Pascal Morel

163 papers receiving 4.0k citations

Pascal Morel's Hit Papers

Autoantibodies neutralizing type I IFNs are present in ~4% of uninfected individuals over 70 years old and account for ~20% of COVID-19 deaths 2021 · 466 citations
4660+1+3Years since publication100200300400

Peers

Pascal Morel
Comparison fields: 5 of 122
  • Biochemistry 466
  • Hematology 774
  • Hepatology 443
  • Infectious Diseases 1.0k
  • Management of Technology and Innovation 328
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Citations per year

Countries citing papers authored by Pascal Morel

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Morel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autoantibodies neutralizing type I IFNs are present in ~4% of uninfected individuals over 70 years old and account for ~20% of COVID-19 deaths
Hit paper breakdown →
2021466
2
Cytogenetic analysis has strong independent prognostic value in de novo myelodysplastic syndromes and can be incorporated in a new scoring system: a report on 408 cases.
1993276
3 2002229
4 2020194
5 2016190
6 1993154
7
Cytogenetics of myelodysplastic syndromes.
1996151
8 2022142
9 2020123
10 1991116
11 2020101
12 202299
13 200589
14 199874
15 202064
16 201660
17 201859
18 201453
19 202253
20 200853

About Pascal Morel

Pascal Morel is a scholar working on Management of Technology and Innovation, Biochemistry, Hematology, Hepatology and Infectious Diseases, having authored 175 papers that have together received 4.2k indexed citations. Recurring topics across this work include Blood donation and transfusion practices (33 papers), Blood transfusion and management (28 papers), Blood groups and transfusion (17 papers), SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (14 papers), Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (8 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Biochemistry (466 citations), Hematology (774 citations), Hepatology (443 citations), Infectious Diseases (1.0k citations) and Management of Technology and Innovation (328 citations). Pascal Morel has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Pierre Fenaux, Pierre Gallian, Pierre Tiberghien, JL Laï, Syria Laperche, Xavier Nicolas de Lamballerie, F Bauters, J L Laï, Eric Wattel and Claude Preudhomme. Their work appears in journals such as Vox Sanguinis, Transfusion, Eurosurveillance, Blood and Transfusion Clinique et Biologique.

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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