Anna Bauer‐Mehren
- Toxicology top 0.5%
- Pharmacovigilance and Adverse Drug Reactions 7
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- Computational Drug Discovery Methods 8
- Gastroenterology top 5%
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 10
- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 5
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- Antiplatelet Therapy and Cardiovascular Diseases 3
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- Statistical Methods and Inference 3
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Ferrán SanzLaura I. FurlongPaea LePenduNigam H. ShahJanet PiñeroMartín BaronÁlex BravoNúria Queralt-Rosiñach
- Journals
- Circulation (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Anna Bauer‐Mehren
31 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Toxicology 343
- Computational Theory and Mathematics 465
- Gastroenterology 145
- Molecular Biology 1.2k
- Health Information Management 74
Countries citing papers authored by Anna Bauer‐Mehren
This map shows the geographic impact of Anna Bauer‐Mehren'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 Bauer‐Mehren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Bauer‐Mehren more than expected).
Fields of papers citing papers by Anna Bauer‐Mehren
This network shows the impact of papers produced by Anna Bauer‐Mehren. 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 Bauer‐Mehren. The network helps show where Anna Bauer‐Mehren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Bauer‐Mehren, 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 | 2023 | 1 | |
| 2 | 2021 | 14 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 18 | |
| 5 | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genesbreakdown → | 2015 | 785 |
| 6 | 2015 | 240 | |
| 7 | 2013 | 30 | |
| 8 | 2013 | 124 | |
| 9 | 2013 | 60 | |
| 10 | 2013 | 125 | |
| 11 | 2013 | 17 | |
| 12 | 2013 | 240 | |
| 13 | Abstract 15727: Analyzing Unstructured Clinical Notes for Phase IV Drug Safety Surveillance | 2012 | 1 |
| 14 | 2012 | 28 | |
| 15 | 2012 | 33 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 135 | |
| 18 | 2010 | 60 | |
| 19 | 2009 | 20 | |
| 20 | 2009 | 9 |
About Anna Bauer‐Mehren
Anna Bauer‐Mehren is a scholar working on Toxicology, Computational Theory and Mathematics and Statistics and Probability, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers), Gene expression and cancer classification (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Statistical Methods and Inference (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Toxicology (343 citations), Computational Theory and Mathematics (465 citations) and Gastroenterology (145 citations). Anna Bauer‐Mehren has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Ferrán Sanz, Laura I. Furlong, Paea LePendu, Nigam H. Shah, Janet Piñero, Martín Baron, Álex Bravo, Núria Queralt-Rosiñach, Jordi Deu-Pons and Srinivasan Iyer. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Bioinformatics.
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.