Nicole Fleischer

1.6k total citations · 1 hit paper
18 papers, 545 citations indexed

About

Nicole Fleischer is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Nicole Fleischer has authored 18 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Physiology. Recurrent topics in Nicole Fleischer's work include Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers) and Lysosomal Storage Disorders Research (3 papers). Nicole Fleischer is often cited by papers focused on Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers) and Lysosomal Storage Disorders Research (3 papers). Nicole Fleischer collaborates with scholars based in United States, Italy and Germany. Nicole Fleischer's co-authors include Yaron Gurovich, Yair Hanani, Peter Krawitz, Lynne M. Bird, Guy Nadav, Martin Zenker, Lina Basel‐Salmon, Karen W. Gripp, Omri Bar and Susanne B. Kamphausen and has published in prestigious journals such as Nature Medicine, Human Mutation and Transactions of the Royal Society of Tropical Medicine and Hygiene.

In The Last Decade

Nicole Fleischer

16 papers receiving 525 citations

Hit Papers

Identifying facial phenotypes of genetic disorders using ... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicole Fleischer United States 9 213 172 92 57 56 18 545
Yaron Gurovich Germany 3 155 0.7× 118 0.7× 84 0.9× 54 0.9× 51 0.9× 3 440
Lina Basel‐Salmon Israel 11 285 1.3× 212 1.2× 80 0.9× 52 0.9× 52 0.9× 35 683
Yair Hanani Israel 5 154 0.7× 119 0.7× 131 1.4× 81 1.4× 52 0.9× 7 514
Omri Bar United States 8 172 0.8× 154 0.9× 95 1.0× 62 1.1× 81 1.4× 16 653
Guy Nadav Israel 6 151 0.7× 117 0.7× 88 1.0× 57 1.0× 132 2.4× 9 521
T. Beck United States 9 139 0.7× 221 1.3× 85 0.9× 7 0.1× 46 0.8× 12 566
Felipe Giuste United States 11 44 0.2× 225 1.3× 94 1.0× 13 0.2× 82 1.5× 36 519
Charis Drummer Germany 13 90 0.4× 238 1.4× 47 0.5× 31 0.5× 41 0.7× 28 510
Michael Tran Duong United States 12 34 0.2× 228 1.3× 67 0.7× 56 1.0× 201 3.6× 25 769
Angela Zhang United States 5 34 0.2× 113 0.7× 94 1.0× 16 0.3× 56 1.0× 8 503

Countries citing papers authored by Nicole Fleischer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nicole Fleischer

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Fleischer. A scholar is included among the top collaborators of Nicole Fleischer 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 Nicole Fleischer. Nicole Fleischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Abdul‐Rahman, Omar, Giulia Pascolini, Giovanni Di Zenzo, et al.. (2025). Artificial Intelligence Software Changes Rare Disease Testing Strategy in Real Time: An International Case Series Using Face2Gene. American Journal of Medical Genetics Part A. 197(11). e64171–e64171.
2.
Hirsch, Yoel, Hanna Mandel, Tova Hershkovitz, et al.. (2022). Vici syndrome in Israel: Clinical and molecular insights. Frontiers in Genetics. 13. 991721–991721.
3.
Schmid, Alexander, Ashar Ahmad, Alexej Knaus, et al.. (2021). CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph. NAR Genomics and Bioinformatics. 3(3). lqab078–lqab078. 15 indexed citations
4.
Mak, Bryan C., Rossana Sanchez Russo, Michael J. Gambello, et al.. (2021). Craniofacial features of 3q29 deletion syndrome: Application of next‐generation phenotyping technology. American Journal of Medical Genetics Part A. 185(7). 2094–2101. 9 indexed citations
5.
Schneider, Holm, et al.. (2021). No evidence for preferential X-chromosome inactivation as the main cause of divergent phenotypes in sisters with X-linked hypohidrotic ectodermal dysplasia. Orphanet Journal of Rare Diseases. 16(1). 98–98. 8 indexed citations
6.
Fleischer, Nicole, et al.. (2021). Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3. Molecular Genetics and Metabolism. 134(3). 274–280. 4 indexed citations
7.
Pode‐Shakked, Ben, et al.. (2020). Shared facial phenotype of patients with mucolipidosis type IV: A clinical observation reaffirmed by next generation phenotyping. European Journal of Medical Genetics. 63(7). 103927–103927. 9 indexed citations
8.
Pascolini, Giulia, Emanuele Agolini, Nicole Fleischer, et al.. (2020). Further delineation of the neurodevelopmental phenotypic spectrum associated to 14q11.2 microduplication. Neurological Sciences. 41(12). 3751–3753. 2 indexed citations
9.
Pascolini, Giulia, Emanuele Agolini, Nicole Fleischer, et al.. (2020). A novel patient with White–Sutton syndrome refines the mutational and clinical repertoire of the POGZ‐related phenotype and suggests further observations. American Journal of Medical Genetics Part A. 182(7). 1791–1795. 10 indexed citations
10.
Bird, Lynne M., et al.. (2020). Differentiating molecular etiologies of Angelman syndrome through facial phenotyping using deep learning. American Journal of Medical Genetics Part A. 182(9). 2021–2026. 5 indexed citations
12.
Pascolini, Giulia, Nicole Fleischer, Alessandro Ferraris, Silvia Majore, & Paola Grammatico. (2019). The facial dysmorphology analysis technology in intellectual disability syndromes related to defects in the histones modifiers. Journal of Human Genetics. 64(8). 721–728. 8 indexed citations
13.
Pascolini, Giulia, Irene Bottillo, Luigi Laino, et al.. (2019). Striking phenotypic overlap between Nicolaides-Baraitser and Coffin-Siris syndromes in monozygotic twins with ARID1B intragenic deletion. European Journal of Medical Genetics. 63(3). 103739–103739. 5 indexed citations
14.
Carli, Diana, Elisa Giorgio, Francesca Pantaleoni, et al.. (2019). NBAS pathogenic variants: Defining the associated clinical and facial phenotype and genotype–phenotype correlations. Human Mutation. 40(6). 721–728. 15 indexed citations
15.
Gurovich, Yaron, Yair Hanani, Omri Bar, et al.. (2018). Identifying facial phenotypes of genetic disorders using deep learning. Nature Medicine. 25(1). 60–64. 411 indexed citations breakdown →
16.
Pantel, Jean Tori, Martin A. Mensah, Tzung‐Chien Hsieh, et al.. (2018). Advances in computer‐assisted syndrome recognition by the example of inborn errors of metabolism. Journal of Inherited Metabolic Disease. 41(3). 533–539. 27 indexed citations
17.
Fleischer, Nicole, et al.. (1978). [Lambliasis. Pathogenicity, clinical picture, diagnosis and therapy].. PubMed. 73(12). 415–21. 1 indexed citations
18.
Fleischer, Nicole. (1975). A study of traditional practices and early childhood anaemia in Northern Nigeria. Transactions of the Royal Society of Tropical Medicine and Hygiene. 69(2). 198–200. 7 indexed citations

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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