Gemma Arca

40 papers receiving 453 citations

Peers

Gemma Arca
Comparison fields: 5 of 50
  • Pediatrics, Perinatology and Child Health 298
  • Obstetrics and Gynecology 28
  • Endocrine and Autonomic Systems 25
  • Hematology 42
  • Emergency Medicine 24
Replace Thaïs Agut with:
Thaïs Agut Spain
Alexandra Zecic Belgium
Agnese De Carli Italy
Annemieke J. Brouwer Netherlands
Deirdre Sweetman Ireland
Imran Nazir Mir United States
Ginette M. Ecury‐Goossen Netherlands
Johanna C Harteman Netherlands
Hendrik J. ter Horst Netherlands
Claire Boithias France
Gemma Arca relative to Thaïs Agut Spain Thaïs Agut's profile →
Citations per field
00.5×1.5×2.1×
Thaïs Agut · 1×
Citations per year

Countries citing papers authored by Gemma Arca

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Arca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201450
2 201739
3 201033
4 202029
5 201724
6 201321
7 201620
8 200619
9 201018
10 201918
11 201717
12 201716
13 201915
14 201712
15 202111
16 202110
17 20219
18 20229
19 20069
20 20179

About Gemma Arca

Gemma Arca is a scholar working on Pediatrics, Perinatology and Child Health, Hematology, Obstetrics and Gynecology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 471 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (22 papers), Neonatal Respiratory Health Research (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Congenital Heart Disease Studies (3 papers), Pregnancy and preeclampsia studies (3 papers), Fetal and Pediatric Neurological Disorders (2 papers), Cerebral Venous Sinus Thrombosis (2 papers) and Preterm Birth and Chorioamnionitis (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (298 citations), Obstetrics and Gynecology (28 citations), Endocrine and Autonomic Systems (25 citations), Hematology (42 citations) and Emergency Medicine (24 citations). Gemma Arca has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alfredo Garcı́a-Alix, Thaïs Agut, Juan Arnáez, Ana Alarcón, Ana Martín‐Ancel, Miguel Alsina Casanova, Xavier Carbonell‐Estrany, Francesc Botet, Christian Núñez and Christian Stephan‐Otto. Their work appears in journals such as Pediatric Research, Archives of Disease in Childhood Fetal & Neonatal, Pediatric Neurology, American Journal of Obstetrics and Gynecology and PLoS ONE.

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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