Julia Waldman
Impact in
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- Single-cell and spatial transcriptomics
- Renal and related cancers
- Pluripotent Stem Cells Research
- Gene Regulatory Network Analysis
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- Cancer Genomics and Diagnostics
Papers in
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- Single-cell and spatial transcriptomics 4
- Gene expression and cancer classification 2
- Protein Interaction Studies and Fluorescence Analysis 1
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- Blood Pressure and Hypertension Studies 1
- Co-authors
- Aviv Regev (4 shared papers)Lan Nguyễn (2 shared papers)Danielle Dionne (2 shared papers)Bertrand Z. Yeung (2 shared papers)Maheswarareddy Emani (1 shared paper)Yiming Zhou (1 shared paper)Katherine A. Vernon (1 shared paper)Maria Kost‐Alimova (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature Methods (1 paper)Bioconjugate Chemistry (1 paper)Genome biology (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Julia Waldman
6 papers receiving 331 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 262
- Cancer Research 45
- Biophysics 18
- Nephrology 15
- Immunology 34
Countries citing papers authored by Julia Waldman
This map shows the geographic impact of Julia Waldman'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 Julia Waldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Waldman more than expected).
Fields of papers citing papers by Julia Waldman
This network shows the impact of papers produced by Julia Waldman. 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 Julia Waldman. The network helps show where Julia Waldman may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Waldman, 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 | 2019 | 145 | |
| 2 | 2019 | 94 | |
| 3 | 2021 | 84 | |
| 4 | 2018 | 4 | |
| 5 | 1990 | 4 | |
| 6 | 1967 | 3 | |
| 7 | 2025 | 0 |
About Julia Waldman
Julia Waldman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Neurology and Microbiology, having authored 7 papers that have together received 334 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper), Renal cell carcinoma treatment (1 paper), Protein Interaction Studies and Fluorescence Analysis (1 paper), Dementia and Cognitive Impairment Research (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Molecular Biology (262 citations), Cancer Research (45 citations), Biophysics (18 citations), Nephrology (15 citations) and Immunology (34 citations). Julia Waldman has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Aviv Regev, Lan Nguyễn, Danielle Dionne, Bertrand Z. Yeung, Maheswarareddy Emani, Yiming Zhou, Katherine A. Vernon, Maria Kost‐Alimova, Ayshwarya Subramanian and Eriene-Heidi Sidhom. Their work appears in journals such as Nature Communications, Nature Methods, Bioconjugate Chemistry, Genome biology and Annals of the New York Academy of Sciences.
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.