Gemma Arca

774 citations
41 papers · 406 indexed · h-index 12

Gemma Arca

35 papers receiving 395 citations

Peers

Gemma Arca
Comparison fields: 5 of 51
  • Pediatrics, Perinatology and Child Health 305
  • Endocrine and Autonomic Systems 54
  • Pulmonary and Respiratory Medicine 186
  • Emergency Medicine 50
  • Obstetrics and Gynecology 33
Replace Thaïs Agut with:
Thaïs Agut Spain
Deirdre Sweetman Ireland
Imran N. Mir United States
Mari Falck Norway
Brian A. Lupton Canada
Alessandro Parodi Italy
Marlou M. A. Raets Netherlands
Annemieke J. Brouwer Netherlands
Agnese De Carli Italy
Mohamed Tagin Canada
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-authorship network

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
#Work
1 20260
2 20250
3 20240
4 20240
5 20243
6 20234
7 20232
8 20227
9 20218
10 20218
11 20208
12 202023
13 20195
14 201911
15 20178
16 201723
17 201444
18 20125
19 201033
20 200617

About Gemma Arca

Gemma Arca is a scholar working on Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Hematology, having authored 41 papers that have together received 406 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (25 papers), Neonatal Respiratory Health Research (13 papers), Neuroscience of respiration and sleep (7 papers), Fetal and Pediatric Neurological Disorders (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Pregnancy and preeclampsia studies (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (305 citations), Endocrine and Autonomic Systems (54 citations), Pulmonary and Respiratory Medicine (186 citations), Emergency Medicine (50 citations) and Obstetrics and Gynecology (33 citations). Gemma Arca has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alfredo García‐Alix, Thaïs Agut, Juan Arnáez, Ana Alarcón, Xavier Carbonell‐Estrany, Miguel Alsina Casanova, Francesc Botet, Ana Martín‐Ancel, Christian Núñez and Christian Stephan‐Otto. Their work appears in journals such as Pediatric Research, Archives of Disease in Childhood Fetal & Neonatal, Pediatric Neurology, PLoS ONE and The Journal of Pediatrics.

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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