Dagan Wells

15.2k total citations
162 papers, 9.1k citations indexed

About

Dagan Wells is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dagan Wells has authored 162 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Pediatrics, Perinatology and Child Health, 66 papers in Genetics and 59 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dagan Wells's work include Prenatal Screening and Diagnostics (110 papers), Reproductive Biology and Fertility (56 papers) and Assisted Reproductive Technology and Twin Pregnancy (46 papers). Dagan Wells is often cited by papers focused on Prenatal Screening and Diagnostics (110 papers), Reproductive Biology and Fertility (56 papers) and Assisted Reproductive Technology and Twin Pregnancy (46 papers). Dagan Wells collaborates with scholars based in United Kingdom, United States and Spain. Dagan Wells's co-authors include E. Fragouli, S. Munné, S. Alfarawati, P. Colls, Katharina Späth, Jacques Cohen, William B. Schoolcraft, M. Katz-Jaffe, J. Grifo and Cristina Gutiérrez-Mateo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dagan Wells

159 papers receiving 8.7k citations

Peers

Dagan Wells
Comparison fields: 5 of 136
  • Pediatrics, Perinatology and Child Health 5.9k
  • Public Health, Environmental and Occupational Health 4.1k
  • Molecular Biology 3.0k
  • Genetics 2.6k
  • Reproductive Medicine 1.8k
Replace Nathan R. Treff with:
Nathan R. Treff United States
Alan H. Handyside United Kingdom
Jacques Cohen United States
S. Munné United States
Alan R. Thornhill United Kingdom
William B. Schoolcraft United States
Kenichiro Hata Japan
M. Cristina Magli Italy
Joy Delhanty United Kingdom
Fátima Santos United Kingdom
Nathan R. Treff United States View profile →
Citations per field, relative to Dagan Wells
Dagan Wells · 1×
Citations per year, relative to Dagan Wells
Dagan Wells · 1×

Countries citing papers authored by Dagan Wells

Since Specialization
Citations

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

Fields of papers citing papers by Dagan Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dagan Wells. 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 Dagan Wells. The network helps show where Dagan Wells may publish in the future.

Co-authorship network of co-authors of Dagan Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Dagan Wells. A scholar is included among the top collaborators of Dagan Wells 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 Dagan Wells. Dagan Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 2
5 144
6 1
7 164
8 9
9 1
10 3
11 131
12 1
13 2
14 130
15 2
16 3
17 34
18 155
19 26
20 1

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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