Marc Sylva

746 citations
13 papers · 553 · h-index 9

Impact in

Papers in

Marc Sylva

12 papers receiving 538 citations

Peers

Marc Sylva
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 136
  • Molecular Biology 321
  • Cancer Research 39
  • Epidemiology 79
  • Transplantation 6
Replace Michael J. Bates with:
Michael J. Bates United States
Raimo Pöllänen Finland
Mohamed Abdalla Sabry Egypt
Juan Carlos Ruiz‐Cabezas Ecuador
Victoria L. Arthur United States
Romulo Hurtado United States
Marlene Magalhaes-Pinto United Kingdom
Katia Margiotti Italy
Chiara Calabrese Italy
Olga I. Tsukurov United States
Marc Sylva relative to Michael J. Bates United States Michael J. Bates's profile →
Citations per field
00.5×2×3×3.8×
Michael J. Bates · 1×
Citations per year

Countries citing papers authored by Marc Sylva

Since Specialization
Citations

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

Fields of papers citing papers by Marc Sylva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013173
2 201186
3 201373
4 201355
5 200642
6 201338
7 200632
8 201728
9 201915
10 20196
11 20232
12 20232
13 20251

About Marc Sylva

Marc Sylva is a scholar working on Rheumatology, Cell Biology, Molecular Biology, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 553 indexed citations. Recurring topics across this work include Congenital heart defects research (3 papers), Bone and Dental Protein Studies (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Heart rate and cardiovascular health (1 paper), Cancer Genomics and Diagnostics (1 paper), Poisoning and overdose treatments (1 paper), Genomics and Phylogenetic Studies (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (136 citations), Molecular Biology (321 citations), Cancer Research (39 citations), Epidemiology (79 citations) and Transplantation (6 citations). Marc Sylva has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Maurice J.B. van den Hoff, Antoon F.M. Moorman, Antoon F. M. Moorman, Quinn D. Gunst, Ruben Coronel, Bastiaan J. Boukens, Antoon F.M. Moorman, Jan J. Weening, Connie R. Bezzina and Kasper M. A. Rouschop. Their work appears in journals such as PEDIATRICS, Birth Defects Research Part C Embryo Today Reviews, Kidney International, Journal of Medical Genetics and JACC. Clinical electrophysiology.

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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