Cathy Riemer
- Genetics top 1%
- Genomics and Rare Diseases 6
- Hemoglobinopathies and Related Disorders 6
- Hematology top 2%
- Iron Metabolism and Disorders 6
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 12
- Machine Learning in Bioinformatics 2
- Genetics top 2%
- Genomics and Rare Diseases 6
- Hemoglobinopathies and Related Disorders 6
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- Chromosomal and Genetic Variations 5
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Webb MillerRoss C. HardisonLaura ElnitskiBelinda GiardineArian F. A. SmitRichard BurhansScott SchwartzW. James Kent
- Cited by
- GeneticsHematologyMolecular Biology
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Cathy Riemer
24 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Genetics 811
- Hematology 615
- Molecular Biology 3.0k
- Genetics 1.1k
- Information Systems and Management 197
Countries citing papers authored by Cathy Riemer
This map shows the geographic impact of Cathy Riemer'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 Cathy Riemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Riemer more than expected).
Fields of papers citing papers by Cathy Riemer
This network shows the impact of papers produced by Cathy Riemer. 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 Cathy Riemer. The network helps show where Cathy Riemer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cathy Riemer, 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 | 2013 | 326 | |
| 2 | 2012 | 7 | |
| 3 | 2011 | 12 | |
| 4 | 2011 | 11 | |
| 5 | 2007 | 163 | |
| 6 | 2006 | 4 | |
| 7 | Galaxy: A platform for interactive large-scale genome analysisbreakdown → | 2005 | 1541 |
| 8 | Aligning Multiple Genomic Sequences With the Threaded Blockset Alignerbreakdown → | 2004 | 1045 |
| 9 | 2003 | 7 | |
| 10 | 2003 | 37 | |
| 11 | 2003 | 15 | |
| 12 | 2002 | 32 | |
| 13 | 2002 | 334 | |
| 14 | 2001 | 31 | |
| 15 | PipMaker—A Web Server for Aligning Two Genomic DNA Sequencesbreakdown → | 2000 | 969 |
| 16 | 2000 | 5 | |
| 17 | 1998 | 34 | |
| 18 | 1998 | 14 | |
| 19 | 1998 | 25 | |
| 20 | [Comparison of the effectiveness of neuroleptics and chlormethiazol in the treatment of alcoholic delirium (author's transl)]. | 1977 | 12 |
About Cathy Riemer
Cathy Riemer is a scholar working on Genetics, Hematology and Genetics, having authored 25 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (12 papers), Genomics and Rare Diseases (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Iron Metabolism and Disorders (6 papers), Chromosomal and Genetic Variations (5 papers), Machine Learning in Bioinformatics (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Genetics (811 citations), Hematology (615 citations) and Molecular Biology (3.0k citations). Cathy Riemer has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Webb Miller, Ross C. Hardison, Laura Elnitski, Belinda Giardine, Arian F. A. Smit, Richard Burhans, Scott Schwartz, W. James Kent, Anton Nekrutenko and James Taylor. Their work appears in journals such as Nucleic Acids Research, Blood and Genome Research.
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.