Rachel Brandt
- Cancer Research top 5%
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- Diabetes Management and Research 14
- Oncology top 10%
- Health Information Management top 10%
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- Pancreatic function and diabetes 8
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- Heart Rate Variability and Autonomic Control 6
- Cardiovascular Function and Risk Factors 4
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- Non-Invasive Vital Sign Monitoring 5
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- Advanced Control Systems Optimization 4
- Control Systems and Identification 3
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- Sleep and related disorders 3
Rachel Brandt
27 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 390
- Endocrinology, Diabetes and Metabolism 245
- Oncology 328
- Molecular Biology 452
- Health Information Management 28
Countries citing papers authored by Rachel Brandt
This map shows the geographic impact of Rachel Brandt'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 Rachel Brandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Brandt more than expected).
Fields of papers citing papers by Rachel Brandt
This network shows the impact of papers produced by Rachel Brandt. 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 Rachel Brandt. The network helps show where Rachel Brandt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel Brandt, 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 | 2022 | 8 | |
| 2 | 2021 | 32 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 15 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 1 | |
| 9 | Prediction of Blood Glucose Levels for People with Type 1 Diabetes using Latent-Variable-based Model. | 2020 | 6 |
| 10 | 2019 | 51 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 11 | |
| 15 | Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencingbreakdown → | 2018 | 699 |
| 16 | 2018 | 6 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 9 | |
| 19 | 2010 | 5 | |
| 20 | 2006 | 16 |
About Rachel Brandt
Rachel Brandt is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (14 papers), Pancreatic function and diabetes (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Cardiovascular Function and Risk Factors (4 papers), Advanced Control Systems Optimization (4 papers), Sleep and related disorders (3 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Cancer Research (390 citations), Endocrinology, Diabetes and Metabolism (245 citations) and Oncology (328 citations). Rachel Brandt has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Johan Hartman, Theodoros Foukakis, Emi Sei, Nicola Crosetto, Nicholas E. Navin, Thomas Hatschek, Charissa Kim, Ruli Gao, Ali Çınar and Mudassir Rashid. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetes, Computers & Chemical Engineering, Computer Methods and Programs in Biomedicine and Industrial & Engineering Chemistry Research.
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.