Anna Goldenberg
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 14
- Health Information Management top 0.5%
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 8
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 11
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- Machine Learning in Healthcare 12
- Explainable Artificial Intelligence (XAI) 10
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- Cell Image Analysis Techniques 7
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- Computational Drug Discovery Methods 6
- Co-authors
- Bo WangBenjamin Haibe‐KainsAziz M. MezliniMichael BrudnoMarc FiumeZhuowen TuLadislav RampášekWolfgang Kummer
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Anna Goldenberg
124 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Health Informatics 520
- Health Information Management 248
- Cancer Research 667
- Statistical and Nonlinear Physics 439
- Molecular Biology 2.4k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 14 | |
| 9 | Preparing a Clinical Support Model for Silent Mode in General Internal Medicine | 2020 | 5 |
| 10 | What went wrong and when? Instance-wise feature importance for time-series black-box models | 2020 | 14 |
| 11 | 2019 | 30 | |
| 12 | 2019 | 110 | |
| 13 | Dynamic Measurement Scheduling for Event Forecasting using Deep RL. | 2019 | 2 |
| 14 | 2019 | 25 | |
| 15 | Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks | 2019 | 5 |
| 16 | Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. | 2018 | 2 |
| 17 | 2017 | 28 | |
| 18 | 2017 | 15 | |
| 19 | 2017 | 11 | |
| 20 | 2017 | 19 |
About Anna Goldenberg
Anna Goldenberg is a scholar working on Health Informatics, Biophysics, Cancer Research, Health Information Management and Internal Medicine, having authored 128 papers that have together received 5.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Artificial Intelligence in Healthcare and Education (14 papers), Machine Learning in Healthcare (12 papers), Gene expression and cancer classification (11 papers), Explainable Artificial Intelligence (XAI) (10 papers), Cancer Genomics and Diagnostics (8 papers), Cell Image Analysis Techniques (7 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Health Informatics (520 citations), Health Information Management (248 citations), Cancer Research (667 citations), Statistical and Nonlinear Physics (439 citations) and Molecular Biology (2.4k 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, Wolfgang Kummer, Jure Leskovec and Marinka Žitnik. Their work appears in journals such as Bioinformatics, npj Digital Medicine, Cancer Research, Advances in experimental medicine and biology and The Journal of Trauma: Injury, Infection, and Critical Care.
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.