Grace Schwartz
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Retinal Development and Disorders
Papers in
-
- Sexual Differentiation and Disorders 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 1
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Genomics and Rare Diseases 1
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Stephan Sanders (4 shared papers)Kyle Kai‐How Farh (2 shared papers)Siavash Fazel Darbandi (2 shared papers)Juan David Arbelaez (1 shared paper)Sofia Kyriazopoulou Panagiotopoulou (1 shared paper)Yang Li (1 shared paper)Hong Gao (1 shared paper)Wenwu Cui (1 shared paper)
- Journals
- Stem Cell Research (2 papers)Biological Psychiatry (1 paper)Genome Medicine (1 paper)The American Journal of Surgery (1 paper)Cell (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Grace Schwartz
6 papers receiving 1.4k citations
Grace Schwartz's Hit Papers
Peers
Comparison fields: 5 of 92
- Genetics 452
- Molecular Biology 763
- Health Informatics 12
- Cancer Research 99
- Genetics 60
Countries citing papers authored by Grace Schwartz
This map shows the geographic impact of Grace Schwartz'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 Grace Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Schwartz more than expected).
Fields of papers citing papers by Grace Schwartz
This network shows the impact of papers produced by Grace Schwartz. 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 Grace Schwartz. The network helps show where Grace Schwartz may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Schwartz, 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 | Predicting Splicing from Primary Sequence with Deep Learning Hit paper breakdown → | 2019 | 1347 |
| 2 | 2021 | 18 | |
| 3 | 2020 | 18 | |
| 4 | 2021 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2023 | 0 |
About Grace Schwartz
Grace Schwartz is a scholar working on Molecular Biology, Genetics, Surgery, Social Psychology and Cell Biology, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Sexual Differentiation and Disorders (2 papers), RNA modifications and cancer (2 papers), Zebrafish Biomedical Research Applications (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Rare Diseases (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Congenital Diaphragmatic Hernia Studies (1 paper). The work is most often cited by research in Genetics (452 citations), Molecular Biology (763 citations), Health Informatics (12 citations), Cancer Research (99 citations) and Genetics (60 citations). Grace Schwartz has collaborated with scholars based in United States and Singapore. Frequent co-authors include Stephan Sanders, Kyle Kai‐How Farh, Siavash Fazel Darbandi, Juan David Arbelaez, Sofia Kyriazopoulou Panagiotopoulou, Yang Li, Hong Gao, Wenwu Cui, Jeremy F. McRae and Kishore Jaganathan. Their work appears in journals such as Stem Cell Research, Biological Psychiatry, Genome Medicine, The American Journal of Surgery and Cell.
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.