Liani Devito

27 papers receiving 1.0k citations

Hit Papers

Self-organization of the human embryo in the absence of maternal tissues 2016 · 467 citations
4672016202620192022100200300400

Peers

Liani Devito
Comparison fields: 5 of 84
  • Reproductive Medicine 98
  • Molecular Biology 770
  • Genetics 80
  • Public Health, Environmental and Occupational Health 211
  • Obstetrics and Gynecology 44
Replace Sanna Vuoristo with:
Sanna Vuoristo Finland
Nicolas Rivron Austria
Ayumu Takeuchi Japan
Behzad Gerami‐Naini United States
Koichiro Nishino Japan
Ludmila Ruban United Kingdom
Leqian Yu United States
G. Cauffman Belgium
Ivan Bedzhov Germany
Mieke Geens Belgium
Liani Devito relative to Sanna Vuoristo Finland Sanna Vuoristo's profile →
Citations per field
00.5×1.5×
Sanna Vuoristo · 1×
Citations per year

Countries citing papers authored by Liani Devito

Since Specialization
Citations

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

Fields of papers citing papers by Liani Devito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Self-organization of the human embryo in the absence of maternal tissues
Hit paper breakdown →
2016467
2 2017163
3 201477
4 201564
5 202046
6 201544
7 201439
8 201419
9 201317
10 201416
11 201915
12 201413
13 201413
14 201610
15 20087
16 20195
17 20184
18 20194
19 20164
20
New assisted reproductive technologies applied to the horse industry: successes and limitations
20084

About Liani Devito

Liani Devito is a scholar working on Genetics, Reproductive Medicine, Molecular Biology, Biotechnology and Agronomy and Crop Science, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (11 papers), Reproductive Biology and Fertility (6 papers), 3D Printing in Biomedical Research (4 papers), Mesenchymal stem cell research (3 papers), Renal and related cancers (3 papers), Transgenic Plants and Applications (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Reproductive Medicine (98 citations), Molecular Biology (770 citations), Genetics (80 citations), Public Health, Environmental and Occupational Health (211 citations) and Obstetrics and Gynecology (44 citations). Liani Devito has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Duško Ilić, Magdalena Zernicka‐Goetz, Yakoub Khalaf, Agnieszka Jędrusik, Marta N. Shahbazi, Gaëlle Recher, Kathy K. Niakan, Sanna Vuoristo, Alison Campbell and Norah M. E. Fogarty. Their work appears in journals such as Stem Cell Research, Stem Cells, Scientific Reports, Cell Death and Disease and Nature Communications.

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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