Anna Telaar
Impact in
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- Tryptophan and brain disorders
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Metabolomics and Mass Spectrometry Studies 2
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- Imbalanced Data Classification Techniques 1
- Co-authors
- Dirk Repsilber (6 shared papers)Gerhard Walzl (3 shared papers)Stefan H. E. Kaufmann (3 shared papers)Gillian F. Black (3 shared papers)Shreemanta K. Parida (3 shared papers)Robert P. Mohney (2 shared papers)Jeroen Maertzdorf (2 shared papers)Christian A. Ganoza (2 shared papers)
- Journals
- PLoS ONE (3 papers)Biometrical Journal (1 paper)Annals of the Rheumatic Diseases (1 paper)BMC Bioinformatics (1 paper)Computational Statistics (1 paper)
- Partner nations
- GermanySouth AfricaUnited States
In The Last Decade
Anna Telaar
8 papers receiving 312 citations
Peers
Comparison fields: 5 of 66
- Biological Psychiatry 17
- Infectious Diseases 114
- Epidemiology 75
- Molecular Biology 162
- Immunology 31
Countries citing papers authored by Anna Telaar
This map shows the geographic impact of Anna Telaar'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 Telaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Telaar more than expected).
Fields of papers citing papers by Anna Telaar
This network shows the impact of papers produced by Anna Telaar. 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 Telaar. The network helps show where Anna Telaar may publish in the future.
Co-authors
The 23 scholars most cited alongside Anna Telaar, 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 | 2012 | 179 | |
| 2 | 2010 | 77 | |
| 3 | 2012 | 33 | |
| 4 | 2010 | 13 | |
| 5 | 2013 | 6 | |
| 6 | 2017 | 2 | |
| 7 | 2012 | 2 | |
| 8 | 2015 | 1 |
About Anna Telaar
Anna Telaar is a scholar working on Molecular Biology, Artificial Intelligence, Rheumatology, Infectious Diseases and Biological Psychiatry, having authored 8 papers that have together received 313 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Systemic Lupus Erythematosus Research (2 papers), Imbalanced Data Classification Techniques (1 paper), Tuberculosis Research and Epidemiology (1 paper), Traditional Chinese Medicine Studies (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Biological Psychiatry (17 citations), Infectious Diseases (114 citations), Epidemiology (75 citations), Molecular Biology (162 citations) and Immunology (31 citations). Anna Telaar has collaborated with scholars based in Germany, South Africa and United States. Frequent co-authors include Dirk Repsilber, Gerhard Walzl, Stefan H. E. Kaufmann, Gillian F. Black, Shreemanta K. Parida, Robert P. Mohney, Jeroen Maertzdorf, Christian A. Ganoza, January Weiner and Kellen C. Faé. Their work appears in journals such as PLoS ONE, Biometrical Journal, Annals of the Rheumatic Diseases, BMC Bioinformatics and Computational Statistics.
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.