Dagan Wells

15.4k citations
163 papers · 9.2k · h-index 56

Impact in

Papers in

Dagan Wells

159 papers receiving 8.8k citations

Peers

Dagan Wells
Comparison fields: 5 of 133
  • Pediatrics, Perinatology and Child Health 4.9k
  • Reproductive Medicine 1.2k
  • Public Health, Environmental and Occupational Health 2.9k
  • Genetics 1.8k
  • Aging 116
Replace Nathan R. Treff with:
Nathan R. Treff United States
S. Munné United States
Jacques Cohen United States
Alan H. Handyside United Kingdom
Kenichiro Hata Japan
Kay Elder United Kingdom
Fátima Santos United Kingdom
Clifford Librach Canada
Anne Grete Byskov Denmark
Franck Pellestor France
Dagan Wells relative to Nathan R. Treff United States Nathan R. Treff's profile →
Citations per field
00.5×1.5×1.9×
Nathan R. Treff · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dagan Wells, 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 Dagan Wells Line = papers co-authored together Dagan Wells links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010318
2 2017257
3 2013250
4 2015249
5 2010244
6 2009233
7 1999228
8 2013215
9 2010206
10 2017201
11 2014193
12 2017192
13 2010181
14 2017174
15 2020166
16 2007161
17 2008155
18 2002148
19 2021146
20 2017139

About Dagan Wells

Dagan Wells is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Clinical Biochemistry, having authored 163 papers that have together received 9.2k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (100 papers), Reproductive Biology and Fertility (44 papers), Genomic variations and chromosomal abnormalities (30 papers), Assisted Reproductive Technology and Twin Pregnancy (30 papers), Genetic Syndromes and Imprinting (18 papers), Mitochondrial Function and Pathology (12 papers), Metabolism and Genetic Disorders (11 papers) and Renal and related cancers (11 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (4.9k citations), Reproductive Medicine (1.2k citations), Public Health, Environmental and Occupational Health (2.9k citations), Genetics (1.8k citations) and Aging (116 citations). Dagan Wells has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include E. Fragouli, S. Munné, S. Alfarawati, P. Colls, Katharina Späth, Jacques Cohen, William B. Schoolcraft, M. Katz-Jaffe, Cristina Gutiérrez-Mateo and Zhongwei Huang. Their work appears in journals such as Fertility and Sterility, Reproductive BioMedicine Online, Human Reproduction, Prenatal Diagnosis and Obstetrical & Gynecological Survey.

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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