Eva Sujansky
- Molecular Biology top 10%
- Genetics top 2%
- Surgery top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Ann C. M. SmithVincent M. RiccardiUta FranckeLorraine DugoffPatricia A. GabowDavid E. GoldgarWilliam J. KimberlingJudith B. Kenyon
- Topics
- Genomic variations and chromosomal abnormalities (10 papers)Prenatal Screening and Diagnostics (7 papers)Chromosomal and Genetic Variations (5 papers)
- Partner nations
- United StatesAustriaNetherlands
In The Last Decade
Eva Sujansky
30 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 969
- Genetics 781
- Surgery 447
- Pediatrics, Perinatology and Child Health 342
- Pathology and Forensic Medicine 269
Countries citing papers authored by Eva Sujansky
This map shows the geographic impact of Eva Sujansky'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 Eva Sujansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Sujansky more than expected).
Fields of papers citing papers by Eva Sujansky
This network shows the impact of papers produced by Eva Sujansky. 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 Eva Sujansky. The network helps show where Eva Sujansky may publish in the future.
Co-authorship network of co-authors of Eva Sujansky
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Sujansky. A scholar is included among the top collaborators of Eva Sujansky 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 Eva Sujansky. Eva Sujansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 174 | |
| 2 | 2 | |
| 3 | 36 | |
| 4 | 113 | |
| 5 | 149 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 44 | |
| 11 | 4 | |
| 12 | 32 | |
| 13 | 50 | |
| 14 | 162 | |
| 15 | 97 | |
| 16 | 16 | |
| 17 | Heterogeneity in the trichorhinophalangeal syndromes. | 1 |
| 18 | The familial occurrence of Poland syndrome. | 18 |
| 19 | 9 | |
| 20 | 16 |
About Eva Sujansky
Eva Sujansky is a scholar working on Anatomy, Genetics and Developmental Biology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Prenatal Screening and Diagnostics (7 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Genetics (781 citations), Developmental Biology (44 citations) and Pediatrics, Perinatology and Child Health (342 citations). Eva Sujansky has collaborated with scholars based in United States, Austria and Netherlands. Frequent co-authors include Ann C. M. Smith, Vincent M. Riccardi, Uta Francke, Lorraine Dugoff, Patricia A. Gabow, David E. Goldgar, William J. Kimberling, Judith B. Kenyon, Pamela R. Fain and Jerry N. Thompson. Their work appears in journals such as New England Journal of Medicine, Circulation and Neurology.
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.