Marc Lenjou
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 20
- Immunotherapy and Immune Responses 13
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Immune Response and Inflammation 4
-
- RNA Interference and Gene Delivery 6
- Co-authors
- Dirk R. Van Bockstaele (25 shared papers)Griet Nijs (26 shared papers)Zwi Berneman (22 shared papers)Filip Lardon (18 shared papers)Viggo Van Tendeloo (13 shared papers)Peter Ponsaerts (10 shared papers)Dirk Van Bockstaele (8 shared papers)Christine Van Broeckhoven (5 shared papers)
In The Last Decade
Marc Lenjou
41 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Immunology 861
- Hematology 209
- Oncology 430
- Molecular Biology 1.0k
- Genetics 275
Countries citing papers authored by Marc Lenjou
This map shows the geographic impact of Marc Lenjou'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 Marc Lenjou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Lenjou more than expected).
Fields of papers citing papers by Marc Lenjou
This network shows the impact of papers produced by Marc Lenjou. 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 Marc Lenjou. The network helps show where Marc Lenjou may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Lenjou, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 383 | |
| 2 | 2002 | 158 | |
| 3 | 2006 | 139 | |
| 4 | 1998 | 87 | |
| 5 | 1997 | 82 | |
| 6 | 2009 | 76 | |
| 7 | 2007 | 66 | |
| 8 | 2003 | 63 | |
| 9 | 2006 | 60 | |
| 10 | 1994 | 59 | |
| 11 | 2004 | 56 | |
| 12 | 2006 | 52 | |
| 13 | 2000 | 51 | |
| 14 | 1996 | 50 | |
| 15 | CD34++ CD38- and CD34+ CD38+ human hematopoietic progenitors from fetal liver, cord blood, and adult bone marrow respond differently to hematopoietic cytokines depending on the ontogenic source. | 1998 | 49 |
| 16 | 2002 | 47 | |
| 17 | 1999 | 47 | |
| 18 | 2002 | 46 | |
| 19 | 2002 | 44 | |
| 20 | 1998 | 38 |
About Marc Lenjou
Marc Lenjou is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), RNA Interference and Gene Delivery (6 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (861 citations), Hematology (209 citations), Oncology (430 citations), Molecular Biology (1.0k citations) and Genetics (275 citations). Marc Lenjou has collaborated with scholars based in Belgium, Czechia and Uganda. Frequent co-authors include Dirk R. Van Bockstaele, Griet Nijs, Zwi Berneman, Filip Lardon, Viggo Van Tendeloo, Peter Ponsaerts, Dirk Van Bockstaele, Christine Van Broeckhoven, Harry Van Onckelen and Dirk Inzé. Their work appears in journals such as Leukemia, Blood, The Journal of Experimental Medicine, Experimental Hematology and Annals of Hematology.
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.