David S. Cram

7.1k citations
136 papers · 4.8k indexed · h-index 40

Impact in

Papers in

    • Prenatal Screening and Diagnostics 57
    • Fetal and Pediatric Neurological Disorders 17
    • Genomic variations and chromosomal abnormalities 36
    • Diabetes and associated disorders 11
    • Bacterial Genetics and Biotechnology 8

David S. Cram

135 papers receiving 4.6k citations

Peers

David S. Cram
Comparison fields: 5 of 135
  • Pediatrics, Perinatology and Child Health 1.8k
  • Genetics 2.1k
  • Reproductive Medicine 422
  • Molecular Medicine 149
  • Endocrinology, Diabetes and Metabolism 423
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Brynn Levy United States
Torsten Wahlström Finland
Shingo Fujii Japan
Hongmei Wang China
Daniel I. H. Linzer United States
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Christine J. Watson United Kingdom
Andrea Riccio Italy
Joep Geraedts Netherlands
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Citations per field
00.5×10×15×20×24.8×
Brynn Levy · 1×
Citations per year

Countries citing papers authored by David S. Cram

Since Specialization
Citations

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

Fields of papers citing papers by David S. Cram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Cram. 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 David S. Cram. The network helps show where David S. Cram may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202122
3 20204
4 2019167
5 201727
6 20165
7 201644
8 201514
9 20156
10 201437
11 2014105
12 20094
13 2008106
14 20066
15 200557
16 199714
17 199518
18 199277
19 198925
20 19866

About David S. Cram

David S. Cram is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Reproductive Medicine, Cancer Research and Transplantation, having authored 136 papers that have together received 4.8k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (57 papers), Genomic variations and chromosomal abnormalities (36 papers), Fetal and Pediatric Neurological Disorders (17 papers), Pancreatic function and diabetes (14 papers), Cancer Genomics and Diagnostics (13 papers), Diabetes and associated disorders (11 papers), Parvovirus B19 Infection Studies (10 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.8k citations), Genetics (2.1k citations), Reproductive Medicine (422 citations), Molecular Medicine (149 citations) and Endocrinology, Diabetes and Metabolism (423 citations). David S. Cram has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Leonard C. Harrison, Henry J. DeAizpurua, Alan Trounson, Ronald A. Skurray, Margo C. Honeyman, Jianguang Zhang, Tim Littlejohn, Duncan A. Rouch, Mengnan Xu and Zhuo Song. Their work appears in journals such as Prenatal Diagnosis, Clinica Chimica Acta, Reproductive BioMedicine Online, Human Reproduction and Diabetes.

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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