J. L. Vaerman
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Acute Lymphoblastic Leukemia research
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 3
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 2
- RNA Interference and Gene Delivery 2
-
- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Philippe Martiat (8 shared papers)Pascale Saussoy (1 shared paper)Philippe Lewalle (3 shared papers)J.F. Heremans (2 shared papers)Hervé Bazin (2 shared papers)G. Cornu (3 shared papers)P Moureau (3 shared papers)Kunihiko Kobayashi (2 shared papers)
In The Last Decade
J. L. Vaerman
19 papers receiving 505 citations
Peers
Comparison fields: 5 of 88
- Hematology 133
- Public Health, Environmental and Occupational Health 137
- Genetics 48
- Molecular Biology 234
- Immunology 68
Countries citing papers authored by J. L. Vaerman
This map shows the geographic impact of J. L. Vaerman'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 J. L. Vaerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. L. Vaerman more than expected).
Fields of papers citing papers by J. L. Vaerman
This network shows the impact of papers produced by J. L. Vaerman. 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 J. L. Vaerman. The network helps show where J. L. Vaerman may publish in the future.
Co-authors
The 25 scholars most cited alongside J. L. Vaerman, 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 | Evaluation of real-time PCR data. | 2005 | 86 |
| 2 | 1991 | 67 | |
| 3 | 2001 | 66 | |
| 4 | 1997 | 59 | |
| 5 | 1997 | 55 | |
| 6 | 1973 | 49 | |
| 7 | 1990 | 26 | |
| 8 | 2016 | 21 | |
| 9 | 1997 | 20 | |
| 10 | Allotypes of rat immunoglobulins. I. An allotype at the alpha-chain locus. | 1974 | 18 |
| 11 | 2000 | 14 | |
| 12 | 1993 | 11 | |
| 13 | 1992 | 8 | |
| 14 | 2004 | 7 | |
| 15 | 1993 | 7 | |
| 16 | 1956 | 6 | |
| 17 | 1987 | 6 | |
| 18 | 1953 | 5 | |
| 19 | 1993 | 4 |
About J. L. Vaerman
J. L. Vaerman is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Organic Chemistry, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 535 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Acute Lymphoblastic Leukemia research (4 papers), DNA and Nucleic Acid Chemistry (3 papers), RNA Research and Splicing (2 papers), Molecular Biology Techniques and Applications (2 papers), Advanced Combustion Engine Technologies (2 papers), Cancer Genomics and Diagnostics (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Hematology (133 citations), Public Health, Environmental and Occupational Health (137 citations), Genetics (48 citations), Molecular Biology (234 citations) and Immunology (68 citations). J. L. Vaerman has collaborated with scholars based in Belgium, France and Germany. Frequent co-authors include Philippe Martiat, Pascale Saussoy, Philippe Lewalle, J.F. Heremans, Hervé Bazin, G. Cornu, P Moureau, Kunihiko Kobayashi, Franck Morschhauser and Anne‐Marie Lebacq‐Verheyden. Their work appears in journals such as British Journal of Haematology, Blood, Stem Cells, Journal of Molecular and Cellular Cardiology and The Journal of Immunology.
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.