Judith Geva

8 papers receiving 971 citations

Judith Geva's Hit Papers

Brain Volume and Metabolism in Fetuses With Congenital Heart Disease 2009 · 476 citations
4760+5+11Years since publication100200300400

Peers

Judith Geva
Comparison fields: 5 of 73
  • Epidemiology 483
  • Cardiology and Cardiovascular Medicine 229
  • Pediatrics, Perinatology and Child Health 151
  • Pulmonary and Respiratory Medicine 172
  • Surgery 144
Replace Barry G. Baylen with:
Barry G. Baylen United States
Donna A. Goff United States
Hitoshi Yoda Japan
A.A. Fanaroff United States
Jean‐Claude Veille United States
Juan Villafañe United States
Olivier Nardi France
Omid Salehian Canada
Thomas Pennaforte France
Michelle Schmiegelow Denmark
Judith Geva relative to Barry G. Baylen United States Barry G. Baylen's profile →
Citations per field
00.5×10×17×
Barry G. Baylen · 1×
Citations per year

Countries citing papers authored by Judith Geva

Since Specialization
Citations

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

Fields of papers citing papers by Judith Geva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Brain Volume and Metabolism in Fetuses With Congenital Heart Disease
Hit paper breakdown →
2009476
2 2010154
3 2009133
4 2012102
5 201999
6 199814
7 19984
8 19954

About Judith Geva

Judith Geva is a scholar working on Clinical Psychology, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Sociology and Political Science, having authored 8 papers that have together received 986 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (2 papers), Child Abuse and Trauma (1 paper), Organ Donation and Transplantation (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Ion channel regulation and function (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper) and Grief, Bereavement, and Mental Health (1 paper). The work is most often cited by research in Epidemiology (483 citations), Cardiology and Cardiovascular Medicine (229 citations), Pediatrics, Perinatology and Child Health (151 citations), Pulmonary and Respiratory Medicine (172 citations) and Surgery (144 citations). Judith Geva has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Jane W. Newburger, Kimberlee Gauvreau, Richard L. Robertson, Catherine Limperopoulos, David Annese, Bethany Trainor, Ellen McGrath, Carolyn Dunbar‐Masterson, Wayne Tworetzky and Nicolas Guizard. Their work appears in journals such as Circulation, The Journal of Pediatrics, PEDIATRICS, Child and Adolescent Social Work Journal and Health & Social Work.

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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