Szabolcs Szelinger
- Molecular Biology
- Genetics top 5%
- Artificial Intelligence top 5%
- Public Health, Environmental and Occupational Health top 10%
- Cancer Research
- Co-authors
- David W. CraigJohn V. PearsonNils HomerDietrich A. StephanWaibhav TembeJill MuehlingStanley F. NelsonDavid Duggan
- Topics
- Genetics and Neurodevelopmental Disorders (8 papers)Genomics and Rare Diseases (7 papers)Genomic variations and chromosomal abnormalities (4 papers)
- Journals
- BioinformaticsPLoS ONENature Methods
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Szabolcs Szelinger
22 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 499
- Genetics 490
- Artificial Intelligence 373
- Public Health, Environmental and Occupational Health 265
- Cancer Research 156
Countries citing papers authored by Szabolcs Szelinger
This map shows the geographic impact of Szabolcs Szelinger'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 Szabolcs Szelinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szabolcs Szelinger more than expected).
Fields of papers citing papers by Szabolcs Szelinger
This network shows the impact of papers produced by Szabolcs Szelinger. 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 Szabolcs Szelinger. The network helps show where Szabolcs Szelinger may publish in the future.
Co-authorship network of co-authors of Szabolcs Szelinger
This figure shows the co-authorship network connecting the top 25 collaborators of Szabolcs Szelinger. A scholar is included among the top collaborators of Szabolcs Szelinger 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 Szabolcs Szelinger. Szabolcs Szelinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 15 | |
| 11 | 35 | |
| 12 | 16 | |
| 13 | 62 | |
| 14 | 15 | |
| 15 | 19 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | 238 | |
| 20 | Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarraysbreakdown → | 757 |
About Szabolcs Szelinger
Szabolcs Szelinger is a scholar working on Genetics, Developmental Neuroscience and Molecular Biology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Rare Diseases (7 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Genetics (490 citations), Health Informatics (18 citations) and Artificial Intelligence (373 citations). Szabolcs Szelinger has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include David W. Craig, John V. Pearson, Nils Homer, Dietrich A. Stephan, Waibhav Tembe, Jill Muehling, Stanley F. Nelson, David Duggan, Matthew J. Huentelman and Jason J. Corneveaux. Their work appears in journals such as Bioinformatics, PLoS ONE and Nature Methods.
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.