Tejal Patel
- Health Informatics top 10%
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- Breast Cancer Treatment Studies 3
- Cancer, Hypoxia, and Metabolism 2
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- Global Cancer Incidence and Screening 2
- Cancer Cells and Metastasis 2
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- Radiomics and Machine Learning in Medical Imaging 3
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- AI in cancer detection 3
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- Metabolism and Genetic Disorders 2
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- Sexual Differentiation and Disorders 2
- Co-authors
- Jenny C. ChangDirk JaegerNiels HalamaAngel RodriguezRichard G. PestellXuanmao JiaoAndrew V. KossenkovJoe Ensor
- Partner nations
- United StatesNew ZealandGermany
In The Last Decade
Tejal Patel
15 papers receiving 562 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 22
- Cancer Research 141
- Oncology 217
- Immunology 141
- Biochemistry 24
Countries citing papers authored by Tejal Patel
This map shows the geographic impact of Tejal Patel'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 Tejal Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejal Patel more than expected).
Fields of papers citing papers by Tejal Patel
This network shows the impact of papers produced by Tejal Patel. 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 Tejal Patel. The network helps show where Tejal Patel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tejal Patel, 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 | 2023 | 6 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 172 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 48 | |
| 13 | 2015 | 46 | |
| 14 | 2015 | 175 | |
| 15 | Significant efficacy in a phase 2 study of NKTR-102, a novel polymer conjugate of Irinotecan, in patients with pre-treated metastatic breast cancer (MBC) | 2010 | 2 |
About Tejal Patel
Tejal Patel is a scholar working on Cancer Research, Clinical Biochemistry and Oncology, having authored 15 papers that have together received 571 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Breast Cancer Treatment Studies (3 papers), Global Cancer Incidence and Screening (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Metabolism and Genetic Disorders (2 papers), Sexual Differentiation and Disorders (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Health Informatics (22 citations), Cancer Research (141 citations) and Oncology (217 citations). Tejal Patel has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Jenny C. Chang, Dirk Jaeger, Niels Halama, Angel Rodriguez, Richard G. Pestell, Xuanmao Jiao, Andrew V. Kossenkov, Joe Ensor, Heidi L. Weiss and Bhuvanesh Dave.
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.