187 | |
| 3 | 2008 | 129 | |
| 4 | 1989 | 122 | |
| 5 | 1992 | 118 | |
| 6 | 2010 | 113 | |
| 7 | 2006 | 104 | |
| 8 | 2005 | 95 | |
| 9 | 2010 | 77 | |
| 10 | 2011 | 66 | |
| 11 | 2015 | 62 | |
| 12 | 2009 | 60 | |
| 13 | 2017 | 60 | |
| 14 | 2013 | 59 | |
| 15 | 1990 | 59 | |
| 16 | 2014 | 57 | |
| 17 | 2008 | 49 | |
| 18 | 1992 | 48 | |
| 19 | 2013 | 46 | |
| 20 | 2005 | 44 |
About C. Pecquet
C. Pecquet is a scholar working on Genetics, Dermatology, Molecular Biology, Hematology and Rheumatology, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (29 papers), Contact Dermatitis and Allergies (24 papers), Kruppel-like factors research (16 papers), Food Allergy and Anaphylaxis Research (13 papers), Chronic Myeloid Leukemia Treatments (10 papers), Drug-Induced Adverse Reactions (9 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Genetics (1.1k citations), Hematology (916 citations), Dermatology (517 citations), Immunology and Allergy (271 citations) and Chemical Health and Safety (32 citations). C. Pecquet has collaborated with scholars based in France, Belgium and Austria. Frequent co-authors include Stefan N. Constantinescu, F Leynadier, J. Dry, William Vainchenker, Michael Girardot, Jean‐Philippe Defour, Róbert Královics, Caroline Marty, Isabelle Plo and Ilyas Chachoua. Their work appears in journals such as Blood, Journal of Allergy and Clinical Immunology, Contact Dermatitis, Oncogene and Allergy.
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.