Anna Ritz
Impact in
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- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene Regulatory Network Analysis
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- Cancer Genomics and Diagnostics
Papers in ⓘ
- Aging 2
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- Bioinformatics and Genomic Networks 17
- Gene Regulatory Network Analysis 9
- Genomics and Phylogenetic Studies 6
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 4
- Co-authors
- Benjamin J. Raphael (10 shared papers)Arthur R. Salomon (4 shared papers)T. M. Murali (7 shared papers)Ali Bashir (3 shared papers)Lulu Cao (3 shared papers)Kebing Yu (3 shared papers)Vinh T. Nguyen (2 shared papers)Allison N. Tegge (3 shared papers)
- Journals
- Bioinformatics (6 papers)BMC Bioinformatics (4 papers)Journal of Computational Biology (2 papers)Functional Ecology (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Anna Ritz
35 papers receiving 607 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 414
- Cancer Research 71
- Spectroscopy 68
- Computational Theory and Mathematics 58
- Immunology 77
Countries citing papers authored by Anna Ritz
This map shows the geographic impact of Anna Ritz'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 Anna Ritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ritz more than expected).
Fields of papers citing papers by Anna Ritz
This network shows the impact of papers produced by Anna Ritz. 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 Anna Ritz. The network helps show where Anna Ritz may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Ritz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 67 | |
| 2 | 2007 | 63 | |
| 3 | 2020 | 49 | |
| 4 | 2014 | 42 | |
| 5 | 2016 | 41 | |
| 6 | 2008 | 35 | |
| 7 | 2019 | 34 | |
| 8 | 2014 | 32 | |
| 9 | 2012 | 27 | |
| 10 | 2010 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2012 | 19 | |
| 14 | 2010 | 19 | |
| 15 | 2011 | 17 | |
| 16 | 2006 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2011 | 11 |
About Anna Ritz
Anna Ritz is a scholar working on Aging, Molecular Biology, Cancer Research, Cell Biology and Instrumentation, having authored 41 papers that have together received 623 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene Regulatory Network Analysis (9 papers), Genomics and Phylogenetic Studies (6 papers), Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Machine Learning in Bioinformatics (4 papers), Computational Drug Discovery Methods (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Molecular Biology (414 citations), Cancer Research (71 citations), Spectroscopy (68 citations), Computational Theory and Mathematics (58 citations) and Immunology (77 citations). Anna Ritz has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Benjamin J. Raphael, Arthur R. Salomon, T. M. Murali, Ali Bashir, Lulu Cao, Kebing Yu, Vinh T. Nguyen, Allison N. Tegge, Layla Oesper and Mark Hopkins. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Journal of Computational Biology, Functional Ecology and Molecular & Cellular Proteomics.
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.