John De Vos

15.8k citations
228 papers · 10.5k · h-index 60

Impact in

  • Paleontology top 0.5%
    • Evolution and Paleontology Studies
  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments

Papers in

John De Vos

219 papers receiving 10.2k citations

Peers

John De Vos
Comparison fields: 5 of 167
  • Paleontology 1.5k
  • Hematology 1.7k
  • Anthropology 1.4k
  • Reproductive Medicine 953
  • Immunology 2.0k
Replace Mark W. Moore with:
Mark W. Moore United States
Martin Kircher Germany
Román Fischer United Kingdom
Ulf Gyllensten Sweden
Jaume Bertranpetit Spain
Elaine A. Ostrander United States
Geoffrey Clark United States
Stephen K. Anderson United States
Jacques Drouin Canada
Peter J. Oefner United States
John De Vos relative to Mark W. Moore United States Mark W. Moore's profile →
Citations per field
00.5×5.5×
Mark W. Moore · 1×
Citations per year

Countries citing papers authored by John De Vos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John De Vos Line = papers co-authored together John De Vos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010468
2 2009417
3 2011398
4 2007275
5 2006236
6 2001219
7 2009207
8 2005197
9 2009195
10 1995193
11 2006191
12 2010179
13 2009176
14 2003175
15 2003163
16 2008162
17 2008159
18 2000146
19 1997140
20 2002136

About John De Vos

John De Vos is a scholar working on Molecular Biology, Paleontology, Anthropology, Hematology and Public Health, Environmental and Occupational Health, having authored 228 papers that have together received 10.5k 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 (31 papers), Multiple Myeloma Research and Treatments (27 papers), Reproductive Biology and Fertility (23 papers), Pacific and Southeast Asian Studies (20 papers), CRISPR and Genetic Engineering (19 papers) and Neonatal Respiratory Health Research (13 papers). The work is most often cited by research in Paleontology (1.5k citations), Hematology (1.7k citations), Anthropology (1.4k citations), Reproductive Medicine (953 citations) and Immunology (2.0k 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, Karin Tarte, Jérôme Moreaux 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.

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