Anna Goldenberg
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 11
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Bo Wang (9 shared papers)Benjamin Haibe‐Kains (15 shared papers)Aziz M. Mezlini (5 shared papers)Michael Brudno (7 shared papers)Marc Fiume (1 shared paper)Zhuowen Tu (1 shared paper)Ladislav Rampášek (4 shared papers)Petr Smirnov (12 shared papers)
- Journals
- Bioinformatics (5 papers)F1000Research (4 papers)The Journal of Trauma: Injury, Infection, and Critical Care (3 papers)npj Digital Medicine (3 papers)Advances in experimental medicine and biology (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Anna Goldenberg
128 papers receiving 6.6k citations
Anna Goldenberg's Hit Papers
Peers
Comparison fields: 5 of 202
- Health Informatics 593
- Health Information Management 249
- Cancer Research 610
- Statistical and Nonlinear Physics 496
- Molecular Biology 2.3k
Countries citing papers authored by Anna Goldenberg
This map shows the geographic impact of Anna Goldenberg'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 Goldenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Goldenberg more than expected).
Fields of papers citing papers by Anna Goldenberg
This network shows the impact of papers produced by Anna Goldenberg. 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 Goldenberg. The network helps show where Anna Goldenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Goldenberg, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Similarity network fusion for aggregating data types on a genomic scale Hit paper breakdown → | 2014 | 1415 |
| 2 | Do no harm: a roadmap for responsible machine learning for health care Hit paper breakdown → | 2019 | 647 |
| 3 | 2010 | 480 | |
| 4 | Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities Hit paper breakdown → | 2018 | 457 |
| 5 | 2020 | 254 | |
| 6 | 2019 | 183 | |
| 7 | 2016 | 176 | |
| 8 | 2015 | 173 | |
| 9 | 2003 | 165 | |
| 10 | 2020 | 143 | |
| 11 | 2002 | 124 | |
| 12 | 2019 | 120 | |
| 13 | 2019 | 117 | |
| 14 | 2015 | 93 | |
| 15 | 2007 | 89 | |
| 16 | 2020 | 78 | |
| 17 | 2022 | 72 | |
| 18 | 2016 | 65 | |
| 19 | 2022 | 62 | |
| 20 | 2009 | 59 |
About Anna Goldenberg
Anna Goldenberg is a scholar working on Health Informatics, Cancer Research, Molecular Biology, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 131 papers that have together received 6.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (13 papers), Artificial Intelligence in Healthcare and Education (11 papers), Machine Learning in Healthcare (9 papers), Cancer Genomics and Diagnostics (8 papers), Explainable Artificial Intelligence (XAI) (7 papers), Computational Drug Discovery Methods (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Health Informatics (593 citations), Health Information Management (249 citations), Cancer Research (610 citations), Statistical and Nonlinear Physics (496 citations) and Molecular Biology (2.3k citations). Anna Goldenberg has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Bo Wang, Benjamin Haibe‐Kains, Aziz M. Mezlini, Michael Brudno, Marc Fiume, Zhuowen Tu, Ladislav Rampášek, Petr Smirnov, Suchi Saria and Jure Leskovec. Their work appears in journals such as Bioinformatics, F1000Research, The Journal of Trauma: Injury, Infection, and Critical Care, npj Digital Medicine and Advances in experimental medicine and biology.
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.