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
-
- Bioinformatics and Genomic Networks 14
- Gene expression and cancer classification 10
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- Machine Learning in Healthcare 10
- Explainable Artificial Intelligence (XAI) 9
- Co-authors
- Bo Wang (9 shared papers)Benjamin Haibe‐Kains (12 shared papers)Aziz M. Mezlini (5 shared papers)Michael Brudno (8 shared papers)Marc Fiume (2 shared papers)Zhuowen Tu (1 shared paper)Ladislav Rampášek (3 shared papers)Jure Leskovec (2 shared papers)
- Journals
- Bioinformatics (5 papers)PLoS ONE (3 papers)Advances in experimental medicine and biology (3 papers)Cancer Research (3 papers)npj Digital Medicine (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Anna Goldenberg
124 papers receiving 5.9k citations
Anna Goldenberg's Hit Papers
Peers
Comparison fields: 5 of 200
- Health Informatics 479
- Health Information Management 208
- Cancer Research 561
- Statistical and Nonlinear Physics 444
- Molecular Biology 2.1k
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 128 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 | 1305 |
| 2 | Do no harm: a roadmap for responsible machine learning for health care Hit paper breakdown → | 2019 | 543 |
| 3 | 2010 | 422 | |
| 4 | Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities Hit paper breakdown → | 2018 | 406 |
| 5 | 2020 | 234 | |
| 6 | 2019 | 169 | |
| 7 | 2015 | 167 | |
| 8 | 2016 | 162 | |
| 9 | 2003 | 160 | |
| 10 | 2020 | 130 | |
| 11 | 2002 | 121 | |
| 12 | 2019 | 113 | |
| 13 | 2019 | 106 | |
| 14 | 2007 | 85 | |
| 15 | 2012 | 81 | |
| 16 | 2015 | 79 | |
| 17 | 2020 | 68 | |
| 18 | 2022 | 65 | |
| 19 | 2009 | 57 | |
| 20 | 2009 | 54 |
About Anna Goldenberg
Anna Goldenberg is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Health Informatics and Pulmonary and Respiratory Medicine, having authored 128 papers that have together received 6.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Artificial Intelligence in Healthcare and Education (11 papers), Gene expression and cancer classification (10 papers), Machine Learning in Healthcare (10 papers), Explainable Artificial Intelligence (XAI) (9 papers), Cancer Genomics and Diagnostics (8 papers), Cell Image Analysis Techniques (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (479 citations), Health Information Management (208 citations), Cancer Research (561 citations), Statistical and Nonlinear Physics (444 citations) and Molecular Biology (2.1k citations). Anna Goldenberg has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Bo Wang, Benjamin Haibe‐Kains, Aziz M. Mezlini, Michael Brudno, Marc Fiume, Zhuowen Tu, Ladislav Rampášek, Jure Leskovec, Marinka Žitnik and Wolfgang Kummer. Their work appears in journals such as Bioinformatics, PLoS ONE, Advances in experimental medicine and biology, Cancer Research and npj Digital Medicine.
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.