Sandeep Sehdev
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Family Practice top 10%
Papers in
- Oncology 18
- Cancer Treatment and Pharmacology 5
- HER2/EGFR in Cancer Research 4
- Global Cancer Incidence and Screening 4
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- Breast Cancer Treatment Studies 13
- Co-authors
- Sunil Verma (5 shared papers)Tadeusz Pieńkowski (4 shared papers)W. Eiermann (4 shared papers)John Crown (4 shared papers)Mansoor N. Saleh (3 shared papers)Miguel Martín (3 shared papers)Arlene Chan (3 shared papers)Guido Sauter (3 shared papers)
- Journals
- Cancer Research (2 papers)Annals of Oncology (2 papers)Journal of Clinical Oncology (2 papers)Current Oncology (16 papers)Journal of Evaluation in Clinical Practice (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Sandeep Sehdev
34 papers receiving 459 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 163
- Family Practice 15
- Oncology 190
- Pulmonary and Respiratory Medicine 92
- Dermatology 9
Countries citing papers authored by Sandeep Sehdev
This map shows the geographic impact of Sandeep Sehdev'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 Sandeep Sehdev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Sehdev more than expected).
Fields of papers citing papers by Sandeep Sehdev
This network shows the impact of papers produced by Sandeep Sehdev. 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 Sandeep Sehdev. The network helps show where Sandeep Sehdev may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeep Sehdev, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 110 | |
| 2 | 2016 | 49 | |
| 3 | 2013 | 34 | |
| 4 | 2009 | 24 | |
| 5 | 2009 | 23 | |
| 6 | 2011 | 23 | |
| 7 | 2023 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2013 | 20 | |
| 10 | 2016 | 17 | |
| 11 | 2011 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2007 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 5 |
About Sandeep Sehdev
Sandeep Sehdev is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Economics and Econometrics and Genetics, having authored 35 papers that have together received 471 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Advanced Breast Cancer Therapies (6 papers), Economic and Financial Impacts of Cancer (6 papers), Cancer Treatment and Pharmacology (5 papers), Pharmaceutical Economics and Policy (5 papers), HER2/EGFR in Cancer Research (4 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Cancer Research (163 citations), Family Practice (15 citations), Oncology (190 citations), Pulmonary and Respiratory Medicine (92 citations) and Dermatology (9 citations). Sandeep Sehdev has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Sunil Verma, Tadeusz Pieńkowski, W. Eiermann, John Crown, Mansoor N. Saleh, Miguel Martín, Arlene Chan, Guido Sauter, Louise Provencher and John R. Mackey. Their work appears in journals such as Cancer Research, Annals of Oncology, Journal of Clinical Oncology, Current Oncology and Journal of Evaluation in Clinical Practice.
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.