Jennifer Rood
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Cell Image Analysis Techniques 7
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Aviv Regev (6 shared papers)Anna Hupalowska (6 shared papers)Paul Chang (2 shared papers)Anthony K. L. Leung (2 shared papers)Arjun J. Bhutkar (1 shared paper)Phillip A. Sharp (1 shared paper)Sejal Vyas (1 shared paper)George A. Bray (6 shared papers)
- Journals
- Cell (3 papers)Nature (3 papers)American Journal of Clinical Nutrition (2 papers)Nature Biotechnology (2 papers)Diabetologia (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jennifer Rood
22 papers receiving 2.2k citations
Jennifer Rood's Hit Papers
Peers
Comparison fields: 5 of 128
- Biophysics 277
- Cancer Research 276
- Molecular Biology 1.2k
- Oncology 315
- Immunology 251
Countries citing papers authored by Jennifer Rood
This map shows the geographic impact of Jennifer Rood'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 Jennifer Rood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Rood more than expected).
Fields of papers citing papers by Jennifer Rood
This network shows the impact of papers produced by Jennifer Rood. 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 Jennifer Rood. The network helps show where Jennifer Rood may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Rood, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The human body at cellular resolution: the NIH Human Biomolecular Atlas Program Hit paper breakdown → | 2019 | 391 |
| 2 | The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution Hit paper breakdown → | 2020 | 375 |
| 3 | 2011 | 363 | |
| 4 | 2012 | 238 | |
| 5 | 2021 | 130 | |
| 6 | 2022 | 123 | |
| 7 | 2013 | 110 | |
| 8 | 2019 | 86 | |
| 9 | 2024 | 73 | |
| 10 | 2024 | 54 | |
| 11 | 2015 | 53 | |
| 12 | 2019 | 50 | |
| 13 | 2014 | 48 | |
| 14 | 2021 | 44 | |
| 15 | 2015 | 32 | |
| 16 | 2015 | 23 | |
| 17 | 2021 | 17 | |
| 18 | 2024 | 15 | |
| 19 | 2022 | 10 | |
| 20 | 2013 | 8 |
About Jennifer Rood
Jennifer Rood is a scholar working on Biophysics, Cancer Research, Molecular Biology, Physiology and Genetics, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cell Image Analysis Techniques (7 papers), Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (2 papers), AI in cancer detection (2 papers), Dietary Effects on Health (1 paper), Biomedical and Engineering Education (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Biophysics (277 citations), Cancer Research (276 citations), Molecular Biology (1.2k citations), Oncology (315 citations) and Immunology (251 citations). Jennifer Rood has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Aviv Regev, Anna Hupalowska, Paul Chang, Anthony K. L. Leung, Arjun J. Bhutkar, Phillip A. Sharp, Sejal Vyas, George A. Bray, Sarah Amalia Teichmann and Jeffrey M. Gimble. Their work appears in journals such as Cell, Nature, American Journal of Clinical Nutrition, Nature Biotechnology and Diabetologia.
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.