Rob de Waal

1.2k citations
10 papers · 934 indexed · 1 hit paper · h-index 8
Topics
Protease and Inhibitor Mechanisms (3 papers)Cell Adhesion Molecules Research (3 papers)Renal cell carcinoma treatment (2 papers)

In The Last Decade

Rob de Waal

10 papers receiving 906 citations

Hit Papers

Heterozygous Germline Mutations in the p53 Homolog p63 Ar...19992026200820171999100200300400500

Peers

Rob de Waal
Comparison fields: 5 of 80
  • Molecular Biology 548
  • Oncology 411
  • Genetics 204
  • Cancer Research 124
  • Biotechnology 99
Replace Yoshinori Nimura with:
Yoshinori Nimura Japan
Andrew D. Simmons United States
Amy E. Geddis United States
D Bautista Canada
Pamela M.J. McLaughlin Netherlands
Nianjun Tao United States
SC Peiper United States
Jeannine Lacroix Germany
Hideo Maki Japan
Shumpei Ohnami Japan
Rob de Waal relative to Yoshinori Nimura Japan Yoshinori Nimura's profile →
Citations per field
00.5×1.6×
Yoshinori Nimura · 1×
Citations per year

Countries citing papers authored by Rob de Waal

Since Specialization
Citations

This map shows the geographic impact of Rob de Waal'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 Rob de Waal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob de Waal more than expected).

Fields of papers citing papers by Rob de Waal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob de Waal. 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 Rob de Waal. The network helps show where Rob de Waal may publish in the future.

Co-authorship network of co-authors of Rob de Waal

This figure shows the co-authorship network connecting the top 25 collaborators of Rob de Waal. A scholar is included among the top collaborators of Rob de Waal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rob de Waal. Rob de Waal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 15
2 63
3 1
4 17
5 9
6
P63 mutations in the EEC, Hay-Wells, ADULT syndromes and in split hand/foot malformation reveals a genotype-phenotype correlation.
6
7
Heterozygous Germline Mutations in the p53 Homolog p63 Are the Cause of EEC Syndromebreakdown →
536
8 61
9 136
10 90

About Rob de Waal

Rob de Waal is a scholar working on Immunology and Allergy, Physiology and Modeling and Simulation, having authored 10 papers that have together received 934 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Developmental Biology (44 citations), Oncology (411 citations) and Biotechnology (99 citations). Rob de Waal has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jacopo Celli, Ben C.J. Hamel, Hans van Bokhoven, Frank McKeon, Griet Van Buggenhout, Daniel A. Haber, Pascal H. G. Duijf, Han G. Brunner, Ruth Newbury‐Ecob and Gert Vriend. Their work appears in journals such as Cell, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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