E H Zackai
- Molecular Biology
- Genetics top 10%
- Rheumatology top 10%
- Cell Biology
- Epidemiology
- Co-authors
- Donna M. McDonald‐McGinnB S EmanuelSulagna C. SaittaMichael A. SimpsonRay C. J. HsuLinda M. ErnstL.I. Al-GazaliLindsay Keir
- Topics
- Genomic variations and chromosomal abnormalities (5 papers)Connective tissue disorders research (3 papers)Genomics and Rare Diseases (2 papers)
- Cited by
- GeneticsRheumatologyNephrology
- Journals
- Journal of Bone and Joint SurgeryThe American Journal of Human GeneticsJournal of Medical Genetics
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
E H Zackai
12 papers receiving 428 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 258
- Genetics 213
- Rheumatology 87
- Cell Biology 66
- Epidemiology 44
Countries citing papers authored by E H Zackai
This map shows the geographic impact of E H Zackai'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 E H Zackai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E H Zackai more than expected).
Fields of papers citing papers by E H Zackai
This network shows the impact of papers produced by E H Zackai. 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 E H Zackai. The network helps show where E H Zackai may publish in the future.
Co-authorship network of co-authors of E H Zackai
This figure shows the co-authorship network connecting the top 25 collaborators of E H Zackai. A scholar is included among the top collaborators of E H Zackai 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 E H Zackai. E H Zackai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 63 | |
| 3 | 161 | |
| 4 | Molecular characterization of Pfeiffer syndrome: Implications for prognosis and genetic counseling. | 1 |
| 5 | The 22q11.2 deletion syndrome. | 86 |
| 6 | Genes in craniosynostosis | 1 |
| 7 | Classical Wolf-Hirschhorn Syndrome confirmed molecularly despite normal results using commercially available probes: Redefinition of critical region | 2 |
| 8 | Constitutional Ip36 deletion in a child with neuroblastoma | 3 |
| 9 | 33 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | 1 |
About E H Zackai
E H Zackai is a scholar working on Genetics, Rheumatology and Clinical Biochemistry, having authored 12 papers that have together received 434 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Connective tissue disorders research (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Genetics (213 citations), Rheumatology (87 citations) and Nephrology (36 citations). E H Zackai has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Donna M. McDonald‐McGinn, B S Emanuel, Sulagna C. Saitta, Michael A. Simpson, Ray C. J. Hsu, Linda M. Ernst, L.I. Al-Gazali, Lindsay Keir, Trine Prescott and Georg Hülskamp. Their work appears in journals such as Journal of Bone and Joint Surgery, The American Journal of Human Genetics and Journal of Medical 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.