Nicole Fleischer
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
Papers in
-
- dental development and anomalies 2
- RNA regulation and disease 2
- Congenital heart defects research 2
- Genetics 10
- Genomic variations and chromosomal abnormalities 5
- Genomics and Rare Diseases 4
- Co-authors
- Yaron Gurovich (2 shared papers)Peter Krawitz (3 shared papers)Yair Hanani (2 shared papers)Lynne M. Bird (3 shared papers)Guy Nadav (2 shared papers)Karen W. Gripp (1 shared paper)Omri Bar (1 shared paper)Lina Basel‐Salmon (1 shared paper)
- Journals
- European Journal of Medical Genetics (2 papers)Human Mutation (1 paper)Nature Medicine (1 paper)Orphanet Journal of Rare Diseases (1 paper)Journal of Inherited Metabolic Disease (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Nicole Fleischer
16 papers receiving 525 citations
Nicole Fleischer's Hit Papers
Peers
Comparison fields: 5 of 109
- Health Informatics 44
- Genetics 213
- Anatomy 6
- Artificial Intelligence 92
- Health Information Management 13
Countries citing papers authored by Nicole Fleischer
This map shows the geographic impact of Nicole Fleischer'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 Nicole Fleischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole Fleischer more than expected).
Fields of papers citing papers by Nicole Fleischer
This network shows the impact of papers produced by Nicole Fleischer. 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 Nicole Fleischer. The network helps show where Nicole Fleischer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicole Fleischer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identifying facial phenotypes of genetic disorders using deep learning Hit paper breakdown → | 2018 | 411 |
| 2 | 2018 | 27 | |
| 3 | 2021 | 15 | |
| 4 | 2019 | 15 | |
| 5 | 2020 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 1975 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 2 | |
| 16 | [Lambliasis. Pathogenicity, clinical picture, diagnosis and therapy]. | 1978 | 1 |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 |
About Nicole Fleischer
Nicole Fleischer is a scholar working on Molecular Biology, Genetics, Physiology, Cognitive Neuroscience and Epidemiology, having authored 18 papers that have together received 545 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers), Lysosomal Storage Disorders Research (3 papers), Autism Spectrum Disorder Research (2 papers), dental development and anomalies (2 papers), RNA regulation and disease (2 papers), Congenital heart defects research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Health Informatics (44 citations), Genetics (213 citations), Anatomy (6 citations), Artificial Intelligence (92 citations) and Health Information Management (13 citations). Nicole Fleischer has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Yaron Gurovich, Peter Krawitz, Yair Hanani, Lynne M. Bird, Guy Nadav, Karen W. Gripp, Omri Bar, Lina Basel‐Salmon, Martin Zenker and Susanne B. Kamphausen. Their work appears in journals such as European Journal of Medical Genetics, Human Mutation, Nature Medicine, Orphanet Journal of Rare Diseases and Journal of Inherited Metabolic Disease.
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.