Christine E. Seidman

2.7k citations
10 papers · 1.6k indexed · 1 hit paper · h-index 8
Topics
Cardiomyopathy and Myosin Studies (3 papers)Vascular Anomalies and Treatments (2 papers)Congenital Heart Disease Studies (2 papers)

In The Last Decade

Christine E. Seidman

10 papers receiving 1.6k citations

Hit Papers

A Murine Model of Holt-Oram Syndrome Defines Roles of the...20012026200920172001250500750

Peers

Christine E. Seidman
Comparison fields: 5 of 86
  • Molecular Biology 1.0k
  • Cardiology and Cardiovascular Medicine 354
  • Pulmonary and Respiratory Medicine 265
  • Genetics 244
  • Epidemiology 244
Replace Mayada Tassabehji with:
Mayada Tassabehji United Kingdom
Desirée du Sart Australia
Henny H. Lemmink Netherlands
Keiko Wakui Japan
Félix Prieto Spain
Tatiana A. Yatskievych United States
Mary Redmond Hutson United States
Zehra Oya Uyguner Türkiye
Liesbeth van Iperen Netherlands
Francesca Vitelli Italy
Christine E. Seidman relative to Mayada Tassabehji United Kingdom Mayada Tassabehji's profile →
Citations per field
00.5×5.0×
Mayada Tassabehji · 1×
Citations per year

Countries citing papers authored by Christine E. Seidman

Since Specialization
Citations

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

Fields of papers citing papers by Christine E. Seidman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine E. Seidman. 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 Christine E. Seidman. The network helps show where Christine E. Seidman may publish in the future.

Co-authorship network of co-authors of Christine E. Seidman

This figure shows the co-authorship network connecting the top 25 collaborators of Christine E. Seidman. A scholar is included among the top collaborators of Christine E. Seidman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine E. Seidman. Christine E. Seidman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 59
3 1
4
A Murine Model of Holt-Oram Syndrome Defines Roles of the T-Box Transcription Factor Tbx5 in Cardiogenesis and Diseasebreakdown →
807
5 91
6 47
7 268
8 137
9 153
10 56

About Christine E. Seidman

Christine E. Seidman is a scholar working on Genetics, Otorhinolaryngology and Sensory Systems, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (3 papers), Vascular Anomalies and Treatments (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Sensory Systems (226 citations), Genetics (244 citations) and Neurology (140 citations). Christine E. Seidman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan G. Seidman, Mona Nemer, Lynda Robitaille, Sophie Jeanne Cécile Caron, David A. Conner, Manfred Gessler, Benoit G. Bruneau, Georges Nemer, Joachim P. Schmitt and Frédéric Charron. Their work appears in journals such as Cell, Journal of Clinical Investigation and Nature Genetics.

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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