Daniela Cutas

641 citations
39 papers · 383 · h-index 12

Impact in

Papers in

Daniela Cutas

32 papers receiving 334 citations

Peers

Daniela Cutas
Comparison fields: 5 of 65
  • Reproductive Medicine 153
  • Pediatrics, Perinatology and Child Health 78
  • Gender Studies 40
  • Public Health, Environmental and Occupational Health 92
  • Cognitive Neuroscience 53
Replace Isabel Karpin with:
Isabel Karpin Australia
Jyotsna Gupta India
Anne Donchin United States
Lauren Jade Martin United States
Zeynep B. Gürtin United Kingdom
Ezio Di Nucci Denmark
Tina Rulli United States
Elizabeth Brake United States
Meg Stacey United States
E. Blyth United Kingdom
Daniela Cutas relative to Isabel Karpin Australia Isabel Karpin's profile →
Citations per field
00.5×2×2.5×
Isabel Karpin · 1×
Citations per year

Countries citing papers authored by Daniela Cutas

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cutas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniela Cutas, 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 Daniela Cutas Line = papers co-authored together Daniela Cutas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201181
2 201251
3 201424
4 201519
5 200719
6 201318
7 201318
8 201416
9 201615
10 200714
11 201114
12 200512
13 201411
14 20089
15 20188
16 20098
17 20176
18 20175
19 20075
20 20094

About Daniela Cutas

Daniela Cutas is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Cognitive Neuroscience and Demography, having authored 39 papers that have together received 383 indexed citations. Recurring topics across this work include Reproductive Health and Technologies (26 papers), Ethics and Legal Issues in Pediatric Healthcare (9 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers), Family Dynamics and Relationships (6 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers), Pluripotent Stem Cells Research (4 papers), Reproductive Biology and Fertility (4 papers) and Ethics in medical practice (2 papers). The work is most often cited by research in Reproductive Medicine (153 citations), Pediatrics, Perinatology and Child Health (78 citations), Gender Studies (40 citations), Public Health, Environmental and Occupational Health (92 citations) and Cognitive Neuroscience (53 citations). Daniela Cutas has collaborated with scholars based in Sweden, United Kingdom and Norway. Frequent co-authors include Anna Smajdor, Sarah Chan, Christian Munthe, Lars Sandman, David Shaw, Kristien Hens, Wybo Dondorp, Sjoerd Repping, Tsjalling Swierstra and Guido de Wert. Their work appears in journals such as Journal of Medical Ethics, Health Care Analysis, Bioethics, Medicine Health Care and Philosophy and Science and Engineering Ethics.

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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