Sarah A. Pendergrass
- Molecular Biology top 5%
- Genetics top 2%
- Pathology and Forensic Medicine top 2%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology top 10%
- Co-authors
- Marylyn D. RitchieEmily HolzingerDokyoon KimRuowang LiMichael L. WhitfieldDana C. CrawfordScott DudekRobert Lafyatis
- Topics
- Genetic Associations and Epidemiology (39 papers)Bioinformatics and Genomic Networks (20 papers)Gene expression and cancer classification (12 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sarah A. Pendergrass
80 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 1.5k
- Genetics 977
- Pathology and Forensic Medicine 619
- Pulmonary and Respiratory Medicine 336
- Epidemiology 303
Countries citing papers authored by Sarah A. Pendergrass
This map shows the geographic impact of Sarah A. Pendergrass'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 Sarah A. Pendergrass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah A. Pendergrass more than expected).
Fields of papers citing papers by Sarah A. Pendergrass
This network shows the impact of papers produced by Sarah A. Pendergrass. 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 Sarah A. Pendergrass. The network helps show where Sarah A. Pendergrass may publish in the future.
Co-authorship network of co-authors of Sarah A. Pendergrass
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah A. Pendergrass. A scholar is included among the top collaborators of Sarah A. Pendergrass 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 Sarah A. Pendergrass. Sarah A. Pendergrass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Determining Optimal Nutrient Value through Leaf Tissue Analysis on Tomato | 1 |
| 4 | Interpretation of machine learning predictions for patient outcomes in electronic health records | 35 |
| 5 | 104 | |
| 6 | 60 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 26 | |
| 10 | 52 | |
| 11 | 19 | |
| 12 | 120 | |
| 13 | 77 | |
| 14 | 107 | |
| 15 | 41 | |
| 16 | 9 | |
| 17 | 120 | |
| 18 | 32 | |
| 19 | 61 | |
| 20 | 25 |
About Sarah A. Pendergrass
Sarah A. Pendergrass is a scholar working on Genetics, Virology and Molecular Biology, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (39 papers), Bioinformatics and Genomic Networks (20 papers) and Gene expression and cancer classification (12 papers). The work is most often cited by research in Genetics (977 citations), Pathology and Forensic Medicine (619 citations) and Dermatology (196 citations). Sarah A. Pendergrass has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Marylyn D. Ritchie, Emily Holzinger, Dokyoon Kim, Ruowang Li, Michael L. Whitfield, Dana C. Crawford, Scott Dudek, Robert Lafyatis, Ausra Milano and Timothy H. McCalmont. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.