Laurence Lodé
- Hematology top 1%
- Multiple Myeloma Research and Treatments 13
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 4
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 5
- Oncology top 10%
- Cancer Treatment and Pharmacology 2
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 4
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- Monoclonal and Polyclonal Antibodies Research 4
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- Immune Cell Function and Interaction 2
- Co-authors
- Hervé Avet‐LoiseauStéphane MinvielleRégis BatailleJean‐Luc HarousseauFlorence MagrangeasPhilippe MoreauL. CampionRichard Garand
- Cited by
- HematologyGeneticsOncology
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Laurence Lodé
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 61
- Hematology 848
- Genetics 209
- Oncology 429
- Molecular Biology 878
- Cancer Research 125
Countries citing papers authored by Laurence Lodé
This map shows the geographic impact of Laurence Lodé'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 Lodé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Lodé more than expected).
Fields of papers citing papers by Laurence Lodé
This network shows the impact of papers produced by Laurence Lodé. 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 Lodé. The network helps show where Laurence Lodé may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laurence Lodé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 4 | |
| 2 | 2015 | 38 | |
| 3 | 2014 | 10 | |
| 4 | 2014 | 11 | |
| 5 | 2013 | 79 | |
| 6 | 2013 | 16 | |
| 7 | 2013 | 3 | |
| 8 | 2013 | 36 | |
| 9 | 2012 | 83 | |
| 10 | 2011 | 91 | |
| 11 | 2010 | 105 | |
| 12 | 2008 | 269 | |
| 13 | 2007 | 3 | |
| 14 | 2006 | 73 | |
| 15 | Facteurs pronostiques biologiques dans le myélome multiple | 2005 | 2 |
| 16 | 2004 | 89 | |
| 17 | 2004 | 25 | |
| 18 | 2004 | 9 | |
| 19 | 2003 | 43 | |
| 20 | 2001 | 28 |
About Laurence Lodé
Laurence Lodé is a scholar working on Hematology, Genetics, Transplantation, Oncology and Developmental Neuroscience, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Chronic Lymphocytic Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (848 citations), Genetics (209 citations), Oncology (429 citations), Molecular Biology (878 citations) and Cancer Research (125 citations). Laurence Lodé has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Hervé Avet‐Loiseau, Stéphane Minvielle, Régis Bataille, Jean‐Luc Harousseau, Florence Magrangeas, Philippe Moreau, L. Campion, Richard Garand, Pascal Jézéquel and Catherine Guérin‐Charbonnel. Their work appears in journals such as Blood, Leukemia, Biology of Blood and Marrow Transplantation, Clinical Cancer Research and PROTEOMICS.
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.