Laurence Clément
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Transplantation top 10%
Papers in
- Hematology 14
- Hematopoietic Stem Cell Transplantation 12
- Acute Myeloid Leukemia Research 7
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- Cytomegalovirus and herpesvirus research 5
- Co-authors
- Pierre Bordigoni (12 shared papers)Alexandra Salmon (9 shared papers)Cédric Baumann (2 shared papers)L. Mainard (3 shared papers)Véronique Venard (5 shared papers)Sophie Dimicoli (2 shared papers)Hélène Jeulin (3 shared papers)Francis Witz (1 shared paper)
- Journals
- Bone Marrow Transplantation (6 papers)Blood (3 papers)Journal of Immunotherapy (2 papers)Biology of Blood and Marrow Transplantation (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Laurence Clément
31 papers receiving 430 citations
Peers
Comparison fields: 5 of 50
- Hematology 146
- Transplantation 22
- Immunology 98
- Oncology 110
- Epidemiology 107
Countries citing papers authored by Laurence Clément
This map shows the geographic impact of Laurence Clément'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 Laurence Clément with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Clément more than expected).
Fields of papers citing papers by Laurence Clément
This network shows the impact of papers produced by Laurence Clément. 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 Laurence Clément. The network helps show where Laurence Clément may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurence Clément, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 42 | |
| 2 | 2016 | 42 | |
| 3 | 2008 | 40 | |
| 4 | 2013 | 35 | |
| 5 | 2001 | 29 | |
| 6 | 2002 | 25 | |
| 7 | 2003 | 23 | |
| 8 | 2013 | 21 | |
| 9 | 2010 | 20 | |
| 10 | 2010 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2017 | 20 | |
| 13 | 2015 | 17 | |
| 14 | 2011 | 10 | |
| 15 | 2009 | 9 | |
| 16 | 2015 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2002 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2016 | 6 |
About Laurence Clément
Laurence Clément is a scholar working on Hematology, Epidemiology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 434 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Acute Myeloid Leukemia Research (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Virus-based gene therapy research (4 papers), Antifungal resistance and susceptibility (3 papers), Mesenchymal stem cell research (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Hematology (146 citations), Transplantation (22 citations), Immunology (98 citations), Oncology (110 citations) and Epidemiology (107 citations). Laurence Clément has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Pierre Bordigoni, Alexandra Salmon, Cédric Baumann, L. Mainard, Véronique Venard, Sophie Dimicoli, Hélène Jeulin, Francis Witz, Pierre Feugier and Nelly Agrinier. Their work appears in journals such as Bone Marrow Transplantation, Blood, Journal of Immunotherapy, Biology of Blood and Marrow Transplantation and British Journal of Haematology.
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.