Thierry Rème
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 47
- Multiple Myeloma Research and Treatments 47
-
- Glycosylation and Glycoproteins Research 12
- Protein Degradation and Inhibitors 9
- Co-authors
- Bernard Klein (62 shared papers)John De Vos (33 shared papers)Dirk Hose (52 shared papers)Jérôme Moreaux (36 shared papers)Hartmut Goldschmidt (41 shared papers)Jean‐François Rossi (20 shared papers)Véronique Pantesco (14 shared papers)Karin Tarte (6 shared papers)
- Journals
- Blood (24 papers)The Journal of Immunology (5 papers)British Journal of Haematology (5 papers)Haematologica (4 papers)Oncogene (4 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Thierry Rème
101 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 109
- Hematology 1.8k
- Immunology 1.6k
- Oncology 1.2k
- Genetics 470
- Molecular Biology 2.2k
Countries citing papers authored by Thierry Rème
This map shows the geographic impact of Thierry Rème'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 Thierry Rème with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Rème more than expected).
Fields of papers citing papers by Thierry Rème
This network shows the impact of papers produced by Thierry Rème. 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 Thierry Rème. The network helps show where Thierry Rème may publish in the future.
Co-authors
The 25 scholars most cited alongside Thierry Rème, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 432 | |
| 2 | 2007 | 276 | |
| 3 | 2007 | 253 | |
| 4 | 2005 | 197 | |
| 5 | 2006 | 192 | |
| 6 | 2009 | 176 | |
| 7 | 2005 | 166 | |
| 8 | 2008 | 163 | |
| 9 | 2008 | 159 | |
| 10 | 2010 | 151 | |
| 11 | 2002 | 136 | |
| 12 | 2009 | 128 | |
| 13 | 2010 | 124 | |
| 14 | 2002 | 117 | |
| 15 | 2007 | 116 | |
| 16 | 1993 | 114 | |
| 17 | 2011 | 113 | |
| 18 | 2015 | 107 | |
| 19 | 2009 | 105 | |
| 20 | 2007 | 102 |
About Thierry Rème
Thierry Rème is a scholar working on Hematology, Molecular Biology, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 102 papers that have together received 5.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (47 papers), T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Immunotherapy and Immune Responses (13 papers), Glycosylation and Glycoproteins Research (12 papers), Protein Degradation and Inhibitors (9 papers), Cell Adhesion Molecules Research (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Hematology (1.8k citations), Immunology (1.6k citations), Oncology (1.2k citations), Genetics (470 citations) and Molecular Biology (2.2k citations). Thierry Rème has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Bernard Klein, John De Vos, Dirk Hose, Jérôme Moreaux, Hartmut Goldschmidt, Jean‐François Rossi, Véronique Pantesco, Karin Tarte, Karène Mahtouk and S. Hamamah. Their work appears in journals such as Blood, The Journal of Immunology, British Journal of Haematology, Haematologica and Oncogene.
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.