John De Vos
Impact in
- Paleontology top 0.5%
- Evolution and Paleontology Studies
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
Papers in
-
- Pluripotent Stem Cells Research 29
- CRISPR and Genetic Engineering 19
- Paleontology 42
- Evolution and Paleontology Studies 37
- Co-authors
- Bernard Klein (57 shared papers)Saïd Assou (54 shared papers)S. Hamamah (34 shared papers)Thierry Rème (33 shared papers)D. Haouzi (17 shared papers)Véronique Pantesco (22 shared papers)Michel Jourdan (20 shared papers)Jérôme Moreaux (24 shared papers)
- Journals
- Blood (27 papers)Fertility and Sterility (7 papers)PLoS ONE (7 papers)Journal of Human Evolution (7 papers)Oncogene (6 papers)
- Partner nations
- FranceNetherlandsGermany
In The Last Decade
John De Vos
221 papers receiving 10.3k citations
John De Vos's Hit Papers
Peers
Comparison fields: 5 of 166
- Paleontology 1.4k
- Hematology 1.6k
- Anthropology 1.4k
- Immunology 1.8k
- Reproductive Medicine 681
Countries citing papers authored by John De Vos
This map shows the geographic impact of John De Vos'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 John De Vos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John De Vos more than expected).
Fields of papers citing papers by John De Vos
This network shows the impact of papers produced by John De Vos. 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 John De Vos. The network helps show where John De Vos may publish in the future.
Co-authors
The 25 scholars most cited alongside John De Vos, 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 231 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Utility of Microarray-Based Gene Expression Profiling in the Diagnosis and Subclassification of Leukemia: Report From the International Microarray Innovations in Leukemia Study Group Hit paper breakdown → | 2010 | 473 |
| 2 | 2009 | 425 | |
| 3 | 2011 | 408 | |
| 4 | 2007 | 276 | |
| 5 | 2006 | 238 | |
| 6 | 2001 | 222 | |
| 7 | 2009 | 208 | |
| 8 | 2009 | 199 | |
| 9 | 2005 | 197 | |
| 10 | 1995 | 193 | |
| 11 | 2006 | 192 | |
| 12 | 2010 | 181 | |
| 13 | 2009 | 176 | |
| 14 | 2003 | 175 | |
| 15 | 2003 | 163 | |
| 16 | 2008 | 163 | |
| 17 | 2008 | 159 | |
| 18 | 2000 | 147 | |
| 19 | 1997 | 140 | |
| 20 | 2002 | 136 |
About John De Vos
John De Vos is a scholar working on Molecular Biology, Paleontology, Anthropology, Hematology and Immunology, having authored 231 papers that have together received 10.6k indexed citations. Recurring topics across this work include Pleistocene-Era Hominins and Archaeology (39 papers), Evolution and Paleontology Studies (37 papers), Pluripotent Stem Cells Research (29 papers), Multiple Myeloma Research and Treatments (26 papers), Pacific and Southeast Asian Studies (20 papers), Reproductive Biology and Fertility (19 papers), CRISPR and Genetic Engineering (19 papers) and Neonatal Respiratory Health Research (13 papers). The work is most often cited by research in Paleontology (1.4k citations), Hematology (1.6k citations), Anthropology (1.4k citations), Immunology (1.8k citations) and Reproductive Medicine (681 citations). John De Vos has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Bernard Klein, Saïd Assou, S. Hamamah, Thierry Rème, D. Haouzi, Véronique Pantesco, Michel Jourdan, Jérôme Moreaux, Karin Tarte and H. Déchaud. Their work appears in journals such as Blood, Fertility and Sterility, PLoS ONE, Journal of Human Evolution 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.