I E Cross

960 citations
8 papers · 728 · h-index 8

Impact in

  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders
    • Congenital Ear and Nasal Anomalies
    • Congenital heart defects research

Papers in

    • Congenital heart defects research 7
    • Chromatin Remodeling and Cancer 1
    • Protein Tyrosine Phosphatases 1
    • Congenital Heart Disease Studies 4

I E Cross

8 papers receiving 702 citations

Peers

I E Cross
Comparison fields: 5 of 51
  • Genetics 304
  • Molecular Biology 591
  • Epidemiology 297
  • Pulmonary and Respiratory Medicine 269
  • Genetics 56
Replace Milton D. Berkman with:
Milton D. Berkman United States
Makoto Nishibatake Japan
Christine E. Seidman United States
Carole Brewer United Kingdom
Tracy Brandt United States
F Serville France
Reema L. Habiby United States
Jan-Maarten Cobben Netherlands
Anna L. Mitchell United States
Gemma Poke New Zealand
I E Cross relative to Milton D. Berkman United States Milton D. Berkman's profile →
Citations per field
00.5×1.5×1.8×
Milton D. Berkman · 1×
Citations per year

Countries citing papers authored by I E Cross

Since Specialization
Citations

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

Fields of papers citing papers by I E Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside I E Cross, 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 I E Cross Line = papers co-authored together I E Cross links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1992333
2 1992120
3 199174
4
A prospective cytogenetic study of 36 cases of DiGeorge syndrome.
199268
5
Minimum prevalence of chromosome 22q11 deletions.
199464
6 199328
7 199825
8 199716

About I E Cross

I E Cross is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Neurology, having authored 8 papers that have together received 728 indexed citations. Recurring topics across this work include Congenital heart defects research (7 papers), Congenital Heart Disease Studies (4 papers), Tracheal and airway disorders (2 papers), Cancer-related molecular mechanisms research (1 paper), Chromatin Remodeling and Cancer (1 paper), Protein Tyrosine Phosphatases (1 paper), Coronary Artery Anomalies (1 paper) and Neurofibromatosis and Schwannoma Cases (1 paper). The work is most often cited by research in Genetics (304 citations), Molecular Biology (591 citations), Epidemiology (297 citations), Pulmonary and Respiratory Medicine (269 citations) and Genetics (56 citations). I E Cross has collaborated with scholars based in United Kingdom. Frequent co-authors include David I. Wilson, John Burn, Peter Scambler, Judith A. Goodship, David A. Kelly, R. Williamson, Elizabeth Lindsay, Rosalie Goldberg, Robert J. Shprintzen and H H Bain. Their work appears in journals such as The Lancet, Archives of Disease in Childhood, The American Journal of Human Genetics, Human Genetics and Prenatal Diagnosis.

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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