Heather Eckart
Impact in
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- Cancer-related molecular mechanisms research
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- Ovarian cancer diagnosis and treatment
Papers in
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- Single-cell and spatial transcriptomics 7
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
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- Reproductive System and Pregnancy 2
- Immune Cell Function and Interaction 2
- Co-authors
- Anindita Basu (9 shared papers)Bingqing Xie (4 shared papers)Susan Olalekan (4 shared papers)Kevin P. White (2 shared papers)Tonya M. Brunetti (2 shared papers)Vineet K. Dhiman (1 shared paper)Yuwen Liu (1 shared paper)Shan Yu (1 shared paper)
- Journals
- Cell Reports (2 papers)Nature Communications (2 papers)Vaccines (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Heather Eckart
10 papers receiving 414 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 83
- Reproductive Medicine 35
- Molecular Biology 278
- Immunology 60
- Oncology 45
Countries citing papers authored by Heather Eckart
This map shows the geographic impact of Heather Eckart'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 Heather Eckart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Eckart more than expected).
Fields of papers citing papers by Heather Eckart
This network shows the impact of papers produced by Heather Eckart. 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 Heather Eckart. The network helps show where Heather Eckart may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Eckart, 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 | 2021 | 109 | |
| 2 | 2017 | 73 | |
| 3 | 2020 | 68 | |
| 4 | 2018 | 59 | |
| 5 | 2022 | 34 | |
| 6 | 2020 | 30 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2025 | 7 | |
| 10 | 2024 | 2 | |
| 11 | 2020 | 0 |
About Heather Eckart
Heather Eckart is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 11 papers that have together received 415 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cancer Immunotherapy and Biomarkers (2 papers), Reproductive System and Pregnancy (2 papers), Immune Cell Function and Interaction (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (83 citations), Reproductive Medicine (35 citations), Molecular Biology (278 citations), Immunology (60 citations) and Oncology (45 citations). Heather Eckart has collaborated with scholars based in United States and China. Frequent co-authors include Anindita Basu, Bingqing Xie, Susan Olalekan, Kevin P. White, Tonya M. Brunetti, Vineet K. Dhiman, Yuwen Liu, Shan Yu, Sebastian Pott and Jonathan E. Burnett. Their work appears in journals such as Cell Reports, Nature Communications, Vaccines, Frontiers in Cell and Developmental Biology and Proceedings of the National 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.